In [1]:
# Xử lý dữ liệu
import pandas as pd
import numpy as np
import os
import re
import missingno as msno
import statsmodels.api as sm
from statsmodels.tsa.interp import denton
import warnings
# Lưu model
import joblib
import json

# Machine Learning
from sklearn.model_selection import RandomizedSearchCV
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
import lightgbm as lgb
import xgboost as xgb
from scipy.stats import randint
from sklearn.preprocessing import RobustScaler, MinMaxScaler, StandardScaler, MaxAbsScaler, QuantileTransformer, PowerTransformer
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, classification_report, confusion_matrix
# Deep Learning - LSTM
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.layers import Input, LSTM, Dense, Dropout, Bidirectional, BatchNormalization
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, TensorBoard
from tensorflow.keras.optimizers import Adam, RMSprop
# Visualization
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px

# Warning
import warnings
warnings.filterwarnings('ignore')

from IPython.display import display
# Đặt định dạng hiển thị số với 2 chữ số thập phân
pd.options.display.float_format = '{:,.2f}'.format
# Bỏ giới hạn hiển thị dòng và cột
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)

File này sẽ sử dụng kết quả dự đoán của mô hình dự đoán giá cổ phiếu từ Báo cáo tài chính và Thị trường, đồng thời sẽ tích hợp các Features thu được từ việc phân tích tin tức với LLM.

In [2]:
# Đọc dữ liệu
def basic_stats(df, name):
    print(name)
    display(df.head())
    display(df.tail())
    print(df.info())
    print("Số giá trị bị rỗng:")
    print(df.isnull().sum())
    print("Thống kê các giá trị:")
    display(df.describe())
    print(df.nunique())
    print("Các giá trị độc nhất của từng trường dữ liệu:")
    for col in list(df.columns):
        print(f"{col}:")
        print(f"{list(df[col].unique())[:20]}..., số giá trị độc nhất: {len(list(df[col].unique()))}")
    print("Các bản ghi bị trùng:")
    display(df[df.duplicated()])
In [3]:
# Có thể chỉnh sửa đường dẫn nếu cần
folder_path = 'DATA EXPLORER CONTEST/Data/'
data = {}
for filename in sorted(os.listdir(folder_path)):
  if os.path.isfile(os.path.join(folder_path, filename)):
    print(f"Accessing file: {filename}")
    data[filename] = pd.read_csv(os.path.join(folder_path, filename))
    basic_stats(data[filename], filename)

Accessing file: CMG_financial_data_processed.csv
CMG_financial_data_processed.csv
Indicator StockID Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023
0 BVPS cơ bản CMG 10,836.00 10,943.00 8,620.00 8,425.00 8,880.00 14,863.00 16,649.00 14,079.00 19,264.00 19,183.00 22,936.00 23,863.00 25,832.00 21,056.00 18,106.00 10,765.00 10,974.00 8,910.00 8,527.00 9,338.00 15,339.00 16,271.00 14,124.00 19,411.00 31,019.00 23,578.00 24,812.00 27,175.00 21,514.00 18,091.00 10,907.00 11,353.00 10,276.00 9,040.00 8,960.00 9,899.00 16,124.00 17,352.00 19,163.00 20,351.00 22,632.00 23,452.00 25,904.00 28,217.00 21,740.00 18,833.00 11,353.00 8,979.00 8,774.00 8,812.00 10,178.00 16,460.00 17,810.00 18,822.00 19,231.00 22,735.00 23,989.00 26,615.00 20,818.00 17,585.00 12,835.00 19,381.00 10,571.00 12,017.00 10,859.00 8,671.00 8,583.00 8,867.00 10,084.00 16,568.00 17,649.00 18,540.00 18,910.00 22,524.00 23,230.00 26,899.00 20,736.00 17,598.00
1 Doanh thu thuần CMG 1,610,336 821,419 530,816 559,843 635,239 756,779 987,307 1,040,356 1,202,209 1,106,869 1,058,028 1,300,869 1,709,273 1,771,468 1,793,444 922,414 718,998 751,085 687,825 803,020 885,136 1,168,215 1,354,581 1,256,553 1,193,295 1,245,704 1,373,350 1,835,257 1,789,573 2,184,512 867,182 977,300 685,556 806,244 825,069 842,396 1,075,364 1,163,880 1,417,214 1,452,397 1,486,753 1,545,943 1,838,288 2,302,108 2,116,747 2,303,163 977,300 690,110 767,773 836,462 936,024 970,102 1,070,106 1,045,576 1,323,755 1,214,089 1,369,723 1,781,221 1,831,021 1,649,042 NaN 1,108,066 2,001,186 3,408,605 3,670,427 2,780,068 2,531,407 2,858,615 3,264,707 3,693,813 4,384,363 4,869,842 5,185,715 4,855,806 5,181,109 6,290,385 7,663,640 7,341,773
2 EPS 4 quý CMG 286.00 1,239.00 -919.00 288.00 607.00 1,641.00 1,741.00 1,938.00 2,651.00 1,865.00 1,938.00 2,000.00 2,938.00 2,608.00 2,016.00 392.00 1,175.00 -642.00 87.00 1,000.00 1,661.00 1,768.00 2,447.00 2,315.00 1,854.00 1,776.00 2,284.00 3,025.00 2,246.00 1,861.00 114.00 793.00 723.00 -615.00 412.00 1,193.00 1,713.00 1,765.00 2,567.00 2,251.00 2,015.00 1,749.00 2,549.00 3,085.00 2,210.00 1,737.00 1,309.00 -774.00 329.00 332.00 1,584.00 1,664.00 1,849.00 2,484.00 2,329.00 1,851.00 1,843.00 2,610.00 2,818.00 2,145.00 0 2,136.00 1,379.00 1,941.00 573.00 -1,577.00 149.00 254.00 1,646.00 1,623.00 2,366.00 2,018.00 2,339.00 1,749.00 657.00 2,415.00 2,680.00 2,218.00
3 LN thuần từ HĐKD CMG 41,056 10,988 -989 -7,265 9,325 18,194 32,775 36,027 51,118 27,324 48,267 72,017 105,898 108,649 114,375 20,174 -192 11,400 8,636 31,302 42,355 47,591 93,073 69,802 77,793 83,728 114,370 116,603 89,263 88,704 16,260 44,248 6,949 5,174 34,063 43,877 58,244 60,425 64,556 68,151 95,226 98,987 132,106 132,333 168,928 178,469 44,248 -63,413 7,211 -7,897 24,131 32,630 36,576 36,712 54,103 50,606 66,017 72,973 79,110 74,525 NaN 88,263 111,408 152,106 58,232 -92,063 10,864 31,995 121,508 150,334 176,071 203,133 247,195 247,075 285,996 397,489 401,311 455,908
4 LNST của CĐ cty mẹ CMG 28,845 6,438 -3,670 -6,373 11,796 15,524 20,619 26,514 38,204 8,591 28,354 44,089 79,902 83,918 83,226 6,705 2,632 20,031 6,482 32,436 33,792 35,587 69,334 47,599 48,975 46,744 75,138 90,658 67,951 61,051 7,274 32,726 4,046 5,186 26,879 39,697 43,142 42,934 50,864 47,235 67,003 71,845 98,336 111,603 130,078 126,571 32,726 -62,690 548 -4,893 21,026 17,781 23,346 18,062 25,796 27,912 37,311 43,431 44,385 43,479 NaN 72,608 87,587 123,307 36,344 -101,023 10,051 16,894 109,036 107,516 156,707 133,844 159,483 144,047 65,722 241,532 310,517 336,519
Indicator StockID Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023
12 ROEA CMG 3.98 0.93 -0.63 -1.11 1.99 1.80 1.86 2.52 3.00 0.63 1.25 1.87 2.90 2.67 2.45 0.98 0.38 3.39 1.14 5.29 3.32 3.21 7.42 3.66 2.71 2.01 3.09 3.14 2.12 1.77 2.10 4.66 0.58 0.86 4.56 6.13 4.07 3.82 4.61 3.53 2.98 3.06 3.88 3.70 3.99 3.60 4.54 -9.67 0.09 -0.82 2.98 1.62 2.00 1.42 1.87 1.23 1.57 1.65 1.43 1.31 0 20.08 13.17 17.18 5.00 -15.88 1.73 2.90 16.59 11.79 13.83 11.07 12.22 7.97 2.87 9.64 10.68 10.41
13 ROS CMG 1.72 0.71 -0.64 -1.20 1.92 2.57 2.86 3.32 4.04 1.95 4.04 4.80 5.38 5.46 5.42 0.67 0.31 2.14 0.94 4.22 4.69 3.57 6.24 4.79 5.69 5.26 7.01 5.65 4.52 3.56 0.71 3.35 0.49 0.71 3.68 5.07 4.97 4.60 4.34 4.29 5.59 5.70 6.48 5.42 7.24 6.56 3.35 -9.20 0.53 -0.20 2.50 2.68 3.01 2.87 3.21 3.66 3.91 3.45 2.85 3.66 0 6.53 4.34 3.60 0.94 -3.74 0.39 0.82 3.61 3.70 3.57 3.70 4.13 4.30 4.65 5.05 4.63 5.47
14 Tài sản ngắn hạn CMG 1,933,183 1,287,452 1,019,304 975,849 900,326 1,200,034 1,483,497 1,542,768 1,967,147 2,439,354 3,153,232 3,126,655 3,497,029 3,234,755 3,587,665 1,718,506 1,102,042 1,079,265 853,412 783,035 1,156,274 1,479,070 1,623,697 2,021,912 3,065,533 3,069,638 3,215,365 3,541,812 3,366,116 3,962,958 1,316,482 1,583,209 1,247,906 1,137,597 930,625 954,330 1,233,825 1,490,075 1,905,337 2,178,587 3,042,821 3,055,209 3,739,980 3,803,282 3,677,883 3,964,438 1,583,209 1,021,931 1,030,908 904,047 989,624 1,317,954 1,302,540 1,683,622 2,297,584 2,931,781 2,921,848 3,650,198 3,402,610 3,247,345 374,347 935,239 1,334,977 1,680,526 1,483,175 1,062,596 978,625 913,826 934,212 1,303,119 1,369,835 1,663,914 2,198,562 2,925,508 2,861,063 3,513,116 3,535,833 3,172,994
15 Tổng tài sản CMG 2,486,648 1,733,319 1,515,531 1,674,172 1,674,876 2,024,813 2,375,324 2,612,221 3,292,410 4,035,649 4,958,111 5,253,316 6,444,621 6,973,847 7,303,536 2,308,843 1,560,581 1,716,360 1,568,126 1,563,872 2,005,533 2,424,911 2,716,193 3,371,430 4,675,083 5,049,690 5,446,220 6,677,892 6,947,863 7,696,552 1,763,272 2,158,498 1,711,745 1,828,572 1,662,349 1,755,044 2,118,466 2,482,220 3,120,977 3,593,510 4,724,331 5,101,363 5,996,182 6,922,756 7,279,034 7,719,735 2,158,498 1,490,644 1,721,341 1,677,188 1,812,792 2,204,683 2,361,050 2,996,698 3,852,081 4,648,618 5,028,879 6,170,471 6,641,662 6,922,260 399,383 969,752 1,668,682 2,166,408 1,934,682 1,530,007 1,672,329 1,688,807 1,762,358 2,195,669 2,418,839 2,997,628 3,708,919 4,649,385 4,983,477 6,255,925 6,561,871 6,853,773
16 Vốn chủ sở hữu CMG 686,693 695,247 580,462 567,341 597,980 1,000,905 1,121,166 932,613 1,297,264 1,382,212 2,293,633 2,386,282 2,815,657 3,171,000 3,440,604 683,982 697,271 599,999 574,214 628,838 1,032,987 1,095,715 935,623 1,307,179 2,235,046 2,357,818 2,481,194 2,962,088 3,239,877 3,445,220 693,012 721,339 692,011 608,780 603,405 666,603 1,085,814 1,149,457 1,269,410 1,370,494 2,263,222 2,345,166 2,590,378 3,075,648 3,273,530 3,585,717 721,339 604,635 590,873 593,426 744,361 1,108,479 1,179,793 1,267,481 1,385,707 2,273,528 2,398,910 2,661,539 3,135,052 3,341,595 64,310 658,945 671,639 763,503 688,844 583,092 577,160 587,357 727,076 1,097,499 1,169,142 1,248,543 1,362,556 2,252,403 2,323,023 2,689,874 3,122,743 3,344,148 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 17 entries, 0 to 16
Data columns (total 80 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  17 non-null     object
 1   StockID    17 non-null     object
 2   Q1_2010    17 non-null     object
 3   Q1_2011    17 non-null     object
 4   Q1_2012    17 non-null     object
 5   Q1_2013    17 non-null     object
 6   Q1_2014    17 non-null     object
 7   Q1_2015    16 non-null     object
 8   Q1_2016    16 non-null     object
 9   Q1_2017    17 non-null     object
 10  Q1_2018    16 non-null     object
 11  Q1_2019    16 non-null     object
 12  Q1_2020    16 non-null     object
 13  Q1_2021    16 non-null     object
 14  Q1_2022    16 non-null     object
 15  Q1_2023    16 non-null     object
 16  Q1_2024    16 non-null     object
 17  Q2_2010    17 non-null     object
 18  Q2_2011    17 non-null     object
 19  Q2_2012    17 non-null     object
 20  Q2_2013    17 non-null     object
 21  Q2_2014    17 non-null     object
 22  Q2_2015    16 non-null     object
 23  Q2_2016    16 non-null     object
 24  Q2_2017    17 non-null     object
 25  Q2_2018    16 non-null     object
 26  Q2_2019    16 non-null     object
 27  Q2_2020    16 non-null     object
 28  Q2_2021    16 non-null     object
 29  Q2_2022    16 non-null     object
 30  Q2_2023    16 non-null     object
 31  Q2_2024    16 non-null     object
 32  Q3_2009    17 non-null     object
 33  Q3_2010    17 non-null     object
 34  Q3_2011    17 non-null     object
 35  Q3_2012    17 non-null     object
 36  Q3_2013    17 non-null     object
 37  Q3_2014    17 non-null     object
 38  Q3_2015    16 non-null     object
 39  Q3_2016    16 non-null     object
 40  Q3_2017    16 non-null     object
 41  Q3_2018    16 non-null     object
 42  Q3_2019    16 non-null     object
 43  Q3_2020    16 non-null     object
 44  Q3_2021    16 non-null     object
 45  Q3_2022    16 non-null     object
 46  Q3_2023    16 non-null     object
 47  Q3_2024    16 non-null     object
 48  Q4_2010    17 non-null     object
 49  Q4_2011    17 non-null     object
 50  Q4_2012    17 non-null     object
 51  Q4_2013    17 non-null     object
 52  Q4_2014    17 non-null     object
 53  Q4_2015    16 non-null     object
 54  Q4_2016    16 non-null     object
 55  Q4_2017    16 non-null     object
 56  Q4_2018    16 non-null     object
 57  Q4_2019    16 non-null     object
 58  Q4_2020    16 non-null     object
 59  Q4_2021    16 non-null     object
 60  Q4_2022    16 non-null     object
 61  Q4_2023    16 non-null     object
 62  Y2006      11 non-null     object
 63  Y2007      16 non-null     object
 64  Y2008      17 non-null     object
 65  Y2009      17 non-null     object
 66  Y2010      17 non-null     object
 67  Y2011      17 non-null     object
 68  Y2012      17 non-null     object
 69  Y2013      17 non-null     object
 70  Y2014      17 non-null     object
 71  Y2015      16 non-null     object
 72  Y2016      16 non-null     object
 73  Y2017      16 non-null     object
 74  Y2018      16 non-null     object
 75  Y2019      16 non-null     object
 76  Y2020      16 non-null     object
 77  Y2021      16 non-null     object
 78  Y2022      16 non-null     object
 79  Y2023      16 non-null     object
dtypes: object(80)
memory usage: 10.8+ KB
None
Số giá trị bị rỗng:
Indicator    0
StockID      0
Q1_2010      0
Q1_2011      0
Q1_2012      0
Q1_2013      0
Q1_2014      0
Q1_2015      1
Q1_2016      1
Q1_2017      0
Q1_2018      1
Q1_2019      1
Q1_2020      1
Q1_2021      1
Q1_2022      1
Q1_2023      1
Q1_2024      1
Q2_2010      0
Q2_2011      0
Q2_2012      0
Q2_2013      0
Q2_2014      0
Q2_2015      1
Q2_2016      1
Q2_2017      0
Q2_2018      1
Q2_2019      1
Q2_2020      1
Q2_2021      1
Q2_2022      1
Q2_2023      1
Q2_2024      1
Q3_2009      0
Q3_2010      0
Q3_2011      0
Q3_2012      0
Q3_2013      0
Q3_2014      0
Q3_2015      1
Q3_2016      1
Q3_2017      1
Q3_2018      1
Q3_2019      1
Q3_2020      1
Q3_2021      1
Q3_2022      1
Q3_2023      1
Q3_2024      1
Q4_2010      0
Q4_2011      0
Q4_2012      0
Q4_2013      0
Q4_2014      0
Q4_2015      1
Q4_2016      1
Q4_2017      1
Q4_2018      1
Q4_2019      1
Q4_2020      1
Q4_2021      1
Q4_2022      1
Q4_2023      1
Y2006        6
Y2007        1
Y2008        0
Y2009        0
Y2010        0
Y2011        0
Y2012        0
Y2013        0
Y2014        0
Y2015        1
Y2016        1
Y2017        1
Y2018        1
Y2019        1
Y2020        1
Y2021        1
Y2022        1
Y2023        1
dtype: int64
Thống kê các giá trị:
Indicator StockID Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023
count 17 17 17 17 17 17 17 16 16 17 16 16 16 16 16 16 16 17 17 17 17 17 16 16 17 16 16 16 16 16 16 16 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 16 16 16 16 16 16 16 16 16 11 16 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16
unique 17 1 17 17 17 17 17 16 16 17 16 16 16 16 16 16 16 17 17 17 16 17 16 16 17 16 16 16 16 16 16 16 17 16 17 17 17 17 16 16 16 16 16 16 16 16 16 16 16 17 17 17 17 16 16 16 16 16 16 16 16 16 8 16 17 17 17 17 17 17 17 16 15 16 16 16 16 16 16 16
top BVPS cơ bản CMG 10,836.00 10,943.00 8,620.00 8,425.00 8,880.00 14,863.00 16,649.00 14,079.00 19,264.00 19,183.00 22,936.00 23,863.00 25,832.00 21,056.00 18,106.00 10,765.00 10,974.00 8,910.00 6,482 9,338.00 15,339.00 16,271.00 14,124.00 19,411.00 31,019.00 23,578.00 24,812.00 27,175.00 21,514.00 18,091.00 10,907.00 32,726 10,276.00 9,040.00 8,960.00 9,899.00 16,124.00 17,352.00 19,163.00 20,351.00 22,632.00 23,452.00 25,904.00 28,217.00 21,740.00 18,833.00 32,726 8,979.00 8,774.00 8,812.00 10,178.00 16,460.00 17,810.00 18,822.00 19,231.00 22,735.00 23,989.00 26,615.00 20,818.00 17,585.00 0 19,381.00 10,571.00 12,017.00 10,859.00 8,671.00 8,583.00 8,867.00 10,084.00 16,568.00 156,707 18,540.00 18,910.00 22,524.00 23,230.00 26,899.00 20,736.00 17,598.00
freq 1 17 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 
Indicator    17
StockID       1
Q1_2010      17
Q1_2011      17
Q1_2012      17
Q1_2013      17
Q1_2014      17
Q1_2015      16
Q1_2016      16
Q1_2017      17
Q1_2018      16
Q1_2019      16
Q1_2020      16
Q1_2021      16
Q1_2022      16
Q1_2023      16
Q1_2024      16
Q2_2010      17
Q2_2011      17
Q2_2012      17
Q2_2013      16
Q2_2014      17
Q2_2015      16
Q2_2016      16
Q2_2017      17
Q2_2018      16
Q2_2019      16
Q2_2020      16
Q2_2021      16
Q2_2022      16
Q2_2023      16
Q2_2024      16
Q3_2009      17
Q3_2010      16
Q3_2011      17
Q3_2012      17
Q3_2013      17
Q3_2014      17
Q3_2015      16
Q3_2016      16
Q3_2017      16
Q3_2018      16
Q3_2019      16
Q3_2020      16
Q3_2021      16
Q3_2022      16
Q3_2023      16
Q3_2024      16
Q4_2010      16
Q4_2011      17
Q4_2012      17
Q4_2013      17
Q4_2014      17
Q4_2015      16
Q4_2016      16
Q4_2017      16
Q4_2018      16
Q4_2019      16
Q4_2020      16
Q4_2021      16
Q4_2022      16
Q4_2023      16
Y2006         8
Y2007        16
Y2008        17
Y2009        17
Y2010        17
Y2011        17
Y2012        17
Y2013        17
Y2014        17
Y2015        16
Y2016        15
Y2017        16
Y2018        16
Y2019        16
Y2020        16
Y2021        16
Y2022        16
Y2023        16
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['BVPS cơ bản', 'Doanh thu thuần', 'EPS 4 quý', 'LN thuần từ HĐKD', 'LNST của CĐ cty mẹ', 'LNST thu nhập DN', 'Lợi nhuận gộp', 'Lợi ích của CĐ thiểu số', 'Nợ ngắn hạn', 'Nợ phải trả', 'P/E cơ bản', 'ROAA', 'ROEA', 'ROS', 'Tài sản ngắn hạn', 'Tổng tài sản', 'Vốn chủ sở hữu']..., số giá trị độc nhất: 17
StockID:
['CMG']..., số giá trị độc nhất: 1
Q1_2010:
['10,836.00', '1,610,336', '286.00', '41,056', '28,845', '28,625', '192,552', '6,135', '1,561,876', '1,793,820', '76.91', '1.24', '3.98', '1.72', '1,933,183', '2,486,648', '686,693']..., số giá trị độc nhất: 17
Q1_2011:
['10,943.00', '821,419', '1,239.00', '10,988', '6,438', '5,869', '94,312', '4,036', '892,978', '1,034,036', '12.27', '0.35', '0.93', '0.71', '1,287,452', '1,733,319', '695,247']..., số giá trị độc nhất: 17
Q1_2012:
['8,620.00', '530,816', '-919.00', '-989', '-3,670', '-3,397', '56,144', '6,395', '812,685', '928,674', '-7.07', '-0.24', '-0.63', '-0.64', '1,019,304', '1,515,531', '580,462']..., số giá trị độc nhất: 17
Q1_2013:
['8,425.00', '559,843', '288.00', '-7,265', '-6,373', '-6,714', '78,604', '43,464', '876,021', '1,063,367', '19.76', '-0.38', '-1.11', '-1.20', '975,849', '1,674,172', '567,341']..., số giá trị độc nhất: 17
Q1_2014:
['8,880.00', '635,239', '607.00', '9,325', '11,796', '12,224', '93,940', '50,334', '773,199', '1,026,562', '12.84', '0.70', '1.99', '1.92', '900,326', '1,674,876', '597,980']..., số giá trị độc nhất: 17
Q1_2015:
['14,863.00', '756,779', '1,641.00', '18,194', '15,524', '19,414', '94,942', nan, '791,907', '1,023,908', '6.89', '0.82', '1.80', '2.57', '1,200,034', '2,024,813', '1,000,905']..., số giá trị độc nhất: 17
Q1_2016:
['16,649.00', '987,307', '1,741.00', '32,775', '20,619', '28,244', '127,978', nan, '1,073,959', '1,254,158', '8.96', '0.90', '1.86', '2.86', '1,483,497', '2,375,324', '1,121,166']..., số giá trị độc nhất: 17
Q1_2017:
['14,079.00', '1,040,356', '1,938.00', '36,027', '26,514', '34,546', '140,149', '270,943', '1,294,824', '1,408,665', '7.38', '1.05', '2.52', '3.32', '1,542,768', '2,612,221', '932,613']..., số giá trị độc nhất: 17
Q1_2018:
['19,264.00', '1,202,209', '2,651.00', '51,118', '38,204', '48,578', '192,730', nan, '1,635,004', '1,995,146', '11.92', '1.21', '3.00', '4.04', '1,967,147', '3,292,410', '1,297,264']..., số giá trị độc nhất: 17
Q1_2019:
['19,183.00', '1,106,869', '1,865.00', '27,324', '8,591', '21,538', '190,273', nan, '1,920,682', '2,653,437', '16.09', '0.22', '0.63', '1.95', '2,439,354', '4,035,649', '1,382,212']..., số giá trị độc nhất: 17
Q1_2020:
['22,936.00', '1,058,028', '1,938.00', '48,267', '28,354', '42,759', '193,761', nan, '1,884,668', '2,664,478', '11.61', '0.59', '1.25', '4.04', '3,153,232', '4,958,111', '2,293,633']..., số giá trị độc nhất: 17
Q1_2021:
['23,863.00', '1,300,869', '2,000.00', '72,017', '44,089', '62,437', '234,891', nan, '2,153,015', '2,867,035', '18.00', '0.86', '1.87', '4.80', '3,126,655', '5,253,316', '2,386,282']..., số giá trị độc nhất: 17
Q1_2022:
['25,832.00', '1,709,273', '2,938.00', '105,898', '79,902', '91,942', '321,997', nan, '2,810,814', '3,628,964', '21.44', '1.26', '2.90', '5.38', '3,497,029', '6,444,621', '2,815,657']..., số giá trị độc nhất: 17
Q1_2023:
['21,056.00', '1,771,468', '2,608.00', '108,649', '83,918', '96,717', '304,651', nan, '2,994,574', '3,802,847', '15.30', '1.24', '2.67', '5.46', '3,234,755', '6,973,847', '3,171,000']..., số giá trị độc nhất: 17
Q1_2024:
['18,106.00', '1,793,444', '2,016.00', '114,375', '83,226', '97,266', '339,483', nan, '2,926,816', '3,862,932', '19.81', '1.18', '2.45', '5.42', '3,587,665', '7,303,536', '3,440,604']..., số giá trị độc nhất: 17
Q2_2010:
['10,765.00', '922,414', '392.00', '20,174', '6,705', '6,186', '117,559', '5,636', '1,387,654', '1,619,225', '63.80', '0.28', '0.98', '0.67', '1,718,506', '2,308,843', '683,982']..., số giá trị độc nhất: 17
Q2_2011:
['10,974.00', '718,998', '1,175.00', '-192', '2,632', '2,208', '87,106', '3,577', '713,539', '859,733', '7.58', '0.16', '0.38', '0.31', '1,102,042', '1,560,581', '697,271']..., số giá trị độc nhất: 17
Q2_2012:
['8,910.00', '751,085', '-642.00', '11,400', '20,031', '16,064', '104,960', '-2,146', '915,518', '1,118,506', '-8.10', '1.24', '3.39', '2.14', '1,079,265', '1,716,360', '599,999']..., số giá trị độc nhất: 17
Q2_2013:
['8,527.00', '687,825', '87.00', '8,636', '6,482', '97,774', '42,993', '747,485', '950,919', '51.63', '0.40', '1.14', '0.94', '853,412', '1,568,126', '574,214']..., số giá trị độc nhất: 16
Q2_2014:
['9,338.00', '803,020', '1,000.00', '31,302', '32,436', '33,848', '112,917', '51,210', '600,723', '883,823', '6.30', '2.00', '5.29', '4.22', '783,035', '1,563,872', '628,838']..., số giá trị độc nhất: 17
Q2_2015:
['15,339.00', '885,136', '1,661.00', '42,355', '33,792', '41,491', '131,471', nan, '825,834', '972,546', '9.39', '1.68', '3.32', '4.69', '1,156,274', '2,005,533', '1,032,987']..., số giá trị độc nhất: 17
Q2_2016:
['16,271.00', '1,168,215', '1,768.00', '47,591', '35,587', '41,697', '146,309', nan, '1,155,455', '1,329,196', '8.20', '1.48', '3.21', '3.57', '1,479,070', '2,424,911', '1,095,715']..., số giá trị độc nhất: 17
Q2_2017:
['14,124.00', '1,354,581', '2,447.00', '93,073', '69,334', '84,479', '222,639', '270,611', '1,300,424', '1,509,960', '6.74', '2.60', '7.42', '6.24', '1,623,697', '2,716,193', '935,623']..., số giá trị độc nhất: 17
Q2_2018:
['19,411.00', '1,256,553', '2,315.00', '69,802', '47,599', '60,181', '196,743', nan, '1,726,815', '2,064,251', '9.20', '1.43', '3.66', '4.79', '2,021,912', '3,371,430', '1,307,179']..., số giá trị độc nhất: 17
Q2_2019:
['31,019.00', '1,193,295', '1,854.00', '77,793', '48,975', '67,856', '250,038', nan, '1,709,516', '2,439,995', '20.34', '1.12', '2.71', '5.69', '3,065,533', '4,675,083', '2,235,046']..., số giá trị độc nhất: 17
Q2_2020:
['23,578.00', '1,245,704', '1,776.00', '83,728', '46,744', '65,485', '225,568', nan, '1,888,453', '2,691,872', '17.48', '0.93', '2.01', '5.26', '3,069,638', '5,049,690', '2,357,818']..., số giá trị độc nhất: 17
Q2_2021:
['24,812.00', '1,373,350', '2,284.00', '114,370', '75,138', '96,232', '271,879', nan, '2,218,167', '2,965,026', '16.33', '1.40', '3.09', '7.01', '3,215,365', '5,446,220', '2,481,194']..., số giá trị độc nhất: 17
Q2_2022:
['27,175.00', '1,835,257', '3,025.00', '116,603', '90,658', '103,624', '361,523', nan, '2,867,980', '3,715,804', '19.34', '1.38', '3.14', '5.65', '3,541,812', '6,677,892', '2,962,088']..., số giá trị độc nhất: 17
Q2_2023:
['21,514.00', '1,789,573', '2,246.00', '89,263', '67,951', '80,935', '308,421', nan, '2,836,005', '3,707,986', '20.57', '0.98', '2.12', '4.52', '3,366,116', '6,947,863', '3,239,877']..., số giá trị độc nhất: 17
Q2_2024:
['18,091.00', '2,184,512', '1,861.00', '88,704', '61,051', '77,741', '327,944', nan, '3,222,336', '4,251,333', '32.78', '0.81', '1.77', '3.56', '3,962,958', '7,696,552', '3,445,220']..., số giá trị độc nhất: 17
Q3_2009:
['10,907.00', '867,182', '114.00', '16,260', '7,274', '6,129', '86,826', '6,205', '849,768', '1,064,055', '0', '0.83', '2.10', '0.71', '1,316,482', '1,763,272', '693,012']..., số giá trị độc nhất: 17
Q3_2010:
['11,353.00', '977,300', '793.00', '44,248', '32,726', '125,005', '5,112', '1,179,421', '1,432,047', '25.47', '1.47', '4.66', '3.35', '1,583,209', '2,158,498', '721,339']..., số giá trị độc nhất: 16
Q3_2011:
['10,276.00', '685,556', '723.00', '6,949', '4,046', '3,335', '74,498', '6,520', '861,687', '1,013,214', '11.76', '0.25', '0.58', '0.49', '1,247,906', '1,711,745', '692,011']..., số giá trị độc nhất: 17
Q3_2012:
['9,040.00', '806,244', '-615.00', '5,174', '5,186', '5,723', '94,610', '29,000', '970,185', '1,190,791', '-5.69', '0.29', '0.86', '0.71', '1,137,597', '1,828,572', '608,780']..., số giá trị độc nhất: 17
Q3_2013:
['8,960.00', '825,069', '412.00', '34,063', '26,879', '30,351', '116,389', '46,335', '784,263', '1,012,609', '9.94', '1.66', '4.56', '3.68', '930,625', '1,662,349', '603,405']..., số giá trị độc nhất: 17
Q3_2014:
['9,899.00', '842,396', '1,193.00', '43,877', '39,697', '42,719', '142,456', '55,900', '706,797', '1,032,541', '7.29', '2.39', '6.13', '5.07', '954,330', '1,755,044', '666,603']..., số giá trị độc nhất: 17
Q3_2015:
['16,124.00', '1,075,364', '1,713.00', '58,244', '43,142', '53,432', '158,369', nan, '881,118', '1,032,651', '8.29', '2.09', '4.07', '4.97', '1,233,825', '2,118,466', '1,085,814']..., số giá trị độc nhất: 17
Q3_2016:
['17,352.00', '1,163,880', '1,765.00', '60,425', '42,934', '53,555', '158,195', nan, '1,202,000', '1,332,763', '9.63', '1.75', '3.82', '4.60', '1,490,075', '2,482,220', '1,149,457']..., số giá trị độc nhất: 17
Q3_2017:
['19,163.00', '1,417,214', '2,567.00', '64,556', '50,864', '61,507', '217,897', nan, '1,647,550', '1,851,567', '6.51', '1.74', '4.61', '4.34', '1,905,337', '3,120,977', '1,269,410']..., số giá trị độc nhất: 17
Q3_2018:
['20,351.00', '1,452,397', '2,251.00', '68,151', '47,235', '62,272', '228,763', nan, '1,877,812', '2,223,016', '10.66', '1.36', '3.53', '4.29', '2,178,587', '3,593,510', '1,370,494']..., số giá trị độc nhất: 17
Q3_2019:
['22,632.00', '1,486,753', '2,015.00', '95,226', '67,003', '83,132', '289,428', nan, '1,686,628', '2,461,109', '18.66', '1.43', '2.98', '5.59', '3,042,821', '4,724,331', '2,263,222']..., số giá trị độc nhất: 17
Q3_2020:
['23,452.00', '1,545,943', '1,749.00', '98,987', '71,845', '88,069', '302,764', nan, '2,008,380', '2,756,197', '19.84', '1.42', '3.06', '5.70', '3,055,209', '5,101,363', '2,345,166']..., số giá trị độc nhất: 17
Q3_2021:
['25,904.00', '1,838,288', '2,549.00', '132,106', '98,336', '119,101', '342,948', nan, '2,522,802', '3,405,804', '23.07', '1.72', '3.88', '6.48', '3,739,980', '5,996,182', '2,590,378']..., số giá trị độc nhất: 17
Q3_2022:
['28,217.00', '2,302,108', '3,085.00', '132,333', '111,603', '124,762', '399,713', nan, '2,881,133', '3,847,108', '14.85', '1.64', '3.70', '5.42', '3,803,282', '6,922,756', '3,075,648']..., số giá trị độc nhất: 17
Q3_2023:
['21,740.00', '2,116,747', '2,210.00', '168,928', '130,078', '153,238', '406,663', nan, '3,095,310', '4,005,505', '21.63', '1.83', '3.99', '7.24', '3,677,883', '7,279,034', '3,273,530']..., số giá trị độc nhất: 17
Q3_2024:
['18,833.00', '2,303,163', '1,737.00', '178,469', '126,571', '151,039', '446,011', nan, '3,163,827', '4,134,018', '29.25', '1.64', '3.60', '6.56', '3,964,438', '7,719,735', '3,585,717']..., số giá trị độc nhất: 17
Q4_2010:
['11,353.00', '977,300', '1,309.00', '44,248', '32,726', '125,005', '5,112', '1,179,421', '1,432,047', '15.12', '1.52', '4.54', '3.35', '1,583,209', '2,158,498', '721,339']..., số giá trị độc nhất: 16
Q4_2011:
['8,979.00', '690,110', '-774.00', '-63,413', '-62,690', '-63,511', '28,282', '10,926', '756,825', '875,083', '-7.75', '-3.92', '-9.67', '-9.20', '1,021,931', '1,490,644', '604,635']..., số giá trị độc nhất: 17
Q4_2012:
['8,774.00', '767,773', '329.00', '7,211', '548', '4,089', '117,262', '69,167', '870,460', '1,061,301', '14.30', '0.03', '0.09', '0.53', '1,030,908', '1,721,341', '590,873']..., số giá trị độc nhất: 17
Q4_2013:
['8,812.00', '836,462', '332.00', '-7,897', '-4,893', '-1,676', '109,942', '49,698', '818,326', '1,034,064', '13.55', '-0.29', '-0.82', '-0.20', '904,047', '1,677,188', '593,426']..., số giá trị độc nhất: 17
Q4_2014:
['10,178.00', '936,024', '1,584.00', '24,131', '21,026', '23,434', '123,625', '58,939', '788,821', '1,068,430', '5.62', '1.18', '2.98', '2.50', '989,624', '1,812,792', '744,361']..., số giá trị độc nhất: 17
Q4_2015:
['16,460.00', '970,102', '1,664.00', '32,630', '17,781', '26,012', '136,197', nan, '978,444', '1,096,204', '8.95', '0.82', '1.62', '2.68', '1,317,954', '2,204,683', '1,108,479']..., số giá trị độc nhất: 17
Q4_2016:
['17,810.00', '1,070,106', '1,849.00', '36,576', '23,346', '32,214', '158,495', nan, '1,096,861', '1,181,257', '8.11', '0.96', '2.00', '3.01', '1,302,540', '2,361,050', '1,179,793']..., số giá trị độc nhất: 17
Q4_2017:
['18,822.00', '1,045,576', '2,484.00', '36,712', '18,062', '30,016', '190,302', nan, '1,428,124', '1,729,218', '11.67', '0.59', '1.42', '2.87', '1,683,622', '2,996,698', '1,267,481']..., số giá trị độc nhất: 17
Q4_2018:
['19,231.00', '1,323,755', '2,329.00', '54,103', '25,796', '42,521', '243,583', nan, '1,809,968', '2,466,374', '10.30', '0.69', '1.87', '3.21', '2,297,584', '3,852,081', '1,385,707']..., số giá trị độc nhất: 17
Q4_2019:
['22,735.00', '1,214,089', '1,851.00', '50,606', '27,912', '44,413', '243,952', nan, '1,663,712', '2,375,090', '19.39', '0.60', '1.23', '3.66', '2,931,781', '4,648,618', '2,273,528']..., số giá trị độc nhất: 17
Q4_2020:
['23,989.00', '1,369,723', '1,843.00', '66,017', '37,311', '53,623', '256,318', nan, '1,991,382', '2,629,969', '20.62', '0.74', '1.57', '3.91', '2,921,848', '5,028,879', '2,398,910']..., số giá trị độc nhất: 17
Q4_2021:
['26,615.00', '1,781,221', '2,610.00', '72,973', '43,431', '61,488', '331,594', nan, '2,593,666', '3,508,931', '22.99', '0.71', '1.65', '3.45', '3,650,198', '6,170,471', '2,661,539']..., số giá trị độc nhất: 17
Q4_2022:
['20,818.00', '1,831,021', '2,818.00', '79,110', '44,385', '52,220', '372,627', nan, '2,714,102', '3,506,610', '14.19', '0.65', '1.43', '2.85', '3,402,610', '6,641,662', '3,135,052']..., số giá trị độc nhất: 17
Q4_2023:
['17,585.00', '1,649,042', '2,145.00', '74,525', '43,479', '60,432', '332,865', nan, '2,732,743', '3,580,664', '20.28', '0.61', '1.31', '3.66', '3,247,345', '6,922,260', '3,341,595']..., số giá trị độc nhất: 17
Y2006:
['12,835.00', nan, '0', '4,738', '329,124', '330,335', '374,347', '399,383', '64,310']..., số giá trị độc nhất: 9
Y2007:
['19,381.00', '1,108,066', '2,136.00', '88,263', '72,608', '72,353', '190,090', '3,414', '306,703', '307,394', nan, '10.61', '20.08', '6.53', '935,239', '969,752', '658,945']..., số giá trị độc nhất: 17
Y2008:
['10,571.00', '2,001,186', '1,379.00', '111,408', '87,587', '86,938', '318,745', '8,653', '916,257', '988,390', '0', '6.64', '13.17', '4.34', '1,334,977', '1,668,682', '671,639']..., số giá trị độc nhất: 17
Y2009:
['12,017.00', '3,408,605', '1,941.00', '152,106', '123,307', '122,853', '419,358', '6,354', '1,166,290', '1,396,550', '0', '6.43', '17.18', '3.60', '1,680,526', '2,166,408', '763,503']..., số giá trị độc nhất: 17
Y2010:
['10,859.00', '3,670,427', '573.00', '58,232', '36,344', '34,677', '409,131', '4,711', '1,104,039', '1,241,127', '34.54', '1.77', '5.00', '0.94', '1,483,175', '1,934,682', '688,844']..., số giá trị độc nhất: 17
Y2011:
['8,671.00', '2,780,068', '-1,577.00', '-92,063', '-101,023', '-104,064', '262,402', '4,982', '824,524', '941,933', '-3.81', '-5.83', '-15.88', '-3.74', '1,062,596', '1,530,007', '583,092']..., số giá trị độc nhất: 17
Y2012:
['8,583.00', '2,531,407', '149.00', '10,864', '10,051', '9,785', '341,329', '43,428', '873,795', '1,051,742', '31.44', '0.63', '1.73', '0.39', '978,625', '1,672,329', '577,160']..., số giá trị độc nhất: 17
Y2013:
['8,867.00', '2,858,615', '254.00', '31,995', '16,894', '23,374', '430,280', '49,907', '835,483', '1,051,543', '17.72', '1.01', '2.90', '0.82', '913,826', '1,688,807', '587,357']..., số giá trị độc nhất: 17
Y2014:
['10,084.00', '3,264,707', '1,646.00', '121,508', '109,036', '117,826', '555,550', '59,068', '786,155', '1,035,282', '5.41', '6.32', '16.59', '3.61', '934,212', '1,762,358', '727,076']..., số giá trị độc nhất: 17
Y2015:
['16,568.00', '3,693,813', '1,623.00', '150,334', '107,516', '136,727', '527,307', nan, '938,147', '1,098,170', '9.18', '5.43', '11.79', '3.70', '1,303,119', '2,195,669', '1,097,499']..., số giá trị độc nhất: 17
Y2016:
['17,649.00', '4,384,363', '2,366.00', '176,071', '156,707', '591,682', nan, '1,161,233', '1,249,698', '6.34', '6.79', '13.83', '3.57', '1,369,835', '2,418,839', '1,169,142']..., số giá trị độc nhất: 16
Y2017:
['18,540.00', '4,869,842', '2,018.00', '203,133', '133,844', '179,987', '753,419', nan, '1,416,022', '1,749,085', '14.37', '4.94', '11.07', '3.70', '1,663,914', '2,997,628', '1,248,543']..., số giá trị độc nhất: 17
Y2018:
['18,910.00', '5,185,715', '2,339.00', '247,195', '159,483', '214,252', '841,111', nan, '1,709,061', '2,346,364', '10.26', '4.76', '12.22', '4.13', '2,198,562', '3,708,919', '1,362,556']..., số giá trị độc nhất: 17
Y2019:
['22,524.00', '4,855,806', '1,749.00', '247,075', '144,047', '208,570', '899,438', nan, '1,663,814', '2,396,983', '20.53', '3.45', '7.97', '4.30', '2,925,508', '4,649,385', '2,252,403']..., số giá trị độc nhất: 17
Y2020:
['23,230.00', '5,181,109', '657.00', '285,996', '65,722', '241,145', '905,904', nan, '1,968,472', '2,660,453', '57.82', '1.36', '2.87', '4.65', '2,861,063', '4,983,477', '2,323,023']..., số giá trị độc nhất: 17
Y2021:
['26,899.00', '6,290,385', '2,415.00', '397,489', '241,532', '317,712', '1,183,740', nan, '2,595,641', '3,566,051', '24.84', '4.30', '9.64', '5.05', '3,513,116', '6,255,925', '2,689,874']..., số giá trị độc nhất: 17
Y2022:
['20,736.00', '7,663,640', '2,680.00', '401,311', '310,517', '355,089', '1,440,837', nan, '2,931,044', '3,439,129', '14.93', '4.85', '10.68', '4.63', '3,535,833', '6,561,871', '3,122,743']..., số giá trị độc nhất: 17
Y2023:
['17,598.00', '7,341,773', '2,218.00', '455,908', '336,519', '401,878', '1,374,599', nan, '2,774,431', '3,509,625', '19.61', '5.02', '10.41', '5.47', '3,172,994', '6,853,773', '3,344,148']..., số giá trị độc nhất: 17
Các bản ghi bị trùng:
Indicator StockID Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023 
Accessing file: CMG_foreign_detail_transactions_processed.csv
CMG_foreign_detail_transactions_processed.csv
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value
0 CMG 12/03/2025 95,198,748 26,838,264 12.70 108,000 4,611 108,000 4,534 0 0 0 0 108,000 4,611 108,000 4,534
1 CMG 11/03/2025 95,198,748 26,941,402 12.75 105,800 4,561 48,976 2,098 0 0 0 0 105,800 4,561 48,976 2,098
2 CMG 10/03/2025 95,198,748 26,900,801 12.73 12,200 539 145,498 6,412 0 0 0 0 12,200 539 145,498 6,412
3 CMG 07/03/2025 95,198,748 26,907,081 12.73 9,200 409 4,862 215 0 0 0 0 9,200 409 4,862 215
4 CMG 06/03/2025 95,198,748 26,868,386 12.71 42,500 1,889 146,401 6,463 0 0 0 0 42,500 1,889 146,401 6,463
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value
245 CMG 18/03/2024 95,013,498 8,053,737 4.24 32,400 1,309 52,829 2,111 0 0 0 0 32,400 1,309 52,829 2,111
246 CMG 15/03/2024 95,013,498 8,081,037 4.25 10,600 432 48,900 1,985 0 0 0 0 10,600 432 48,900 1,985
247 CMG 14/03/2024 95,013,498 8,079,259 4.25 20,900 864 25,812 1,063 0 0 0 0 20,900 864 25,812 1,063
248 CMG 13/03/2024 95,013,498 8,085,921 4.26 103,900 4,346 5,100 213 0 0 0 0 103,900 4,346 5,100 213
249 CMG 12/03/2024 95,013,498 8,325,124 4.38 151,200 6,051 12,200 491 0 0 0 0 151,200 6,051 12,200 491 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 250 entries, 0 to 249
Data columns (total 17 columns):
 #   Column                  Non-Null Count  Dtype  
---  ------                  --------------  -----  
 0   StockID                 250 non-null    object 
 1   Date                    250 non-null    object 
 2   Foreign Investor Room   250 non-null    object 
 3   Remaining Room Shares   250 non-null    object 
 4   Remaining Room %        250 non-null    float64
 5   Matched Buy Volume      250 non-null    object 
 6   Matched Buy Value       250 non-null    object 
 7   Matched Sell Volume     250 non-null    object 
 8   Matched Sell Value      250 non-null    object 
 9   Negotiated Buy Volume   250 non-null    object 
 10  Negotiated Buy Value    250 non-null    object 
 11  Negotiated Sell Volume  250 non-null    object 
 12  Negotiated Sell Value   250 non-null    object 
 13  Total Buy Volume        250 non-null    object 
 14  Total Buy Value         250 non-null    object 
 15  Total Sell Volume       250 non-null    object 
 16  Total Sell Value        250 non-null    object 
dtypes: float64(1), object(16)
memory usage: 33.3+ KB
None
Số giá trị bị rỗng:
StockID                   0
Date                      0
Foreign Investor Room     0
Remaining Room Shares     0
Remaining Room %          0
Matched Buy Volume        0
Matched Buy Value         0
Matched Sell Volume       0
Matched Sell Value        0
Negotiated Buy Volume     0
Negotiated Buy Value      0
Negotiated Sell Volume    0
Negotiated Sell Value     0
Total Buy Volume          0
Total Buy Value           0
Total Sell Volume         0
Total Sell Value          0
dtype: int64
Thống kê các giá trị:
Remaining Room %
count 250.00
mean 8.05
std 3.70
min 2.78
25% 5.74
50% 6.84
75% 12.60
max 14.69 
StockID                     1
Date                      250
Foreign Investor Room       3
Remaining Room Shares     250
Remaining Room %          175
Matched Buy Volume        237
Matched Buy Value         243
Matched Sell Volume       244
Matched Sell Value        246
Negotiated Buy Volume      12
Negotiated Buy Value       14
Negotiated Sell Volume     15
Negotiated Sell Value      17
Total Buy Volume          239
Total Buy Value           244
Total Sell Volume         243
Total Sell Value          246
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['CMG']..., số giá trị độc nhất: 1
Date:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 250
Foreign Investor Room:
['95,198,748', '95,219,648', '95,013,498']..., số giá trị độc nhất: 3
Remaining Room Shares:
['26,838,264', '26,941,402', '26,900,801', '26,907,081', '26,868,386', '26,885,686', '26,989,563', '27,083,863', '27,022,100', '27,115,400', '26,979,300', '27,006,900', '26,984,300', '26,932,195', '26,982,232', '26,998,182', '27,273,382', '27,278,382', '27,299,882', '27,302,012']..., số giá trị độc nhất: 250
Remaining Room %:
[12.7, 12.75, 12.73, 12.71, 12.72, 12.77, 12.82, 12.79, 12.83, 12.78, 12.74, 12.91, 12.92, 12.95, 13.02, 13.04, 13.08, 13.18, 13.21, 13.2]..., số giá trị độc nhất: 175
Matched Buy Volume:
['108,000', '105,800', '12,200', '9,200', '42,500', '120,500', '94,800', '19,630', '107,800', '2,400', '45,700', '100', '7,300', '53,900', '39,400', '287,600', '5,000', '68,500', '41,230', '105,301']..., số giá trị độc nhất: 237
Matched Buy Value:
['4,611', '4,561', '539', '409', '1,889', '5,320', '4,173', '874', '4,787', '108', '2,042', '4', '324', '2,412', '1,781', '12,922', '223', '3,066', '1,862', '4,772']..., số giá trị độc nhất: 243
Matched Sell Volume:
['108,000', '48,976', '145,498', '4,862', '146,401', '5,920', '47,895', '25,200', '16,623', '500', '81,393', '14,500', '138,500', '18,100', '22,700', '59,405', '3,863', '23,450', '14,400', '0']..., số giá trị độc nhất: 244
Matched Sell Value:
['4,534', '2,098', '6,412', '215', '6,463', '260', '2,107', '1,122', '737', '22', '3,641', '644', '6,145', '810', '1,028', '2,648', '165', '1,049', '655', '0']..., số giá trị độc nhất: 246
Negotiated Buy Volume:
['0', '20,000', '150,000', '1,181,458', '1,101,500', '703,300', '976,600', '940,800', '604,600', '192,900', '25,000', '175,000']..., số giá trị độc nhất: 12
Negotiated Buy Value:
['0', '970', '7,935', '63,208', '60,252', '34,251', '50,002', '50,239', '34,583', '12,307', '1,500', '1,850', '1,605', '7,030']..., số giá trị độc nhất: 14
Negotiated Sell Volume:
['0', '39,000', '150,000', '37,800', '40,000', '20,000', '32,000', '1,181,458', '1,101,500', '60,000', '703,300', '976,600', '940,800', '604,600', '192,900']..., số giá trị độc nhất: 15
Negotiated Sell Value:
['0', '2,082', '7,935', '2,060', '2,278', '1,136', '8,100', '1,555', '63,208', '60,252', '3,056', '34,251', '50,002', '50,239', '34,583', '12,307', '2,420']..., số giá trị độc nhất: 17
Total Buy Volume:
['108,000', '105,800', '12,200', '9,200', '42,500', '120,500', '94,800', '19,630', '107,800', '2,400', '45,700', '100', '7,300', '53,900', '39,400', '287,600', '5,000', '68,500', '41,230', '105,301']..., số giá trị độc nhất: 239
Total Buy Value:
['4,611', '4,561', '539', '409', '1,889', '5,320', '4,173', '874', '4,787', '108', '2,042', '4', '324', '2,412', '1,781', '12,922', '223', '3,066', '1,862', '4,772']..., số giá trị độc nhất: 244
Total Sell Volume:
['108,000', '48,976', '145,498', '4,862', '146,401', '5,920', '47,895', '25,200', '16,623', '500', '81,393', '14,500', '138,500', '18,100', '22,700', '59,405', '3,863', '23,450', '14,400', '0']..., số giá trị độc nhất: 243
Total Sell Value:
['4,534', '2,098', '6,412', '215', '6,463', '260', '2,107', '1,122', '737', '22', '3,641', '644', '6,145', '810', '1,028', '2,648', '165', '1,049', '655', '0']..., số giá trị độc nhất: 246
Các bản ghi bị trùng:
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value 
Accessing file: CMG_full_period_trans_statistics_processed.csv
CMG_full_period_trans_statistics_processed.csv
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Tổng GT khớp CMG 1,207,592 986,365 16,938,199 2,110,272 92,929 763,605 135,339 3,037,050 189,744 2,909,998 152,213 888,563 90,039 856,580 31,715 281,090 365,129 34,904 760,356 33,888 2,540,542 46,655 3,102,379 87,668 1,782,234 146,572 1,021,462 115,904 497,231 102,762 523,342 2,110,272 115,447 6,403,277 350,144 3,300,927 418,012 6,710,653
1 Tổng KL khớp CMG 22,370,700 22,005,100 299,137,000 46,346,400 1,991,000 14,626,100 2,859,000 55,128,000 4,713,400 51,873,900 3,784,100 18,863,100 2,243,400 19,127,900 788,000 7,046,700 8,355,400 847,600 16,985,900 833,200 43,094,700 1,051,800 45,579,400 1,850,600 29,425,800 2,981,900 19,708,300 2,361,600 9,640,700 2,515,000 13,074,200 46,346,400 2,732,600 105,660,000 7,194,100 58,774,800 9,563,400 121,628,000
2 Tổng KL đặt bán CMG 41,931,100 47,230,800 530,922,500 90,323,800 4,497,400 33,170,400 5,660,000 100,333,300 7,895,000 102,566,800 7,843,400 32,796,000 4,564,700 39,612,600 2,619,300 15,639,600 17,915,200 2,782,400 28,837,000 2,049,800 70,046,500 2,447,300 72,896,200 3,739,900 40,864,700 5,007,800 32,084,700 4,658,800 22,075,200 8,492,400 28,047,700 90,323,800 7,279,500 171,779,700 13,406,500 95,024,600 18,052,400 236,070,500
3 Tổng KL đặt mua CMG 45,041,700 56,990,800 582,580,000 77,468,100 5,640,500 29,998,500 6,598,700 103,717,300 11,686,700 89,324,900 19,588,900 28,753,600 10,632,500 34,481,600 1,831,800 32,110,300 14,232,900 1,656,600 50,936,600 1,721,000 89,347,800 2,733,600 69,276,000 4,013,900 38,556,900 8,037,400 29,844,100 9,222,100 19,246,200 5,680,300 62,331,700 77,468,100 6,111,200 209,560,400 21,273,400 87,647,200 23,925,900 223,040,700
4 Tổng số phiên CMG 249 249 250 45 22 23 22 21 21 22 22 17 16 20 23 21 8 20 19 20 22 22 20 21 23 23 22 19 19 59 59 45 62 61 63 64 65 66
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Tổng GT khớp CMG 1,207,592 986,365 16,938,199 2,110,272 92,929 763,605 135,339 3,037,050 189,744 2,909,998 152,213 888,563 90,039 856,580 31,715 281,090 365,129 34,904 760,356 33,888 2,540,542 46,655 3,102,379 87,668 1,782,234 146,572 1,021,462 115,904 497,231 102,762 523,342 2,110,272 115,447 6,403,277 350,144 3,300,927 418,012 6,710,653
1 Tổng KL khớp CMG 22,370,700 22,005,100 299,137,000 46,346,400 1,991,000 14,626,100 2,859,000 55,128,000 4,713,400 51,873,900 3,784,100 18,863,100 2,243,400 19,127,900 788,000 7,046,700 8,355,400 847,600 16,985,900 833,200 43,094,700 1,051,800 45,579,400 1,850,600 29,425,800 2,981,900 19,708,300 2,361,600 9,640,700 2,515,000 13,074,200 46,346,400 2,732,600 105,660,000 7,194,100 58,774,800 9,563,400 121,628,000
2 Tổng KL đặt bán CMG 41,931,100 47,230,800 530,922,500 90,323,800 4,497,400 33,170,400 5,660,000 100,333,300 7,895,000 102,566,800 7,843,400 32,796,000 4,564,700 39,612,600 2,619,300 15,639,600 17,915,200 2,782,400 28,837,000 2,049,800 70,046,500 2,447,300 72,896,200 3,739,900 40,864,700 5,007,800 32,084,700 4,658,800 22,075,200 8,492,400 28,047,700 90,323,800 7,279,500 171,779,700 13,406,500 95,024,600 18,052,400 236,070,500
3 Tổng KL đặt mua CMG 45,041,700 56,990,800 582,580,000 77,468,100 5,640,500 29,998,500 6,598,700 103,717,300 11,686,700 89,324,900 19,588,900 28,753,600 10,632,500 34,481,600 1,831,800 32,110,300 14,232,900 1,656,600 50,936,600 1,721,000 89,347,800 2,733,600 69,276,000 4,013,900 38,556,900 8,037,400 29,844,100 9,222,100 19,246,200 5,680,300 62,331,700 77,468,100 6,111,200 209,560,400 21,273,400 87,647,200 23,925,900 223,040,700
4 Tổng số phiên CMG 249 249 250 45 22 23 22 21 21 22 22 17 16 20 23 21 8 20 19 20 22 22 20 21 23 23 22 19 19 59 59 45 62 61 63 64 65 66 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5 entries, 0 to 4
Data columns (total 40 columns):
 #   Column    Non-Null Count  Dtype 
---  ------    --------------  ----- 
 0   Metric    5 non-null      object
 1   StockID   5 non-null      object
 2   2022      5 non-null      object
 3   2023      5 non-null      object
 4   2024      5 non-null      object
 5   2025      5 non-null      object
 6   M10_2023  5 non-null      object
 7   M10_2024  5 non-null      object
 8   M11_2023  5 non-null      object
 9   M11_2024  5 non-null      object
 10  M12_2023  5 non-null      object
 11  M12_2024  5 non-null      object
 12  M1_2024   5 non-null      object
 13  M1_2025   5 non-null      object
 14  M2_2024   5 non-null      object
 15  M2_2025   5 non-null      object
 16  M3_2023   5 non-null      object
 17  M3_2024   5 non-null      object
 18  M3_2025   5 non-null      object
 19  M4_2023   5 non-null      object
 20  M4_2024   5 non-null      object
 21  M5_2023   5 non-null      object
 22  M5_2024   5 non-null      object
 23  M6_2023   5 non-null      object
 24  M6_2024   5 non-null      object
 25  M7_2023   5 non-null      object
 26  M7_2024   5 non-null      object
 27  M8_2023   5 non-null      object
 28  M8_2024   5 non-null      object
 29  M9_2023   5 non-null      object
 30  M9_2024   5 non-null      object
 31  Q1_2023   5 non-null      object
 32  Q1_2024   5 non-null      object
 33  Q1_2025   5 non-null      object
 34  Q2_2023   5 non-null      object
 35  Q2_2024   5 non-null      object
 36  Q3_2023   5 non-null      object
 37  Q3_2024   5 non-null      object
 38  Q4_2023   5 non-null      object
 39  Q4_2024   5 non-null      object
dtypes: object(40)
memory usage: 1.7+ KB
None
Số giá trị bị rỗng:
Metric      0
StockID     0
2022        0
2023        0
2024        0
2025        0
M10_2023    0
M10_2024    0
M11_2023    0
M11_2024    0
M12_2023    0
M12_2024    0
M1_2024     0
M1_2025     0
M2_2024     0
M2_2025     0
M3_2023     0
M3_2024     0
M3_2025     0
M4_2023     0
M4_2024     0
M5_2023     0
M5_2024     0
M6_2023     0
M6_2024     0
M7_2023     0
M7_2024     0
M8_2023     0
M8_2024     0
M9_2023     0
M9_2024     0
Q1_2023     0
Q1_2024     0
Q1_2025     0
Q2_2023     0
Q2_2024     0
Q3_2023     0
Q3_2024     0
Q4_2023     0
Q4_2024     0
dtype: int64
Thống kê các giá trị:
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
unique 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
top Tổng GT khớp CMG 1,207,592 986,365 16,938,199 2,110,272 92,929 763,605 135,339 3,037,050 189,744 2,909,998 152,213 888,563 90,039 856,580 31,715 281,090 365,129 34,904 760,356 33,888 2,540,542 46,655 3,102,379 87,668 1,782,234 146,572 1,021,462 115,904 497,231 102,762 523,342 2,110,272 115,447 6,403,277 350,144 3,300,927 418,012 6,710,653
freq 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
Metric      5
StockID     1
2022        5
2023        5
2024        5
2025        5
M10_2023    5
M10_2024    5
M11_2023    5
M11_2024    5
M12_2023    5
M12_2024    5
M1_2024     5
M1_2025     5
M2_2024     5
M2_2025     5
M3_2023     5
M3_2024     5
M3_2025     5
M4_2023     5
M4_2024     5
M5_2023     5
M5_2024     5
M6_2023     5
M6_2024     5
M7_2023     5
M7_2024     5
M8_2023     5
M8_2024     5
M9_2023     5
M9_2024     5
Q1_2023     5
Q1_2024     5
Q1_2025     5
Q2_2023     5
Q2_2024     5
Q3_2023     5
Q3_2024     5
Q4_2023     5
Q4_2024     5
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Metric:
['Tổng GT khớp', 'Tổng KL khớp', 'Tổng KL đặt bán', 'Tổng KL đặt mua', 'Tổng số phiên']..., số giá trị độc nhất: 5
StockID:
['CMG']..., số giá trị độc nhất: 1
2022:
['1,207,592', '22,370,700', '41,931,100', '45,041,700', '249']..., số giá trị độc nhất: 5
2023:
['986,365', '22,005,100', '47,230,800', '56,990,800', '249']..., số giá trị độc nhất: 5
2024:
['16,938,199', '299,137,000', '530,922,500', '582,580,000', '250']..., số giá trị độc nhất: 5
2025:
['2,110,272', '46,346,400', '90,323,800', '77,468,100', '45']..., số giá trị độc nhất: 5
M10_2023:
['92,929', '1,991,000', '4,497,400', '5,640,500', '22']..., số giá trị độc nhất: 5
M10_2024:
['763,605', '14,626,100', '33,170,400', '29,998,500', '23']..., số giá trị độc nhất: 5
M11_2023:
['135,339', '2,859,000', '5,660,000', '6,598,700', '22']..., số giá trị độc nhất: 5
M11_2024:
['3,037,050', '55,128,000', '100,333,300', '103,717,300', '21']..., số giá trị độc nhất: 5
M12_2023:
['189,744', '4,713,400', '7,895,000', '11,686,700', '21']..., số giá trị độc nhất: 5
M12_2024:
['2,909,998', '51,873,900', '102,566,800', '89,324,900', '22']..., số giá trị độc nhất: 5
M1_2024:
['152,213', '3,784,100', '7,843,400', '19,588,900', '22']..., số giá trị độc nhất: 5
M1_2025:
['888,563', '18,863,100', '32,796,000', '28,753,600', '17']..., số giá trị độc nhất: 5
M2_2024:
['90,039', '2,243,400', '4,564,700', '10,632,500', '16']..., số giá trị độc nhất: 5
M2_2025:
['856,580', '19,127,900', '39,612,600', '34,481,600', '20']..., số giá trị độc nhất: 5
M3_2023:
['31,715', '788,000', '2,619,300', '1,831,800', '23']..., số giá trị độc nhất: 5
M3_2024:
['281,090', '7,046,700', '15,639,600', '32,110,300', '21']..., số giá trị độc nhất: 5
M3_2025:
['365,129', '8,355,400', '17,915,200', '14,232,900', '8']..., số giá trị độc nhất: 5
M4_2023:
['34,904', '847,600', '2,782,400', '1,656,600', '20']..., số giá trị độc nhất: 5
M4_2024:
['760,356', '16,985,900', '28,837,000', '50,936,600', '19']..., số giá trị độc nhất: 5
M5_2023:
['33,888', '833,200', '2,049,800', '1,721,000', '20']..., số giá trị độc nhất: 5
M5_2024:
['2,540,542', '43,094,700', '70,046,500', '89,347,800', '22']..., số giá trị độc nhất: 5
M6_2023:
['46,655', '1,051,800', '2,447,300', '2,733,600', '22']..., số giá trị độc nhất: 5
M6_2024:
['3,102,379', '45,579,400', '72,896,200', '69,276,000', '20']..., số giá trị độc nhất: 5
M7_2023:
['87,668', '1,850,600', '3,739,900', '4,013,900', '21']..., số giá trị độc nhất: 5
M7_2024:
['1,782,234', '29,425,800', '40,864,700', '38,556,900', '23']..., số giá trị độc nhất: 5
M8_2023:
['146,572', '2,981,900', '5,007,800', '8,037,400', '23']..., số giá trị độc nhất: 5
M8_2024:
['1,021,462', '19,708,300', '32,084,700', '29,844,100', '22']..., số giá trị độc nhất: 5
M9_2023:
['115,904', '2,361,600', '4,658,800', '9,222,100', '19']..., số giá trị độc nhất: 5
M9_2024:
['497,231', '9,640,700', '22,075,200', '19,246,200', '19']..., số giá trị độc nhất: 5
Q1_2023:
['102,762', '2,515,000', '8,492,400', '5,680,300', '59']..., số giá trị độc nhất: 5
Q1_2024:
['523,342', '13,074,200', '28,047,700', '62,331,700', '59']..., số giá trị độc nhất: 5
Q1_2025:
['2,110,272', '46,346,400', '90,323,800', '77,468,100', '45']..., số giá trị độc nhất: 5
Q2_2023:
['115,447', '2,732,600', '7,279,500', '6,111,200', '62']..., số giá trị độc nhất: 5
Q2_2024:
['6,403,277', '105,660,000', '171,779,700', '209,560,400', '61']..., số giá trị độc nhất: 5
Q3_2023:
['350,144', '7,194,100', '13,406,500', '21,273,400', '63']..., số giá trị độc nhất: 5
Q3_2024:
['3,300,927', '58,774,800', '95,024,600', '87,647,200', '64']..., số giá trị độc nhất: 5
Q4_2023:
['418,012', '9,563,400', '18,052,400', '23,925,900', '65']..., số giá trị độc nhất: 5
Q4_2024:
['6,710,653', '121,628,000', '236,070,500', '223,040,700', '66']..., số giá trị độc nhất: 5
Các bản ghi bị trùng:
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: CMG_news_features.csv
CMG_news_features.csv
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
0 2023-03-14 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 78,000.00 1.00
1 2023-03-15 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -133,200.00 1.00
2 2023-03-16 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
3 2023-03-17 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
4 2023-03-18 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
710 2025-02-21 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
711 2025-02-22 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
712 2025-02-23 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
713 2025-02-24 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
714 2025-02-25 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 715 entries, 0 to 714
Data columns (total 13 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Unnamed: 0             715 non-null    object 
 1   news_count             715 non-null    float64
 2   news_avg_title_len     715 non-null    float64
 3   news_avg_summary_len   715 non-null    float64
 4   news_total_pos_kw      715 non-null    float64
 5   news_total_neg_kw      715 non-null    float64
 6   news_llm_sentiment     715 non-null    float64
 7   div_event_count        715 non-null    float64
 8   div_total_vnd          715 non-null    float64
 9   div_total_bonus_ratio  715 non-null    float64
 10  it_event_count         715 non-null    float64
 11  it_total_executed_vol  715 non-null    float64
 12  meeting_event_count    715 non-null    float64
dtypes: float64(12), object(1)
memory usage: 72.7+ KB
None
Số giá trị bị rỗng:
Unnamed: 0               0
news_count               0
news_avg_title_len       0
news_avg_summary_len     0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00
mean 1.00 116.31 1,552.63 0.00 0.00 0.00 1.75 224.06 13.77 1.16 -91,583.47 1.00
std 0.00 4.83 30.91 0.00 0.00 0.05 0.97 290.43 6.06 0.46 545,212.93 0.00
min 1.00 110.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00
25% 1.00 110.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00
50% 1.00 120.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00
75% 1.00 120.00 1,593.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00
max 1.00 120.00 1,593.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 
Unnamed: 0               715
news_count                 1
news_avg_title_len         2
news_avg_summary_len       2
news_total_pos_kw          1
news_total_neg_kw          1
news_llm_sentiment         2
div_event_count            2
div_total_vnd              2
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     24
meeting_event_count        1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Unnamed: 0:
['2023-03-14', '2023-03-15', '2023-03-16', '2023-03-17', '2023-03-18', '2023-03-19', '2023-03-20', '2023-03-21', '2023-03-22', '2023-03-23', '2023-03-24', '2023-03-25', '2023-03-26', '2023-03-27', '2023-03-28', '2023-03-29', '2023-03-30', '2023-03-31', '2023-04-01', '2023-04-02']..., số giá trị độc nhất: 715
news_count:
[1.0]..., số giá trị độc nhất: 1
news_avg_title_len:
[120.0, 110.0]..., số giá trị độc nhất: 2
news_avg_summary_len:
[1529.0, 1593.0]..., số giá trị độc nhất: 2
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count 
Accessing file: CMG_pricefluctuation_avgtransamount_processed.csv
CMG_pricefluctuation_avgtransamount_processed.csv
StockID Metric Value Section Title
0 CMG +/- Qua 1 tuần -3.98% Biến động giá giao dịch
1 CMG +/- Qua 1 tháng -6.84% Biến động giá giao dịch
2 CMG +/- Qua 1 quý -15.79% Biến động giá giao dịch
3 CMG +/- Qua 1 năm +15.53% Biến động giá giao dịch
4 CMG +/- Niêm yết +300.13% Biến động giá giao dịch
StockID Metric Value Section Title
14 CMG KLGD/Ngày (1 tháng) 936,880 Khối lượng giao dịch bình quân/ngày
15 CMG KLGD/Ngày (1 quý) 1,244,493 Khối lượng giao dịch bình quân/ngày
16 CMG KLGD/Ngày (1 năm) 1,352,776 Khối lượng giao dịch bình quân/ngày
17 CMG Nhiều nhất 52 tuần (11/11/2024)* 7,476,900 Khối lượng giao dịch bình quân/ngày
18 CMG Ít nhất 52 tuần (25/03/2024)* 111,800 Khối lượng giao dịch bình quân/ngày 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 19 entries, 0 to 18
Data columns (total 4 columns):
 #   Column         Non-Null Count  Dtype 
---  ------         --------------  ----- 
 0   StockID        19 non-null     object
 1   Metric         19 non-null     object
 2   Value          19 non-null     object
 3   Section Title  19 non-null     object
dtypes: object(4)
memory usage: 740.0+ bytes
None
Số giá trị bị rỗng:
StockID          0
Metric           0
Value            0
Section Title    0
dtype: int64
Thống kê các giá trị:
StockID Metric Value Section Title
count 19 19 19 19
unique 1 13 13 2
top CMG KLGD/Ngày (1 tuần) 1,194,180 Biến động giá giao dịch
freq 19 2 2 13 
StockID           1
Metric           13
Value            13
Section Title     2
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['CMG']..., số giá trị độc nhất: 1
Metric:
['+/- Qua 1 tuần', '+/- Qua 1 tháng', '+/- Qua 1 quý', '+/- Qua 1 năm', '+/- Niêm yết', 'Cao nhất 52 tuần (21/06/2024)*', 'Thấp nhất 52 tuần (25/03/2024)*', 'KLGD/Ngày (1 tuần)', 'KLGD/Ngày (1 tháng)', 'KLGD/Ngày (1 quý)', 'KLGD/Ngày (1 năm)', 'Nhiều nhất 52 tuần (11/11/2024)*', 'Ít nhất 52 tuần (25/03/2024)*']..., số giá trị độc nhất: 13
Value:
['-3.98%', '-6.84%', '-15.79%', '+15.53%', '+300.13%', '63,592', '35,399', '1,194,180', '936,880', '1,244,493', '1,352,776', '7,476,900', '111,800']..., số giá trị độc nhất: 13
Section Title:
['Biến động giá giao dịch', 'Khối lượng giao dịch bình quân/ngày']..., số giá trị độc nhất: 2
Các bản ghi bị trùng:
StockID Metric Value Section Title 
Accessing file: Dữ liệu Lịch sử CMG.csv
Dữ liệu Lịch sử CMG.csv
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
0 12/03/2025 42,250.0 43,100.0 43,350.0 42,250.0 1.81M -1.97%
1 11/03/2025 43,100.0 43,050.0 43,300.0 42,950.0 1.60M -1.93%
2 10/03/2025 43,950.0 44,500.0 44,500.0 43,900.0 910.00K -0.90%
3 07/03/2025 44,350.0 44,800.0 44,850.0 44,300.0 596.20K -0.56%
4 06/03/2025 44,600.0 44,150.0 44,800.0 44,000.0 1.05M 1.36%
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
539 09/01/2023 28,398.0 29,037.0 29,037.0 27,546.0 109.96K -2.32%
540 06/01/2023 29,073.0 29,463.0 29,463.0 28,185.0 55.89K -0.61%
541 05/01/2023 29,250.0 29,073.0 29,250.0 28,540.0 87.97K 0.24%
542 04/01/2023 29,179.0 29,783.0 29,783.0 27,404.0 57.01K -0.96%
543 03/01/2023 29,463.0 27,688.0 29,463.0 27,688.0 104.92K 3.75% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 544 entries, 0 to 543
Data columns (total 7 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   Ngày        544 non-null    object
 1   Lần cuối    544 non-null    object
 2   Mở          544 non-null    object
 3   Cao         544 non-null    object
 4   Thấp        544 non-null    object
 5   KL          544 non-null    object
 6   % Thay đổi  544 non-null    object
dtypes: object(7)
memory usage: 29.9+ KB
None
Số giá trị bị rỗng:
Ngày          0
Lần cuối      0
Mở            0
Cao           0
Thấp          0
KL            0
% Thay đổi    0
dtype: int64
Thống kê các giá trị:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
count 544 544 544 544 544 544 544
unique 544 324 320 298 303 498 325
top 12/03/2025 29,463.0 34,433.0 29,747.0 32,658.0 1.16M 0.00%
freq 1 7 8 9 10 4 35 
Ngày          544
Lần cuối      324
Mở            320
Cao           298
Thấp          303
KL            498
% Thay đổi    325
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngày:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 544
Lần cuối:
['42,250.0', '43,100.0', '43,950.0', '44,350.0', '44,600.0', '44,000.0', '44,150.0', '44,400.0', '44,450.0', '44,200.0', '44,700.0', '44,900.0', '45,250.0', '44,550.0', '45,000.0', '45,350.0', '44,650.0', '44,050.0', '44,950.0', '45,200.0']..., số giá trị độc nhất: 324
Mở:
['43,100.0', '43,050.0', '44,500.0', '44,800.0', '44,150.0', '44,400.0', '44,450.0', '44,900.0', '44,250.0', '44,300.0', '44,700.0', '45,000.0', '45,350.0', '44,650.0', '44,600.0', '45,600.0', '45,500.0', '44,950.0', '45,200.0', '46,000.0']..., số giá trị độc nhất: 320
Cao:
['43,350.0', '43,300.0', '44,500.0', '44,850.0', '44,800.0', '44,650.0', '44,250.0', '44,900.0', '45,000.0', '44,600.0', '44,700.0', '45,450.0', '45,300.0', '45,600.0', '45,500.0', '45,750.0', '44,950.0', '46,100.0', '46,000.0', '45,550.0']..., số giá trị độc nhất: 298
Thấp:
['42,250.0', '42,950.0', '43,900.0', '44,300.0', '44,000.0', '43,850.0', '44,250.0', '44,200.0', '44,550.0', '44,850.0', '44,500.0', '45,000.0', '44,800.0', '44,150.0', '44,050.0', '44,950.0', '45,350.0', '45,050.0', '46,900.0', '46,800.0']..., số giá trị độc nhất: 303
KL:
['1.81M', '1.60M', '910.00K', '596.20K', '1.05M', '644.90K', '1.09M', '646.40K', '793.90K', '526.30K', '952.60K', '939.90K', '1.67M', '880.00K', '676.70K', '1.06M', '590.50K', '917.40K', '811.20K', '564.50K']..., số giá trị độc nhất: 498
% Thay đổi:
['-1.97%', '-1.93%', '-0.90%', '-0.56%', '1.36%', '-0.34%', '-0.45%', '-0.11%', '0.90%', '0.11%', '-1.23%', '-0.77%', '1.46%', '-1.00%', '-0.55%', '-0.22%', '1.57%', '-2.00%', '-1.31%', '0.88%']..., số giá trị độc nhất: 325
Các bản ghi bị trùng:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi 
Accessing file: Dữ liệu Lịch sử FPT.csv
Dữ liệu Lịch sử FPT.csv
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
0 12/03/2025 135,900.0 137,700.0 138,700.0 135,900.0 6.19M -1.16%
1 11/03/2025 137,500.0 138,000.0 138,500.0 137,000.0 5.78M -1.29%
2 10/03/2025 139,300.0 141,500.0 141,500.0 139,200.0 5.32M -1.49%
3 07/03/2025 141,400.0 141,700.0 142,700.0 141,100.0 2.95M -0.14%
4 06/03/2025 141,600.0 139,500.0 143,500.0 139,500.0 6.42M 1.80%
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
539 09/01/2023 58,654.0 58,801.0 59,093.0 58,362.0 686.25K 0.00%
540 06/01/2023 58,654.0 58,728.0 59,239.0 58,581.0 951.41K -0.37%
541 05/01/2023 58,874.0 58,581.0 59,531.0 58,581.0 1.34M 0.75%
542 04/01/2023 58,435.0 59,020.0 59,166.0 57,924.0 1.05M 0.00%
543 03/01/2023 58,435.0 56,171.0 58,435.0 56,098.0 2.03M 4.03% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 544 entries, 0 to 543
Data columns (total 7 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   Ngày        544 non-null    object
 1   Lần cuối    544 non-null    object
 2   Mở          544 non-null    object
 3   Cao         544 non-null    object
 4   Thấp        544 non-null    object
 5   KL          544 non-null    object
 6   % Thay đổi  544 non-null    object
dtypes: object(7)
memory usage: 29.9+ KB
None
Số giá trị bị rỗng:
Ngày          0
Lần cuối      0
Mở            0
Cao           0
Thấp          0
KL            0
% Thay đổi    0
dtype: int64
Thống kê các giá trị:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
count 544 544 544 544 544 544 544
unique 544 368 361 368 365 386 293
top 12/03/2025 58,654.0 58,435.0 58,801.0 81,807.0 1.31M 0.00%
freq 1 7 6 6 6 4 29 
Ngày          544
Lần cuối      368
Mở            361
Cao           368
Thấp          365
KL            386
% Thay đổi    293
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngày:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 544
Lần cuối:
['135,900.0', '137,500.0', '139,300.0', '141,400.0', '141,600.0', '139,100.0', '140,000.0', '140,500.0', '140,300.0', '141,300.0', '141,800.0', '139,000.0', '142,000.0', '143,000.0', '144,000.0', '143,900.0', '143,600.0', '144,900.0', '143,100.0', '145,000.0']..., số giá trị độc nhất: 368
Mở:
['137,700.0', '138,000.0', '141,500.0', '141,700.0', '139,500.0', '140,000.0', '140,500.0', '140,100.0', '142,000.0', '139,100.0', '140,400.0', '142,800.0', '144,200.0', '143,900.0', '143,800.0', '145,000.0', '144,000.0', '145,600.0', '142,200.0', '145,500.0']..., số giá trị độc nhất: 361
Cao:
['138,700.0', '138,500.0', '141,500.0', '142,700.0', '143,500.0', '140,100.0', '140,600.0', '141,400.0', '141,100.0', '142,200.0', '141,800.0', '140,400.0', '142,000.0', '142,900.0', '144,600.0', '144,900.0', '144,400.0', '145,000.0', '145,700.0', '145,400.0']..., số giá trị độc nhất: 368
Thấp:
['135,900.0', '137,000.0', '139,200.0', '141,100.0', '139,500.0', '139,100.0', '139,300.0', '140,300.0', '139,000.0', '140,700.0', '138,900.0', '138,200.0', '141,500.0', '143,000.0', '143,100.0', '143,400.0', '143,600.0', '142,700.0', '144,300.0', '140,100.0']..., số giá trị độc nhất: 365
KL:
['6.19M', '5.78M', '5.32M', '2.95M', '6.42M', '2.85M', '3.47M', '2.53M', '4.69M', '3.42M', '3.32M', '6.81M', '7.50M', '5.31M', '3.39M', '3.03M', '1.66M', '2.47M', '3.25M', '1.89M']..., số giá trị độc nhất: 386
% Thay đổi:
['-1.16%', '-1.29%', '-1.49%', '-0.14%', '1.80%', '-0.64%', '-0.36%', '0.14%', '-0.71%', '-0.35%', '2.01%', '-1.07%', '-1.06%', '-0.70%', '-0.69%', '0.07%', '0.21%', '-0.90%', '1.26%', '-1.31%']..., số giá trị độc nhất: 293
Các bản ghi bị trùng:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi 
Accessing file: FPT_financial_data_processed.csv
FPT_financial_data_processed.csv
Indicator StockID Q1_2007 Q1_2008 Q1_2009 Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2007 Q2_2008 Q2_2009 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2007 Q3_2008 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2006 Q4_2007 Q4_2008 Q4_2009 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023 Y2024
0 BVPS cơ bản FPT 27,565.00 23,124.00 18,353.00 22,879.00 22,080.00 27,100.00 23,831.00 27,512.00 24,357.00 26,766.00 26,076.00 26,178.00 25,312.00 25,989.00 25,166.00 25,295.00 24,665.00 24,980.00 21,043.00 23,819.00 19,014.00 19,097.00 23,713.00 22,226.00 25,389.00 22,051.00 24,958.00 23,742.00 26,314.00 22,627.00 23,298.00 22,833.00 22,100.00 21,339.00 25,891.00 22,446.00 21,420.00 24,212.00 21,003.00 19,618.00 25,210.00 22,457.00 25,077.00 22,170.00 25,078.00 23,857.00 24,546.00 23,082.00 23,955.00 23,190.00 22,393.00 21,926.00 22,365.00 24,213.00 25,775.00 21,501.00 16,871.00 20,777.00 20,567.00 25,578.00 22,563.00 26,188.00 22,988.00 25,597.00 24,917.00 24,925.00 24,057.00 24,875.00 23,727.00 23,601.00 23,099.00 23,580.00 24,332.00 10,307.00 10,399.00 25,271.00 21,104.00 17,267.00 20,854.00 20,623.00 25,540.00 22,570.00 26,192.00 23,003.00 25,607.00 24,917.00 24,932.00 24,076.00 24,764.00 23,731.00 23,599.00 23,111.00 23,568.00 24,332.00
1 Doanh thu thuần FPT 5,663,585 8,403,531 7,438,682 8,017,530 10,199,095 8,937,352 8,611,039 10,867,322 14,713,020 8,466,518 9,418,120 4,750,769 5,666,480 6,630,565 7,586,328 9,730,254 11,681,379 14,092,928 6,070,562 8,830,457 8,799,390 10,723,958 9,329,772 9,666,613 9,336,562 10,685,411 11,744,376 8,958,526 9,946,703 5,474,263 6,825,919 6,980,002 8,641,707 10,096,060 12,484,364 15,245,226 6,238,109 7,464,328 8,377,067 12,602,884 10,140,718 9,869,741 12,000,599 13,477,215 9,527,464 9,755,288 10,831,198 6,036,059 7,104,374 7,553,129 8,725,172 11,148,559 13,761,745 15,902,822 7,142,553 9,376,397 9,113,084 14,983,873 10,198,524 13,832,026 10,020,775 11,283,427 15,333,191 10,449,043 12,399,573 12,495,737 6,952,447 8,120,188 8,666,705 10,704,056 13,042,426 14,690,413 17,607,818 8,734,781 14,100,792 21,399,752 13,498,891 16,381,840 18,404,026 20,017,304 25,370,247 24,594,304 27,027,889 32,644,656 37,959,699 39,531,469 42,658,611 23,213,537 27,716,960 29,830,401 35,657,263 44,009,528 52,617,901 62,848,794
2 EPS 4 quý FPT 6,305.00 8,883.00 7,793.00 7,930.00 7,039.00 8,464.00 6,054.00 5,910.00 5,145.00 4,840.00 3,734.00 5,890.00 4,561.00 4,870.00 4,798.00 5,271.00 5,258.00 5,541.00 9,451.00 8,149.00 7,293.00 8,982.00 6,733.00 8,224.00 5,853.00 5,800.00 5,001.00 3,815.00 4,475.00 5,788.00 4,727.00 4,839.00 4,820.00 5,385.00 5,289.00 5,618.00 9,444.00 8,464.00 8,098.00 7,995.00 7,913.00 6,795.00 5,774.00 5,647.00 4,827.00 3,852.00 4,537.00 5,818.00 4,971.00 4,612.00 4,873.00 5,456.00 5,362.00 5,652.00 3,755.00 9,313.00 8,366.00 7,468.00 7,473.00 8,472.00 6,318.00 5,858.00 5,241.00 5,213.00 3,704.00 5,895.00 4,509.00 4,797.00 4,743.00 5,059.00 4,805.00 5,476.00 5,697.00 6,058.00 5,125.00 7,407.00 9,457.00 8,342.00 7,479.00 7,482.00 8,440.00 6,318.00 5,858.00 5,210.00 5,208.00 4,641.00 5,904.00 4,518.00 4,797.00 4,744.00 5,065.00 5,252.00 5,471.00 5,698.00
3 LN thuần từ HĐKD FPT 162,197 287,888 380,665 420,106 474,631 559,792 551,903 566,863 628,941 554,781 629,911 771,386 937,234 1,127,536 1,380,037 1,772,701 2,096,933 2,515,527 268,288 327,591 377,964 588,259 648,888 593,236 675,880 628,384 711,604 673,288 779,117 879,552 1,164,536 1,268,043 1,523,660 1,836,170 2,189,766 2,635,781 116,782 197,335 484,837 422,730 624,351 524,003 546,819 590,933 621,827 749,014 882,252 1,057,301 1,347,403 1,369,402 1,583,036 1,993,658 2,438,361 2,948,226 243,988 350,400 415,499 356,012 424,497 661,051 626,200 676,635 612,410 843,492 986,046 1,922,130 1,086,435 1,135,575 1,423,198 1,739,746 1,978,262 2,386,698 2,922,047 191,748 334,892 494,859 953,099 1,190,746 1,594,487 1,876,684 2,420,008 2,318,205 2,451,237 2,401,010 2,801,769 2,964,201 4,219,952 3,799,831 4,609,873 5,190,654 6,228,494 7,589,290 9,111,746 11,026,253
4 LNST của CĐ cty mẹ FPT 155,047 186,105 219,520 290,085 296,626 340,630 358,323 374,602 424,661 345,690 412,900 509,014 626,304 747,105 906,143 1,238,880 1,493,563 1,798,031 210,922 201,584 231,859 388,100 415,457 412,341 444,786 427,586 456,633 114,187 511,686 594,282 791,704 878,711 1,000,031 1,250,820 1,509,220 1,873,815 87,812 120,469 322,160 281,037 513,326 338,402 330,590 389,098 389,064 467,811 582,641 724,918 960,108 928,888 1,124,839 1,453,716 1,739,340 2,088,852 228,362 272,507 330,496 288,213 303,828 462,746 448,954 474,010 450,529 676,200 661,138 1,419,645 786,460 757,234 982,844 1,301,522 1,351,601 1,728,400 2,086,993 174,818 280,483 450,436 737,469 836,271 1,063,349 1,264,506 1,681,818 1,540,327 1,607,708 1,632,085 1,930,896 1,990,643 2,931,531 2,620,179 3,135,350 3,538,008 4,337,412 5,310,109 6,465,190 7,849,035
Indicator StockID Q1_2007 Q1_2008 Q1_2009 Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2007 Q2_2008 Q2_2009 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2007 Q3_2008 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2006 Q4_2007 Q4_2008 Q4_2009 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023 Y2024
12 ROEA FPT 9.63 9.12 8.74 9.22 7.18 5.99 5.64 5.07 5.21 3.32 3.52 3.75 4.13 4.34 4.73 5.58 5.70 5.83 11.72 9.20 8.79 11.10 9.37 6.90 6.58 5.64 4.99 1.06 4.24 4.28 5.05 4.95 5.03 5.39 5.42 5.81 4.50 5.32 11.28 7.50 10.22 5.53 4.76 5.11 3.91 4.28 4.63 5.17 5.99 5.15 5.57 6.13 6.10 6.13 29.09 13.73 14.16 9.58 7.81 8.43 7.28 6.72 5.80 6.71 5.90 10.81 5.44 4.57 5.34 6.24 5.47 5.92 5.87 116.84 64.40 42.67 42.36 38.23 39.13 36.20 35.39 26.32 24.01 21.59 21.34 18.41 23.75 18.71 19.86 19.99 21.67 22.71 23.39 23.88
13 ROS FPT 3.17 2.93 4.26 4.79 4.08 5.15 5.51 4.55 3.72 5.27 5.74 13.74 14.01 14.13 15.17 15.81 15.49 15.33 4.23 3.09 3.58 4.71 5.93 5.48 6.26 5.22 5.03 7.03 6.74 13.87 14.45 15.53 14.58 15.47 14.86 14.98 2.06 2.36 4.85 2.96 5.32 4.58 3.88 3.74 5.45 6.84 6.87 14.75 16.32 15.21 15.75 15.75 15.08 15.59 3.36 3.34 3.96 2.45 4.20 4.19 5.43 4.80 3.48 7.47 6.71 12.54 13.33 11.97 14.45 14.57 12.42 13.96 14.16 2.00 2.14 2.50 6.52 6.42 7.64 8.45 8.20 8.07 7.64 6.37 6.42 6.52 8.27 13.93 14.11 14.83 15.00 14.75 14.80 14.99
14 Tài sản ngắn hạn FPT 2,947,791 5,220,523 4,530,553 7,660,727 9,283,952 10,656,599 9,906,638 12,668,500 16,319,851 17,461,659 20,264,901 15,891,378 16,918,516 19,577,485 27,905,525 36,617,351 29,524,493 37,679,149 3,422,271 5,108,073 4,905,576 8,459,817 9,018,714 10,787,561 11,274,078 12,729,372 16,240,765 17,801,377 20,220,920 16,757,931 17,849,605 20,974,738 30,007,117 37,159,706 38,758,397 40,823,156 3,154,149 4,812,220 5,811,411 9,004,707 10,607,052 11,037,975 11,269,784 14,847,358 16,827,486 18,913,792 21,767,021 17,461,655 18,431,910 22,473,334 30,655,506 35,269,475 39,531,943 42,605,106 3,072,816 4,366,815 4,743,460 8,103,156 8,829,078 11,410,324 10,282,181 12,954,621 16,961,911 19,209,380 22,082,043 16,053,004 18,373,436 19,038,081 25,608,346 35,116,784 30,933,925 36,709,543 45,475,496 1,495,173 2,020,707 3,074,380 4,342,622 4,658,263 7,678,505 8,839,022 11,372,728 10,229,470 12,908,243 16,964,333 18,959,009 21,908,663 16,059,938 18,406,087 18,979,176 25,612,490 35,118,373 30,937,711 36,705,752 45,475,496
15 Tổng tài sản FPT 3,308,996 6,451,497 5,966,095 10,423,086 12,710,742 14,272,591 14,059,015 17,446,248 22,206,060 24,695,453 28,003,927 25,010,920 28,748,321 34,416,669 44,474,278 55,601,299 50,741,161 62,024,705 3,868,744 6,481,234 6,407,989 11,481,762 12,446,982 14,404,612 15,523,397 17,766,402 22,581,606 25,344,505 28,045,804 26,286,146 30,375,757 35,912,809 46,980,501 56,295,551 60,556,686 65,321,968 3,784,711 6,200,412 7,465,571 12,268,263 14,130,608 14,692,014 15,709,061 19,945,743 23,677,162 26,397,928 29,693,707 28,080,869 32,276,824 37,757,457 48,244,878 55,127,102 62,112,676 67,581,587 3,407,866 5,346,280 6,145,766 10,644,732 12,502,219 15,024,909 14,270,464 17,617,926 22,659,686 25,983,205 29,912,454 25,025,223 29,725,930 33,658,743 41,749,437 53,696,644 51,655,409 60,325,276 72,013,238 1,583,705 2,219,477 3,409,220 5,356,052 6,124,834 10,395,415 12,304,544 14,943,087 14,209,183 17,570,557 22,658,344 26,045,589 29,833,262 24,999,677 29,757,067 33,394,164 41,734,323 53,697,941 51,650,404 60,282,828 72,013,238
16 Vốn chủ sở hữu FPT 1,678,956 2,138,347 2,590,779 3,293,524 4,274,842 5,858,498 6,528,838 7,574,003 8,380,860 10,643,071 11,980,477 13,899,836 15,532,763 17,630,689 19,730,300 22,959,402 27,061,179 31,727,101 1,919,409 2,245,553 2,686,794 3,697,738 4,590,719 6,089,283 6,989,818 7,587,818 9,924,212 10,910,393 12,150,226 13,885,569 15,805,436 17,903,726 20,057,528 23,411,673 28,595,184 32,784,240 1,980,926 2,282,579 3,023,642 3,798,459 5,450,140 6,152,706 6,904,109 7,628,831 9,972,171 10,963,289 13,033,786 14,164,809 16,251,130 18,181,401 20,324,133 24,055,768 28,405,656 35,364,184 1,570,106 1,988,409 2,384,335 2,991,146 3,982,083 5,529,647 6,181,640 7,209,656 7,909,990 10,178,237 11,448,011 13,234,938 14,762,809 16,874,812 18,602,713 21,420,177 25,342,981 29,948,355 35,796,626 299,240 571,886 1,539,496 1,942,232 2,433,247 3,002,251 3,983,401 5,521,005 6,181,762 7,208,665 7,913,345 10,182,286 11,448,075 13,238,376 14,774,971 16,799,289 18,605,667 21,417,985 25,356,125 29,933,011 35,796,626 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 17 entries, 0 to 16
Data columns (total 96 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  17 non-null     object
 1   StockID    17 non-null     object
 2   Q1_2007    17 non-null     object
 3   Q1_2008    17 non-null     object
 4   Q1_2009    17 non-null     object
 5   Q1_2010    17 non-null     object
 6   Q1_2011    17 non-null     object
 7   Q1_2012    17 non-null     object
 8   Q1_2013    17 non-null     object
 9   Q1_2014    17 non-null     object
 10  Q1_2015    17 non-null     object
 11  Q1_2016    16 non-null     object
 12  Q1_2017    16 non-null     object
 13  Q1_2018    16 non-null     object
 14  Q1_2019    16 non-null     object
 15  Q1_2020    16 non-null     object
 16  Q1_2021    16 non-null     object
 17  Q1_2022    16 non-null     object
 18  Q1_2023    16 non-null     object
 19  Q1_2024    16 non-null     object
 20  Q2_2007    17 non-null     object
 21  Q2_2008    17 non-null     object
 22  Q2_2009    17 non-null     object
 23  Q2_2010    17 non-null     object
 24  Q2_2011    17 non-null     object
 25  Q2_2012    17 non-null     object
 26  Q2_2013    17 non-null     object
 27  Q2_2014    17 non-null     object
 28  Q2_2015    16 non-null     object
 29  Q2_2016    16 non-null     object
 30  Q2_2017    16 non-null     object
 31  Q2_2018    16 non-null     object
 32  Q2_2019    16 non-null     object
 33  Q2_2020    16 non-null     object
 34  Q2_2021    16 non-null     object
 35  Q2_2022    16 non-null     object
 36  Q2_2023    16 non-null     object
 37  Q2_2024    16 non-null     object
 38  Q3_2007    17 non-null     object
 39  Q3_2008    17 non-null     object
 40  Q3_2009    17 non-null     object
 41  Q3_2010    17 non-null     object
 42  Q3_2011    17 non-null     object
 43  Q3_2012    17 non-null     object
 44  Q3_2013    17 non-null     object
 45  Q3_2014    17 non-null     object
 46  Q3_2015    16 non-null     object
 47  Q3_2016    16 non-null     object
 48  Q3_2017    16 non-null     object
 49  Q3_2018    16 non-null     object
 50  Q3_2019    16 non-null     object
 51  Q3_2020    16 non-null     object
 52  Q3_2021    16 non-null     object
 53  Q3_2022    16 non-null     object
 54  Q3_2023    16 non-null     object
 55  Q3_2024    16 non-null     object
 56  Q4_2006    17 non-null     object
 57  Q4_2007    17 non-null     object
 58  Q4_2008    17 non-null     object
 59  Q4_2009    17 non-null     object
 60  Q4_2010    17 non-null     object
 61  Q4_2011    17 non-null     object
 62  Q4_2012    17 non-null     object
 63  Q4_2013    17 non-null     object
 64  Q4_2014    17 non-null     object
 65  Q4_2015    16 non-null     object
 66  Q4_2016    16 non-null     object
 67  Q4_2017    16 non-null     object
 68  Q4_2018    16 non-null     object
 69  Q4_2019    16 non-null     object
 70  Q4_2020    16 non-null     object
 71  Q4_2021    16 non-null     object
 72  Q4_2022    16 non-null     object
 73  Q4_2023    16 non-null     object
 74  Q4_2024    16 non-null     object
 75  Y2004      17 non-null     object
 76  Y2005      17 non-null     object
 77  Y2006      17 non-null     object
 78  Y2007      17 non-null     object
 79  Y2008      17 non-null     object
 80  Y2009      17 non-null     object
 81  Y2010      17 non-null     object
 82  Y2011      17 non-null     object
 83  Y2012      17 non-null     object
 84  Y2013      17 non-null     object
 85  Y2014      17 non-null     object
 86  Y2015      16 non-null     object
 87  Y2016      16 non-null     object
 88  Y2017      16 non-null     object
 89  Y2018      16 non-null     object
 90  Y2019      16 non-null     object
 91  Y2020      16 non-null     object
 92  Y2021      16 non-null     object
 93  Y2022      16 non-null     object
 94  Y2023      16 non-null     object
 95  Y2024      16 non-null     object
dtypes: object(96)
memory usage: 12.9+ KB
None
Số giá trị bị rỗng:
Indicator    0
StockID      0
Q1_2007      0
Q1_2008      0
Q1_2009      0
Q1_2010      0
Q1_2011      0
Q1_2012      0
Q1_2013      0
Q1_2014      0
Q1_2015      0
Q1_2016      1
Q1_2017      1
Q1_2018      1
Q1_2019      1
Q1_2020      1
Q1_2021      1
Q1_2022      1
Q1_2023      1
Q1_2024      1
Q2_2007      0
Q2_2008      0
Q2_2009      0
Q2_2010      0
Q2_2011      0
Q2_2012      0
Q2_2013      0
Q2_2014      0
Q2_2015      1
Q2_2016      1
Q2_2017      1
Q2_2018      1
Q2_2019      1
Q2_2020      1
Q2_2021      1
Q2_2022      1
Q2_2023      1
Q2_2024      1
Q3_2007      0
Q3_2008      0
Q3_2009      0
Q3_2010      0
Q3_2011      0
Q3_2012      0
Q3_2013      0
Q3_2014      0
Q3_2015      1
Q3_2016      1
Q3_2017      1
Q3_2018      1
Q3_2019      1
Q3_2020      1
Q3_2021      1
Q3_2022      1
Q3_2023      1
Q3_2024      1
Q4_2006      0
Q4_2007      0
Q4_2008      0
Q4_2009      0
Q4_2010      0
Q4_2011      0
Q4_2012      0
Q4_2013      0
Q4_2014      0
Q4_2015      1
Q4_2016      1
Q4_2017      1
Q4_2018      1
Q4_2019      1
Q4_2020      1
Q4_2021      1
Q4_2022      1
Q4_2023      1
Q4_2024      1
Y2004        0
Y2005        0
Y2006        0
Y2007        0
Y2008        0
Y2009        0
Y2010        0
Y2011        0
Y2012        0
Y2013        0
Y2014        0
Y2015        1
Y2016        1
Y2017        1
Y2018        1
Y2019        1
Y2020        1
Y2021        1
Y2022        1
Y2023        1
Y2024        1
dtype: int64
Thống kê các giá trị:
Indicator StockID Q1_2007 Q1_2008 Q1_2009 Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2007 Q2_2008 Q2_2009 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2007 Q3_2008 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2006 Q4_2007 Q4_2008 Q4_2009 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023 Y2024
count 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16
unique 17 1 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16 15 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16 16
top BVPS cơ bản FPT 27,565.00 23,124.00 18,353.00 22,879.00 22,080.00 27,100.00 23,831.00 27,512.00 24,357.00 26,766.00 26,076.00 26,178.00 25,312.00 25,989.00 25,166.00 25,295.00 24,665.00 24,980.00 1,744,538 23,819.00 19,014.00 19,097.00 23,713.00 22,226.00 25,389.00 22,051.00 24,958.00 23,742.00 26,314.00 22,627.00 23,298.00 22,833.00 22,100.00 21,339.00 25,891.00 22,446.00 21,420.00 24,212.00 21,003.00 19,618.00 25,210.00 22,457.00 25,077.00 22,170.00 25,078.00 23,857.00 24,546.00 23,082.00 23,955.00 23,190.00 22,393.00 21,926.00 22,365.00 24,213.00 25,775.00 21,501.00 16,871.00 20,777.00 20,567.00 25,578.00 22,563.00 26,188.00 22,988.00 25,597.00 24,917.00 24,925.00 24,057.00 24,875.00 23,727.00 23,601.00 23,099.00 23,580.00 24,332.00 174,818 10,399.00 25,271.00 21,104.00 17,267.00 20,854.00 20,623.00 25,540.00 22,570.00 26,192.00 23,003.00 25,607.00 24,917.00 24,932.00 24,076.00 24,764.00 23,731.00 23,599.00 23,111.00 23,568.00 24,332.00
freq 1 17 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
Indicator    17
StockID       1
Q1_2007      17
Q1_2008      17
Q1_2009      17
Q1_2010      17
Q1_2011      17
Q1_2012      17
Q1_2013      17
Q1_2014      17
Q1_2015      17
Q1_2016      16
Q1_2017      16
Q1_2018      16
Q1_2019      16
Q1_2020      16
Q1_2021      16
Q1_2022      16
Q1_2023      16
Q1_2024      16
Q2_2007      16
Q2_2008      17
Q2_2009      17
Q2_2010      17
Q2_2011      17
Q2_2012      17
Q2_2013      17
Q2_2014      17
Q2_2015      16
Q2_2016      16
Q2_2017      16
Q2_2018      16
Q2_2019      16
Q2_2020      16
Q2_2021      16
Q2_2022      16
Q2_2023      16
Q2_2024      16
Q3_2007      17
Q3_2008      17
Q3_2009      17
Q3_2010      17
Q3_2011      17
Q3_2012      17
Q3_2013      17
Q3_2014      17
Q3_2015      16
Q3_2016      16
Q3_2017      16
Q3_2018      16
Q3_2019      16
Q3_2020      16
Q3_2021      16
Q3_2022      16
Q3_2023      16
Q3_2024      16
Q4_2006      17
Q4_2007      17
Q4_2008      17
Q4_2009      17
Q4_2010      17
Q4_2011      17
Q4_2012      17
Q4_2013      17
Q4_2014      17
Q4_2015      16
Q4_2016      16
Q4_2017      16
Q4_2018      16
Q4_2019      16
Q4_2020      16
Q4_2021      16
Q4_2022      16
Q4_2023      16
Q4_2024      16
Y2004        15
Y2005        17
Y2006        17
Y2007        17
Y2008        17
Y2009        17
Y2010        17
Y2011        17
Y2012        17
Y2013        17
Y2014        17
Y2015        16
Y2016        16
Y2017        16
Y2018        16
Y2019        16
Y2020        16
Y2021        16
Y2022        16
Y2023        16
Y2024        16
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['BVPS cơ bản', 'Doanh thu thuần', 'EPS 4 quý', 'LN thuần từ HĐKD', 'LNST của CĐ cty mẹ', 'LNST thu nhập DN', 'Lợi nhuận gộp', 'Lợi ích của CĐ thiểu số', 'Nợ ngắn hạn', 'Nợ phải trả', 'P/E cơ bản', 'ROAA', 'ROEA', 'ROS', 'Tài sản ngắn hạn', 'Tổng tài sản', 'Vốn chủ sở hữu']..., số giá trị độc nhất: 17
StockID:
['FPT']..., số giá trị độc nhất: 1
Q1_2007:
['27,565.00', '5,663,585', '6,305.00', '162,197', '155,047', '179,456', '402,931', '144,031', '1,371,071', '1,486,010', '85.80', '4.62', '9.63', '3.17', '2,947,791', '3,308,996', '1,678,956']..., số giá trị độc nhất: 17
Q1_2008:
['23,124.00', '8,403,531', '8,883.00', '287,888', '186,105', '246,359', '689,552', '417,693', '3,819,710', '3,895,456', '10.81', '3.15', '9.12', '2.93', '5,220,523', '6,451,497', '2,138,347']..., số giá trị độc nhất: 17
Q1_2009:
['18,353.00', '7,438,682', '7,793.00', '380,665', '219,520', '317,120', '875,967', '615,002', '2,595,308', '2,760,314', '5.76', '3.63', '8.74', '4.26', '4,530,553', '5,966,095', '2,590,779']..., số giá trị độc nhất: 17
Q1_2010:
['22,879.00', '8,017,530', '7,930.00', '420,106', '290,085', '384,409', '1,009,266', '804,729', '4,409,645', '6,324,833', '10.53', '2.79', '9.22', '4.79', '7,660,727', '10,423,086', '3,293,524']..., số giá trị độc nhất: 17
Q1_2011:
['22,080.00', '10,199,095', '7,039.00', '474,631', '296,626', '416,327', '1,160,830', '1,178,587', '5,164,567', '7,257,314', '7.25', '2.37', '7.18', '4.08', '9,283,952', '12,710,742', '4,274,842']..., số giá trị độc nhất: 17
Q1_2012:
['27,100.00', '8,937,352', '8,464.00', '559,792', '340,630', '460,417', '1,117,342', '898,748', '7,257,525', '7,515,345', '6.85', '2.33', '5.99', '5.15', '10,656,599', '14,272,591', '5,858,498']..., số giá trị độc nhất: 17
Q1_2013:
['23,831.00', '8,611,039', '6,054.00', '551,903', '358,323', '474,681', '1,193,176', '1,006,179', '6,285,133', '6,523,998', '6.24', '2.54', '5.64', '5.51', '9,906,638', '14,059,015', '6,528,838']..., số giá trị độc nhất: 17
Q1_2014:
['27,512.00', '10,867,322', '5,910.00', '566,863', '374,602', '494,038', '1,345,059', '1,162,126', '8,412,879', '8,710,120', '11.84', '2.14', '5.07', '4.55', '12,668,500', '17,446,248', '7,574,003']..., số giá trị độc nhất: 17
Q1_2015:
['24,357.00', '14,713,020', '5,145.00', '628,941', '424,661', '547,349', '1,689,718', '1,462,632', '11,843,484', '12,362,568', '9.41', '1.89', '5.21', '3.72', '16,319,851', '22,206,060', '8,380,860']..., số giá trị độc nhất: 17
Q1_2016:
['26,766.00', '8,466,518', '4,840.00', '554,781', '345,690', '446,509', '1,686,151', nan, '12,948,093', '14,052,383', '9.73', '1.36', '3.32', '5.27', '17,461,659', '24,695,453', '10,643,071']..., số giá trị độc nhất: 17
Q1_2017:
['26,076.00', '9,418,120', '3,734.00', '629,911', '412,900', '540,340', '2,075,513', nan, '14,835,526', '16,023,450', '12.67', '1.43', '3.52', '5.74', '20,264,901', '28,003,927', '11,980,477']..., số giá trị độc nhất: 17
Q1_2018:
['26,178.00', '4,750,769', '5,890.00', '771,386', '509,014', '652,768', '1,855,560', nan, '10,523,958', '11,111,084', '10.31', '2.04', '3.75', '13.74', '15,891,378', '25,010,920', '13,899,836']..., số giá trị độc nhất: 17
Q1_2019:
['25,312.00', '5,666,480', '4,561.00', '937,234', '626,304', '793,923', '2,279,330', nan, '12,709,176', '13,215,558', '9.98', '2.14', '4.13', '14.01', '16,918,516', '28,748,321', '15,532,763']..., số giá trị độc nhất: 17
Q1_2020:
['25,989.00', '6,630,565', '4,870.00', '1,127,536', '747,105', '936,963', '2,624,378', nan, '15,838,155', '16,785,979', '8.44', '2.20', '4.34', '14.13', '19,577,485', '34,416,669', '17,630,689']..., số giá trị độc nhất: 17
Q1_2021:
['25,166.00', '7,586,328', '4,798.00', '1,380,037', '906,143', '1,150,703', '2,894,527', nan, '22,968,033', '24,743,978', '16.19', '2.10', '4.73', '15.17', '27,905,525', '44,474,278', '19,730,300']..., số giá trị độc nhất: 17
Q1_2022:
['25,295.00', '9,730,254', '5,271.00', '1,772,701', '1,238,880', '1,538,558', '3,953,321', nan, '30,137,625', '32,641,898', '20.30', '2.27', '5.58', '15.81', '36,617,351', '55,601,299', '22,959,402']..., số giá trị độc nhất: 17
Q1_2023:
['24,665.00', '11,681,379', '5,258.00', '2,096,933', '1,493,563', '1,809,799', '4,567,879', nan, '23,043,505', '23,679,982', '15.04', '2.92', '5.70', '15.49', '29,524,493', '50,741,161', '27,061,179']..., số giá trị độc nhất: 17
Q1_2024:
['24,980.00', '14,092,928', '5,541.00', '2,515,527', '1,798,031', '2,160,265', '5,510,466', nan, '29,033,183', '30,297,604', '21.02', '2.94', '5.83', '15.33', '37,679,149', '62,024,705', '31,727,101']..., số giá trị độc nhất: 17
Q2_2007:
['21,043.00', '6,070,562', '9,451.00', '268,288', '210,922', '256,617', '561,246', '204,797', '1,744,538', '32.48', '5.88', '11.72', '4.23', '3,422,271', '3,868,744', '1,919,409']..., số giá trị độc nhất: 16
Q2_2008:
['23,819.00', '8,830,457', '8,149.00', '327,591', '201,584', '272,587', '961,511', '485,932', '3,672,149', '3,749,750', '6.14', '3.12', '9.20', '3.09', '5,108,073', '6,481,234', '2,245,553']..., số giá trị độc nhất: 17
Q2_2009:
['19,014.00', '8,799,390', '7,293.00', '377,964', '231,859', '314,615', '935,528', '645,584', '3,065,105', '3,075,612', '9.60', '3.75', '8.79', '3.58', '4,905,576', '6,407,989', '2,686,794']..., số giá trị độc nhất: 17
Q2_2010:
['19,097.00', '10,723,958', '8,982.00', '588,259', '388,100', '505,273', '1,192,998', '878,059', '4,852,129', '6,905,965', '7.68', '3.54', '11.10', '4.71', '8,459,817', '11,481,762', '3,697,738']..., số giá trị độc nhất: 17
Q2_2011:
['23,713.00', '9,329,772', '6,733.00', '648,888', '415,457', '553,046', '1,290,943', '1,238,066', '4,691,588', '6,618,198', '7.13', '3.30', '9.37', '5.93', '9,018,714', '12,446,982', '4,590,719']..., số giá trị độc nhất: 17
Q2_2012:
['22,226.00', '9,666,613', '8,224.00', '593,236', '412,341', '529,497', '1,243,845', '976,138', '7,065,492', '7,339,191', '5.73', '2.88', '6.90', '5.48', '10,787,561', '14,404,612', '6,089,283']..., số giá trị độc nhất: 17
Q2_2013:
['25,389.00', '9,336,562', '5,853.00', '675,880', '444,786', '584,299', '1,365,206', '1,105,489', '7,169,969', '7,428,091', '7.14', '3.01', '6.58', '6.26', '11,274,078', '15,523,397', '6,989,818']..., số giá trị độc nhất: 17
Q2_2014:
['22,051.00', '10,685,411', '5,800.00', '628,384', '427,586', '557,458', '1,554,004', '1,293,380', '8,600,724', '8,885,205', '8.03', '2.43', '5.64', '5.22', '12,729,372', '17,766,402', '7,587,818']..., số giá trị độc nhất: 17
Q2_2015:
['24,958.00', '11,744,376', '5,001.00', '711,604', '456,633', '590,509', '1,801,913', nan, '12,339,406', '12,657,394', '9.28', '2.04', '4.99', '5.03', '16,240,765', '22,581,606', '9,924,212']..., số giá trị độc nhất: 17
Q2_2016:
['23,742.00', '8,958,526', '3,815.00', '673,288', '114,187', '629,353', '1,933,550', nan, '13,305,700', '14,434,112', '10.96', '0.46', '1.06', '7.03', '17,801,377', '25,344,505', '10,910,393']..., số giá trị độc nhất: 17
Q2_2017:
['26,314.00', '9,946,703', '4,475.00', '779,117', '511,686', '670,457', '2,431,580', nan, '14,738,302', '15,895,578', '10.47', '1.83', '4.24', '6.74', '20,220,920', '28,045,804', '12,150,226']..., số giá trị độc nhất: 17
Q2_2018:
['22,627.00', '5,474,263', '5,788.00', '879,552', '594,282', '759,029', '2,000,673', nan, '11,901,668', '12,400,576', '7.17', '2.32', '4.28', '13.87', '16,757,931', '26,286,146', '13,885,569']..., số giá trị độc nhất: 17
Q2_2019:
['23,298.00', '6,825,919', '4,727.00', '1,164,536', '791,704', '986,167', '2,578,130', nan, '14,116,094', '14,570,321', '9.63', '2.68', '5.05', '14.45', '17,849,605', '30,375,757', '15,805,436']..., số giá trị độc nhất: 17
Q2_2020:
['22,833.00', '6,980,002', '4,839.00', '1,268,043', '878,711', '1,084,222', '2,721,755', nan, '16,991,795', '18,009,083', '9.43', '2.50', '4.95', '15.53', '20,974,738', '35,912,809', '17,903,726']..., số giá trị độc nhất: 17
Q2_2021:
['22,100.00', '8,641,707', '4,820.00', '1,523,660', '1,000,031', '1,259,666', '3,460,389', nan, '24,989,658', '26,922,973', '18.26', '2.19', '5.03', '14.58', '30,007,117', '46,980,501', '20,057,528']..., số giá trị độc nhất: 17
Q2_2022:
['21,339.00', '10,096,060', '5,385.00', '1,836,170', '1,250,820', '1,561,574', '4,015,103', nan, '30,416,062', '32,883,878', '16.01', '2.24', '5.39', '15.47', '37,159,706', '56,295,551', '23,411,673']..., số giá trị độc nhất: 17
Q2_2023:
['25,891.00', '12,484,364', '5,289.00', '2,189,766', '1,509,220', '1,855,582', '4,633,824', nan, '31,322,666', '31,961,502', '16.26', '2.71', '5.42', '14.86', '38,758,397', '60,556,686', '28,595,184']..., số giá trị độc nhất: 17
Q2_2024:
['22,446.00', '15,245,226', '5,618.00', '2,635,781', '1,873,815', '2,283,041', '5,651,357', nan, '31,341,216', '32,537,727', '23.23', '2.94', '5.81', '14.98', '40,823,156', '65,321,968', '32,784,240']..., số giá trị độc nhất: 17
Q3_2007:
['21,420.00', '6,238,109', '9,444.00', '116,782', '87,812', '128,385', '480,384', '283,776', '1,388,572', '1,520,008', '28.91', '2.29', '4.50', '2.06', '3,154,149', '3,784,711', '1,980,926']..., số giá trị độc nhất: 17
Q3_2008:
['24,212.00', '7,464,328', '8,464.00', '197,335', '120,469', '175,795', '720,966', '536,991', '3,306,146', '3,380,842', '10.81', '1.90', '5.32', '2.36', '4,812,220', '6,200,412', '2,282,579']..., số giá trị độc nhất: 17
Q3_2009:
['21,003.00', '8,377,067', '8,098.00', '484,837', '322,160', '405,963', '1,050,196', '768,550', '3,658,224', '3,673,379', '10.68', '4.64', '11.28', '4.85', '5,811,411', '7,465,571', '3,023,642']..., số giá trị độc nhất: 17
Q3_2010:
['19,618.00', '12,602,884', '7,995.00', '422,730', '281,037', '372,831', '1,127,905', '1,055,005', '5,525,345', '7,414,799', '8.88', '2.37', '7.50', '2.96', '9,004,707', '12,268,263', '3,798,459']..., số giá trị độc nhất: 17
Q3_2011:
['25,210.00', '10,140,718', '7,913.00', '624,351', '513,326', '539,533', '1,244,222', '880,169', '5,828,271', '7,800,299', '6.51', '3.86', '10.22', '5.32', '10,607,052', '14,130,608', '5,450,140']..., số giá trị độc nhất: 17
Q3_2012:
['22,457.00', '9,869,741', '6,795.00', '524,003', '338,402', '451,930', '1,135,529', '1,018,413', '7,219,370', '7,520,895', '5.58', '2.33', '5.53', '4.58', '11,037,975', '14,692,014', '6,152,706']..., số giá trị độc nhất: 17
Q3_2013:
['25,077.00', '12,000,599', '5,774.00', '546,819', '330,590', '465,109', '1,346,075', '1,144,833', '7,378,687', '7,660,120', '7.81', '2.12', '4.76', '3.88', '11,269,784', '15,709,061', '6,904,109']..., số giá trị độc nhất: 17
Q3_2014:
['22,170.00', '13,477,215', '5,647.00', '590,933', '389,098', '503,722', '1,606,661', '1,329,051', '10,670,684', '10,987,860', '9.21', '2.06', '5.11', '3.74', '14,847,358', '19,945,743', '7,628,831']..., số giá trị độc nhất: 17
Q3_2015:
['25,078.00', '9,527,464', '4,827.00', '621,827', '389,064', '519,226', '1,914,597', nan, '13,006,055', '13,704,991', '9.22', '1.68', '3.91', '5.45', '16,827,486', '23,677,162', '9,972,171']..., số giá trị độc nhất: 17
Q3_2016:
['23,857.00', '9,755,288', '3,852.00', '749,014', '467,811', '667,466', '2,216,581', nan, '14,346,985', '15,434,639', '12.11', '1.81', '4.28', '6.84', '18,913,792', '26,397,928', '10,963,289']..., số giá trị độc nhất: 17
Q3_2017:
['24,546.00', '10,831,198', '4,537.00', '882,252', '582,641', '744,031', '2,415,837', nan, '15,768,900', '16,659,921', '10.75', '2.02', '4.63', '6.87', '21,767,021', '29,693,707', '13,033,786']..., số giá trị độc nhất: 17
Q3_2018:
['23,082.00', '6,036,059', '5,818.00', '1,057,301', '724,918', '890,264', '2,295,670', nan, '13,360,082', '13,916,060', '7.96', '2.67', '5.17', '14.75', '17,461,655', '28,080,869', '14,164,809']..., số giá trị độc nhất: 17
Q3_2019:
['23,955.00', '7,104,374', '4,971.00', '1,347,403', '960,108', '1,159,712', '2,782,725', nan, '15,404,438', '16,025,694', '11.61', '3.06', '5.99', '16.32', '18,431,910', '32,276,824', '16,251,130']..., số giá trị độc nhất: 17
Q3_2020:
['23,190.00', '7,553,129', '4,612.00', '1,369,402', '928,888', '1,148,631', '2,998,778', nan, '18,551,812', '19,576,056', '10.84', '2.52', '5.15', '15.21', '22,473,334', '37,757,457', '18,181,401']..., số giá trị độc nhất: 17
Q3_2021:
['22,393.00', '8,725,172', '4,873.00', '1,583,036', '1,124,839', '1,374,615', '3,250,929', nan, '25,891,182', '27,920,745', '19.09', '2.36', '5.57', '15.75', '30,655,506', '48,244,878', '20,324,133']..., số giá trị độc nhất: 17
Q3_2022:
['21,926.00', '11,148,559', '5,456.00', '1,993,658', '1,453,716', '1,755,997', '4,359,486', nan, '28,697,861', '31,071,333', '14.76', '2.61', '6.13', '15.75', '35,269,475', '55,127,102', '24,055,768']..., số giá trị độc nhất: 17
Q3_2023:
['22,365.00', '13,761,745', '5,362.00', '2,438,361', '1,739,340', '2,075,869', '5,496,369', nan, '33,050,415', '33,707,021', '17.31', '2.84', '6.10', '15.08', '39,531,943', '62,112,676', '28,405,656']..., số giá trị độc nhất: 17
Q3_2024:
['24,213.00', '15,902,822', '5,652.00', '2,948,226', '2,088,852', '2,478,598', '6,158,956', nan, '30,969,637', '32,217,403', '23.80', '3.14', '6.13', '15.59', '42,605,106', '67,581,587', '35,364,184']..., số giá trị độc nhất: 17
Q4_2006:
['25,775.00', '7,142,553', '3,755.00', '243,988', '228,362', '240,015', '614,657', '123,254', '1,588,332', '1,714,506', '122.49', '13.40', '29.09', '3.36', '3,072,816', '3,407,866', '1,570,106']..., số giá trị độc nhất: 17
Q4_2007:
['21,501.00', '9,376,397', '9,313.00', '350,400', '272,507', '312,744', '895,754', '289,096', '3,002,230', '3,068,775', '23.94', '5.97', '13.73', '3.34', '4,366,815', '5,346,280', '1,988,409']..., số giá trị độc nhất: 17
Q4_2008:
['16,871.00', '9,113,084', '8,366.00', '415,499', '330,496', '360,779', '1,016,029', '525,896', '3,226,761', '3,235,536', '5.98', '5.35', '14.16', '3.96', '4,743,460', '6,145,766', '2,384,335']..., số giá trị độc nhất: 17
Q4_2009:
['20,777.00', '14,983,873', '7,468.00', '356,012', '288,213', '366,566', '1,371,888', '746,890', '4,878,984', '6,906,696', '10.58', '3.18', '9.58', '2.45', '8,103,156', '10,644,732', '2,991,146']..., số giá trị độc nhất: 17
Q4_2010:
['20,567.00', '10,198,524', '7,473.00', '424,497', '303,828', '428,709', '1,296,960', '1,094,659', '5,538,445', '7,425,477', '8.63', '2.45', '7.81', '4.20', '8,829,078', '12,502,219', '3,982,083']..., số giá trị độc nhất: 17
Q4_2011:
['25,578.00', '13,832,026', '8,472.00', '661,051', '462,746', '579,689', '1,653,487', '966,533', '8,296,037', '8,528,729', '5.87', '3.17', '8.43', '4.19', '11,410,324', '15,024,909', '5,529,647']..., số giá trị độc nhất: 17
Q4_2012:
['22,563.00', '10,020,775', '6,318.00', '626,200', '448,954', '544,581', '1,511,131', '894,299', '6,899,105', '7,194,525', '5.57', '3.10', '7.28', '5.43', '10,282,181', '14,270,464', '6,181,640']..., số giá trị độc nhất: 17
Q4_2013:
['26,188.00', '11,283,427', '5,858.00', '676,635', '474,010', '541,224', '1,638,114', '1,045,192', '9,075,739', '9,363,078', '8.04', '2.84', '6.72', '4.80', '12,954,621', '17,617,926', '7,209,656']..., số giá trị độc nhất: 17
Q4_2014:
['22,988.00', '15,333,191', '5,241.00', '612,410', '450,529', '533,636', '1,768,216', '1,344,474', '13,062,886', '13,405,222', '9.16', '2.11', '5.80', '3.48', '16,961,911', '22,659,686', '7,909,990']..., số giá trị độc nhất: 17
Q4_2015:
['25,597.00', '10,449,043', '5,213.00', '843,492', '676,200', '794,563', '2,158,681', nan, '14,804,951', '15,804,968', '9.26', '2.72', '6.71', '7.47', '19,209,380', '25,983,205', '10,178,237']..., số giá trị độc nhất: 17
Q4_2016:
['24,917.00', '12,399,573', '3,704.00', '986,046', '661,138', '831,527', '2,787,128', nan, '17,471,940', '18,464,444', '11.88', '2.35', '5.90', '6.71', '22,082,043', '29,912,454', '11,448,011']..., số giá trị độc nhất: 17
Q4_2017:
['24,925.00', '12,495,737', '5,895.00', '1,922,130', '1,419,645', '1,567,244', '2,850,422', nan, '11,129,329', '11,790,285', '9.69', '5.19', '10.81', '12.54', '16,053,004', '25,025,223', '13,234,938']..., số giá trị độc nhất: 17
Q4_2018:
['24,057.00', '6,952,447', '4,509.00', '1,086,435', '786,460', '926,432', '2,571,211', nan, '14,432,175', '14,963,121', '9.36', '2.72', '5.44', '13.33', '18,373,436', '29,725,930', '14,762,809']..., số giá trị độc nhất: 17
Q4_2019:
['24,875.00', '8,120,188', '4,797.00', '1,135,575', '757,234', '971,910', '3,071,028', nan, '16,291,313', '16,783,931', '12.15', '2.30', '4.57', '11.97', '19,038,081', '33,658,743', '16,874,812']..., số giá trị độc nhất: 17
Q4_2020:
['23,727.00', '8,666,705', '4,743.00', '1,423,198', '982,844', '1,252,589', '3,470,921', nan, '22,382,165', '23,146,724', '12.46', '2.47', '5.34', '14.45', '25,608,346', '41,749,437', '18,602,713']..., số giá trị độc nhất: 17
Q4_2021:
['23,601.00', '10,704,056', '5,059.00', '1,739,746', '1,301,522', '1,559,815', '4,094,368', nan, '29,811,587', '32,276,467', '18.38', '2.55', '6.24', '14.57', '35,116,784', '53,696,644', '21,420,177']..., số giá trị độc nhất: 17
Q4_2022:
['23,099.00', '13,042,426', '4,805.00', '1,978,262', '1,351,601', '1,619,892', '5,241,274', nan, '24,534,231', '26,312,428', '14.68', '2.53', '5.47', '12.42', '30,933,925', '51,655,409', '25,342,981']..., số giá trị độc nhất: 17
Q4_2023:
['23,580.00', '14,690,413', '5,476.00', '2,386,698', '1,728,400', '2,051,241', '5,631,864', nan, '29,667,280', '30,376,921', '17.55', '2.82', '5.92', '13.96', '36,709,543', '60,325,276', '29,948,355']..., số giá trị độc nhất: 17
Q4_2024:
['24,332.00', '17,607,818', '5,697.00', '2,922,047', '2,086,993', '2,493,502', '6,478,973', nan, '34,780,312', '36,216,612', '26.77', '2.99', '5.87', '14.16', '45,475,496', '72,013,238', '35,796,626']..., số giá trị độc nhất: 17
Y2004:
['10,307.00', '8,734,781', '6,058.00', '191,748', '174,818', '538,150', '0', '1,110,867', '1,284,465', '22.08', '116.84', '2.00', '1,495,173', '1,583,705', '299,240']..., số giá trị độc nhất: 15
Y2005:
['10,399.00', '14,100,792', '5,125.00', '334,892', '280,483', '301,378', '921,148', '39,644', '1,483,024', '1,607,947', '0', '14.75', '64.40', '2.14', '2,020,707', '2,219,477', '571,886']..., số giá trị độc nhất: 17
Y2006:
['25,271.00', '21,399,752', '7,407.00', '494,859', '450,436', '535,612', '1,351,233', '123,189', '1,620,360', '1,746,534', '62.10', '16.00', '42.67', '2.50', '3,074,380', '3,409,220', '1,539,496']..., số giá trị độc nhất: 17
Y2007:
['21,104.00', '13,498,891', '9,457.00', '953,099', '737,469', '880,271', '1,961,448', '282,606', '3,064,669', '3,131,215', '23.58', '16.83', '42.36', '6.52', '4,342,622', '5,356,052', '1,942,232']..., số giá trị độc nhất: 17
Y2008:
['17,267.00', '16,381,840', '8,342.00', '1,190,746', '836,271', '1,051,047', '2,978,436', '526,235', '3,160,423', '3,165,352', '5.99', '14.57', '38.23', '6.42', '4,658,263', '6,124,834', '2,433,247']..., số giá trị độc nhất: 17
Y2009:
['20,854.00', '18,404,026', '7,479.00', '1,594,487', '1,063,349', '1,405,874', '3,685,353', '715,672', '4,765,833', '6,677,493', '10.56', '12.87', '39.13', '7.64', '7,678,505', '10,395,415', '3,002,251']..., số giá trị độc nhất: 17
Y2010:
['20,623.00', '20,017,304', '7,482.00', '1,876,684', '1,264,506', '1,691,757', '3,988,493', '1,065,631', '5,439,122', '7,255,513', '8.62', '11.14', '36.20', '8.45', '8,839,022', '12,304,544', '3,983,401']..., số giá trị độc nhất: 17
Y2011:
['25,540.00', '25,370,247', '8,440.00', '2,420,008', '1,681,818', '2,079,148', '4,958,148', '704,807', '8,475,465', '8,717,275', '5.89', '12.34', '35.39', '8.20', '11,372,728', '14,943,087', '5,521,005']..., số giá trị độc nhất: 17
Y2012:
['22,570.00', '24,594,304', '6,318.00', '2,318,205', '1,540,327', '1,985,487', '4,692,145', '912,500', '6,819,506', '7,114,921', '5.57', '10.57', '26.32', '8.07', '10,229,470', '14,209,183', '6,181,762']..., số giá trị độc nhất: 17
Y2013:
['26,192.00', '27,027,889', '5,858.00', '2,451,237', '1,607,708', '2,065,313', '5,539,153', '1,045,192', '9,068,740', '9,316,700', '8.04', '10.12', '24.01', '7.64', '12,908,243', '17,570,557', '7,208,665']..., số giá trị độc nhất: 17
Y2014:
['23,003.00', '32,644,656', '5,210.00', '2,401,010', '1,632,085', '2,079,125', '6,273,460', '1,344,474', '13,056,523', '13,400,525', '9.20', '8.11', '21.59', '6.37', '16,964,333', '22,658,344', '7,913,345']..., số giá trị độc nhất: 17
Y2015:
['25,607.00', '37,959,699', '5,208.00', '2,801,769', '1,930,896', '2,438,085', '7,493,820', nan, '14,967,554', '15,863,303', '9.27', '7.93', '21.34', '6.42', '18,959,009', '26,045,589', '10,182,286']..., số giá trị độc nhất: 17
Y2016:
['24,917.00', '39,531,469', '4,641.00', '2,964,201', '1,990,643', '2,575,691', '8,438,135', nan, '17,429,656', '18,385,187', '9.48', '7.12', '18.41', '6.52', '21,908,663', '29,833,262', '11,448,075']..., số giá trị độc nhất: 17
Y2017:
['24,932.00', '42,658,611', '5,904.00', '4,219,952', '2,931,531', '3,528,114', '9,682,405', nan, '11,100,345', '11,761,301', '9.67', '10.69', '23.75', '8.27', '16,059,938', '24,999,677', '13,238,376']..., số giá trị độc nhất: 17
Y2018:
['24,076.00', '23,213,537', '4,518.00', '3,799,831', '2,620,179', '3,233,997', '8,722,879', nan, '14,451,150', '14,982,096', '9.34', '9.57', '18.71', '13.93', '18,406,087', '29,757,067', '14,774,971']..., số giá trị độc nhất: 17
Y2019:
['24,764.00', '27,716,960', '4,797.00', '4,609,873', '3,135,350', '3,911,712', '10,712,050', nan, '16,102,257', '16,594,875', '12.15', '9.93', '19.86', '14.11', '18,979,176', '33,394,164', '16,799,289']..., số giá trị độc nhất: 17
Y2020:
['23,731.00', '29,830,401', '4,744.00', '5,190,654', '3,538,008', '4,423,745', '11,813,657', nan, '22,364,711', '23,128,656', '12.44', '9.42', '19.99', '14.83', '25,612,490', '41,734,323', '18,605,667']..., số giá trị độc nhất: 17
Y2021:
['23,599.00', '35,657,263', '5,065.00', '6,228,494', '4,337,412', '5,349,301', '13,631,964', nan, '29,761,106', '32,279,956', '18.36', '9.09', '21.67', '15.00', '35,118,373', '53,697,941', '21,417,985']..., số giá trị độc nhất: 17
Y2022:
['23,111.00', '44,009,528', '5,252.00', '7,589,290', '5,310,109', '6,491,343', '17,167,279', nan, '24,521,162', '26,294,279', '14.64', '10.08', '22.71', '14.75', '30,937,711', '51,650,404', '25,356,125']..., số giá trị độc nhất: 17
Y2023:
['23,568.00', '52,617,901', '5,471.00', '9,111,746', '6,465,190', '7,788,050', '20,319,553', nan, '29,651,674', '30,349,816', '17.56', '11.55', '23.39', '14.80', '36,705,752', '60,282,828', '29,933,011']..., số giá trị độc nhất: 17
Y2024:
['24,332.00', '62,848,794', '5,698.00', '11,026,253', '7,849,035', '9,420,079', '23,799,752', nan, '34,780,312', '36,216,612', '26.76', '11.87', '23.88', '14.99', '45,475,496', '72,013,238', '35,796,626']..., số giá trị độc nhất: 17
Các bản ghi bị trùng:
Indicator StockID Q1_2007 Q1_2008 Q1_2009 Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q2_2007 Q2_2008 Q2_2009 Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q3_2007 Q3_2008 Q3_2009 Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q4_2006 Q4_2007 Q4_2008 Q4_2009 Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Y2004 Y2005 Y2006 Y2007 Y2008 Y2009 Y2010 Y2011 Y2012 Y2013 Y2014 Y2015 Y2016 Y2017 Y2018 Y2019 Y2020 Y2021 Y2022 Y2023 Y2024 
Accessing file: FPT_foreign_detail_transactions_processed.csv
FPT_foreign_detail_transactions_processed.csv
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value
0 FPT 12/03/2025 720,823,899 69,107,399 4.70 545,200 74,590 2,706,300 369,670 100,000 13,660 100,000 13,660 645,200 88,251 2,806,300 383,330
1 FPT 11/03/2025 720,823,899 67,582,207 4.59 1,411,550 194,553 1,978,820 272,010 380,000 52,351 380,000 52,351 1,791,550 246,904 2,358,820 324,361
2 FPT 10/03/2025 720,823,899 66,589,517 4.53 1,525,876 213,768 2,671,316 372,406 193,900 27,147 193,900 27,147 1,719,776 240,915 2,865,216 399,553
3 FPT 07/03/2025 720,823,899 67,355,093 4.58 788,743 111,749 1,525,192 215,676 441,500 62,437 441,500 62,437 1,230,243 174,185 1,966,692 278,113
4 FPT 06/03/2025 720,823,899 66,916,990 4.55 2,079,519 293,500 2,420,240 342,230 94,300 13,339 94,300 13,339 2,173,819 306,839 2,514,540 355,569
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value
245 FPT 18/03/2024 622,284,748 0 0.00 100 12 0 0 1,811,900 224,857 1,811,900 224,857 1,812,000 224,868 1,811,900 224,857
246 FPT 15/03/2024 622,284,748 0 0.00 53 0 7,000 637 851,700 106,548 851,700 106,548 851,753 106,548 858,700 107,184
247 FPT 14/03/2024 622,284,748 0 0.00 5,400 640 6,408 750 2,552,400 319,305 2,552,400 319,305 2,557,800 319,945 2,558,808 320,055
248 FPT 13/03/2024 622,284,748 0 0.00 3,900 440 100 12 970,500 116,169 970,500 116,169 974,400 116,609 970,600 116,180
249 FPT 12/03/2024 622,284,748 0 0.00 0 0 0 0 220,000 25,894 220,000 25,894 220,000 25,894 220,000 25,894 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 250 entries, 0 to 249
Data columns (total 17 columns):
 #   Column                  Non-Null Count  Dtype  
---  ------                  --------------  -----  
 0   StockID                 250 non-null    object 
 1   Date                    250 non-null    object 
 2   Foreign Investor Room   250 non-null    object 
 3   Remaining Room Shares   250 non-null    object 
 4   Remaining Room %        250 non-null    float64
 5   Matched Buy Volume      250 non-null    object 
 6   Matched Buy Value       250 non-null    object 
 7   Matched Sell Volume     250 non-null    object 
 8   Matched Sell Value      250 non-null    object 
 9   Negotiated Buy Volume   250 non-null    object 
 10  Negotiated Buy Value    250 non-null    object 
 11  Negotiated Sell Volume  250 non-null    object 
 12  Negotiated Sell Value   250 non-null    object 
 13  Total Buy Volume        250 non-null    object 
 14  Total Buy Value         250 non-null    object 
 15  Total Sell Volume       250 non-null    object 
 16  Total Sell Value        250 non-null    object 
dtypes: float64(1), object(16)
memory usage: 33.3+ KB
None
Số giá trị bị rỗng:
StockID                   0
Date                      0
Foreign Investor Room     0
Remaining Room Shares     0
Remaining Room %          0
Matched Buy Volume        0
Matched Buy Value         0
Matched Sell Volume       0
Matched Sell Value        0
Negotiated Buy Volume     0
Negotiated Buy Value      0
Negotiated Sell Volume    0
Negotiated Sell Value     0
Total Buy Volume          0
Total Buy Value           0
Total Sell Volume         0
Total Sell Value          0
dtype: int64
Thống kê các giá trị:
Remaining Room %
count 250.00
mean 2.42
std 1.54
min 0.00
25% 0.49
50% 2.79
75% 3.66
max 4.70 
StockID                     1
Date                      250
Foreign Investor Room       3
Remaining Room Shares     203
Remaining Room %          129
Matched Buy Volume        222
Matched Buy Value         222
Matched Sell Volume       234
Matched Sell Value        233
Negotiated Buy Volume     122
Negotiated Buy Value      146
Negotiated Sell Volume    125
Negotiated Sell Value     152
Total Buy Volume          249
Total Buy Value           248
Total Sell Volume         249
Total Sell Value          249
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['FPT']..., số giá trị độc nhất: 1
Date:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 250
Foreign Investor Room:
['720,823,899', '715,619,552', '622,284,748']..., số giá trị độc nhất: 3
Remaining Room Shares:
['69,107,399', '67,582,207', '66,589,517', '67,355,093', '66,916,990', '67,518,253', '66,100,985', '66,096,965', '66,050,204', '64,762,406', '63,241,179', '61,855,637', '62,361,682', '62,914,196', '63,757,444', '62,990,964', '63,528,198', '63,640,328', '63,612,958', '62,892,705']..., số giá trị độc nhất: 203
Remaining Room %:
[4.7, 4.59, 4.53, 4.58, 4.55, 4.49, 4.4, 4.3, 4.2, 4.24, 4.28, 4.33, 4.32, 4.17, 4.08, 4.14, 4.09, 3.78, 3.84, 3.86]..., số giá trị độc nhất: 129
Matched Buy Volume:
['545,200', '1,411,550', '1,525,876', '788,743', '2,079,519', '610,237', '1,336,310', '959,931', '1,664,962', '1,519,120', '917,414', '1,784,354', '1,290,243', '1,271,718', '269,700', '1,097,434', '762,219', '590,430', '1,378,977', '503,244']..., số giá trị độc nhất: 222
Matched Buy Value:
['74,590', '194,553', '213,768', '111,749', '293,500', '85,198', '186,988', '135,061', '232,570', '214,414', '128,892', '247,873', '181,334', '180,492', '38,643', '157,727', '109,615', '84,919', '199,368', '72,249']..., số giá trị độc nhất: 222
Matched Sell Volume:
['2,706,300', '1,978,820', '2,671,316', '1,525,192', '2,420,240', '776,300', '1,242,846', '1,478,256', '2,059,505', '1,440,330', '1,006,692', '3,167,760', '3,072,347', '2,313,956', '1,310,309', '749,729', '460,470', '1,083,180', '542,200', '712,089']..., số giá trị độc nhất: 234
Matched Sell Value:
['369,670', '272,010', '372,406', '215,676', '342,230', '108,315', '173,449', '207,971', '287,613', '203,218', '140,924', '438,526', '430,990', '328,420', '187,857', '107,572', '66,175', '155,232', '78,401', '102,280']..., số giá trị độc nhất: 233
Negotiated Buy Volume:
['100,000', '380,000', '193,900', '441,500', '94,300', '0', '400,000', '1,456,800', '500,000', '500,100', '353,000', '420,000', '397,300', '115,500', '151,300', '345,500', '288,700', '170,900', '78,300', '1,667,900']..., số giá trị độc nhất: 122
Negotiated Buy Value:
['13,660', '52,351', '27,147', '62,437', '13,339', '0', '55,973', '56,278', '203,538', '70,621', '70,271', '49,043', '60,321', '56,816', '73,025', '61,343', '16,979', '23,292', '51,871', '42,188']..., số giá trị độc nhất: 146
Negotiated Sell Volume:
['100,000', '380,000', '193,900', '441,500', '94,300', '0', '300,000', '400,000', '1,256,800', '500,000', '500,100', '353,000', '440,000', '397,300', '420,000', '115,500', '151,300', '345,500', '288,700', '170,900']..., số giá trị độc nhất: 125
Negotiated Sell Value:
['13,660', '52,351', '27,147', '62,437', '13,339', '0', '41,980', '56,278', '175,591', '70,621', '70,271', '49,043', '63,192', '56,816', '73,025', '61,343', '16,979', '23,292', '51,871', '14,824']..., số giá trị độc nhất: 152
Total Buy Volume:
['645,200', '1,791,550', '1,719,776', '1,230,243', '2,173,819', '610,237', '1,736,310', '1,359,931', '3,121,762', '2,019,120', '1,417,514', '2,137,354', '1,290,243', '1,271,718', '269,700', '1,517,434', '762,219', '590,430', '1,378,977', '900,544']..., số giá trị độc nhất: 249
Total Buy Value:
['88,251', '246,904', '240,915', '174,185', '306,839', '85,198', '242,961', '191,340', '436,108', '285,035', '199,163', '296,916', '181,334', '180,492', '38,643', '218,047', '109,615', '84,919', '199,368', '129,065']..., số giá trị độc nhất: 248
Total Sell Volume:
['2,806,300', '2,358,820', '2,865,216', '1,966,692', '2,514,540', '776,300', '1,542,846', '1,878,256', '3,316,305', '1,940,330', '1,506,792', '3,520,760', '3,072,347', '2,313,956', '1,310,309', '1,189,729', '460,470', '1,083,180', '542,200', '1,109,389']..., số giá trị độc nhất: 249
Total Sell Value:
['383,330', '324,361', '399,553', '278,113', '355,569', '108,315', '215,429', '264,249', '463,205', '273,839', '211,195', '487,569', '430,990', '328,420', '187,857', '170,764', '66,175', '155,232', '78,401', '159,096']..., số giá trị độc nhất: 249
Các bản ghi bị trùng:
StockID Date Foreign Investor Room Remaining Room Shares Remaining Room % Matched Buy Volume Matched Buy Value Matched Sell Volume Matched Sell Value Negotiated Buy Volume Negotiated Buy Value Negotiated Sell Volume Negotiated Sell Value Total Buy Volume Total Buy Value Total Sell Volume Total Sell Value 
Accessing file: FPT_full_period_trans_statistics_processed.csv
FPT_full_period_trans_statistics_processed.csv
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Tổng GT khớp FPT 40,127,592 32,903,598 129,164,565 26,888,006 5,411,519 9,384,944 4,255,216 13,050,959 4,154,163 12,658,417 3,147,106 8,534,914 5,008,978 13,399,266 1,195,077 7,784,914 4,953,826 883,407 6,978,395 1,351,987 11,581,548 1,645,410 20,390,648 2,164,749 17,425,878 3,961,773 12,332,109 5,289,450 9,420,669 3,785,924 15,940,998 26,888,006 3,880,804 38,950,591 11,415,972 39,178,656 13,820,898 35,094,320
1 Tổng KL khớp FPT 433,450,400 370,659,600 1,000,508,500 186,016,800 58,518,600 68,748,900 46,990,600 96,216,400 43,649,700 85,416,000 32,827,500 57,077,300 48,078,100 93,419,200 15,125,900 68,853,100 35,520,300 11,100,100 60,367,000 16,543,100 87,243,800 19,334,200 152,347,900 27,230,100 132,559,000 45,397,500 96,911,000 54,966,700 70,939,800 46,929,000 149,758,700 186,016,800 46,977,400 299,958,700 127,594,300 300,409,800 149,158,900 250,381,300
2 Tổng KL đặt bán FPT 777,756,500 709,579,200 1,577,738,200 294,590,800 107,180,800 120,487,000 98,432,100 170,419,800 90,358,800 142,458,200 67,408,700 86,906,100 71,546,400 148,910,100 29,082,600 121,896,600 58,774,600 22,548,500 102,734,100 33,994,100 150,777,000 41,383,200 211,010,300 49,137,000 161,618,900 78,526,200 135,081,700 99,121,200 122,299,500 88,897,300 260,851,700 294,590,800 97,925,800 464,521,400 226,784,400 419,000,100 295,971,700 433,365,000
3 Tổng KL đặt mua FPT 718,646,200 709,645,600 1,570,432,300 314,773,800 107,632,100 117,352,300 93,097,900 160,185,700 79,352,200 142,597,200 62,587,800 88,070,200 67,035,400 161,785,900 35,898,200 126,321,700 64,917,700 25,723,000 121,793,000 39,736,600 154,735,700 37,411,700 215,201,000 44,333,500 173,092,300 88,139,200 119,291,500 97,965,500 110,238,700 96,253,900 255,944,900 314,773,800 102,871,300 491,729,700 230,438,200 402,622,500 280,082,200 420,135,200
4 Tổng số phiên FPT 249 249 250 45 22 23 22 21 21 22 22 17 16 20 23 21 8 20 19 20 22 22 20 21 23 23 22 19 19 59 59 45 62 61 63 64 65 66
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Tổng GT khớp FPT 40,127,592 32,903,598 129,164,565 26,888,006 5,411,519 9,384,944 4,255,216 13,050,959 4,154,163 12,658,417 3,147,106 8,534,914 5,008,978 13,399,266 1,195,077 7,784,914 4,953,826 883,407 6,978,395 1,351,987 11,581,548 1,645,410 20,390,648 2,164,749 17,425,878 3,961,773 12,332,109 5,289,450 9,420,669 3,785,924 15,940,998 26,888,006 3,880,804 38,950,591 11,415,972 39,178,656 13,820,898 35,094,320
1 Tổng KL khớp FPT 433,450,400 370,659,600 1,000,508,500 186,016,800 58,518,600 68,748,900 46,990,600 96,216,400 43,649,700 85,416,000 32,827,500 57,077,300 48,078,100 93,419,200 15,125,900 68,853,100 35,520,300 11,100,100 60,367,000 16,543,100 87,243,800 19,334,200 152,347,900 27,230,100 132,559,000 45,397,500 96,911,000 54,966,700 70,939,800 46,929,000 149,758,700 186,016,800 46,977,400 299,958,700 127,594,300 300,409,800 149,158,900 250,381,300
2 Tổng KL đặt bán FPT 777,756,500 709,579,200 1,577,738,200 294,590,800 107,180,800 120,487,000 98,432,100 170,419,800 90,358,800 142,458,200 67,408,700 86,906,100 71,546,400 148,910,100 29,082,600 121,896,600 58,774,600 22,548,500 102,734,100 33,994,100 150,777,000 41,383,200 211,010,300 49,137,000 161,618,900 78,526,200 135,081,700 99,121,200 122,299,500 88,897,300 260,851,700 294,590,800 97,925,800 464,521,400 226,784,400 419,000,100 295,971,700 433,365,000
3 Tổng KL đặt mua FPT 718,646,200 709,645,600 1,570,432,300 314,773,800 107,632,100 117,352,300 93,097,900 160,185,700 79,352,200 142,597,200 62,587,800 88,070,200 67,035,400 161,785,900 35,898,200 126,321,700 64,917,700 25,723,000 121,793,000 39,736,600 154,735,700 37,411,700 215,201,000 44,333,500 173,092,300 88,139,200 119,291,500 97,965,500 110,238,700 96,253,900 255,944,900 314,773,800 102,871,300 491,729,700 230,438,200 402,622,500 280,082,200 420,135,200
4 Tổng số phiên FPT 249 249 250 45 22 23 22 21 21 22 22 17 16 20 23 21 8 20 19 20 22 22 20 21 23 23 22 19 19 59 59 45 62 61 63 64 65 66 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5 entries, 0 to 4
Data columns (total 40 columns):
 #   Column    Non-Null Count  Dtype 
---  ------    --------------  ----- 
 0   Metric    5 non-null      object
 1   StockID   5 non-null      object
 2   2022      5 non-null      object
 3   2023      5 non-null      object
 4   2024      5 non-null      object
 5   2025      5 non-null      object
 6   M10_2023  5 non-null      object
 7   M10_2024  5 non-null      object
 8   M11_2023  5 non-null      object
 9   M11_2024  5 non-null      object
 10  M12_2023  5 non-null      object
 11  M12_2024  5 non-null      object
 12  M1_2024   5 non-null      object
 13  M1_2025   5 non-null      object
 14  M2_2024   5 non-null      object
 15  M2_2025   5 non-null      object
 16  M3_2023   5 non-null      object
 17  M3_2024   5 non-null      object
 18  M3_2025   5 non-null      object
 19  M4_2023   5 non-null      object
 20  M4_2024   5 non-null      object
 21  M5_2023   5 non-null      object
 22  M5_2024   5 non-null      object
 23  M6_2023   5 non-null      object
 24  M6_2024   5 non-null      object
 25  M7_2023   5 non-null      object
 26  M7_2024   5 non-null      object
 27  M8_2023   5 non-null      object
 28  M8_2024   5 non-null      object
 29  M9_2023   5 non-null      object
 30  M9_2024   5 non-null      object
 31  Q1_2023   5 non-null      object
 32  Q1_2024   5 non-null      object
 33  Q1_2025   5 non-null      object
 34  Q2_2023   5 non-null      object
 35  Q2_2024   5 non-null      object
 36  Q3_2023   5 non-null      object
 37  Q3_2024   5 non-null      object
 38  Q4_2023   5 non-null      object
 39  Q4_2024   5 non-null      object
dtypes: object(40)
memory usage: 1.7+ KB
None
Số giá trị bị rỗng:
Metric      0
StockID     0
2022        0
2023        0
2024        0
2025        0
M10_2023    0
M10_2024    0
M11_2023    0
M11_2024    0
M12_2023    0
M12_2024    0
M1_2024     0
M1_2025     0
M2_2024     0
M2_2025     0
M3_2023     0
M3_2024     0
M3_2025     0
M4_2023     0
M4_2024     0
M5_2023     0
M5_2024     0
M6_2023     0
M6_2024     0
M7_2023     0
M7_2024     0
M8_2023     0
M8_2024     0
M9_2023     0
M9_2024     0
Q1_2023     0
Q1_2024     0
Q1_2025     0
Q2_2023     0
Q2_2024     0
Q3_2023     0
Q3_2024     0
Q4_2023     0
Q4_2024     0
dtype: int64
Thống kê các giá trị:
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
unique 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
top Tổng GT khớp FPT 40,127,592 32,903,598 129,164,565 26,888,006 5,411,519 9,384,944 4,255,216 13,050,959 4,154,163 12,658,417 3,147,106 8,534,914 5,008,978 13,399,266 1,195,077 7,784,914 4,953,826 883,407 6,978,395 1,351,987 11,581,548 1,645,410 20,390,648 2,164,749 17,425,878 3,961,773 12,332,109 5,289,450 9,420,669 3,785,924 15,940,998 26,888,006 3,880,804 38,950,591 11,415,972 39,178,656 13,820,898 35,094,320
freq 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
Metric      5
StockID     1
2022        5
2023        5
2024        5
2025        5
M10_2023    5
M10_2024    5
M11_2023    5
M11_2024    5
M12_2023    5
M12_2024    5
M1_2024     5
M1_2025     5
M2_2024     5
M2_2025     5
M3_2023     5
M3_2024     5
M3_2025     5
M4_2023     5
M4_2024     5
M5_2023     5
M5_2024     5
M6_2023     5
M6_2024     5
M7_2023     5
M7_2024     5
M8_2023     5
M8_2024     5
M9_2023     5
M9_2024     5
Q1_2023     5
Q1_2024     5
Q1_2025     5
Q2_2023     5
Q2_2024     5
Q3_2023     5
Q3_2024     5
Q4_2023     5
Q4_2024     5
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Metric:
['Tổng GT khớp', 'Tổng KL khớp', 'Tổng KL đặt bán', 'Tổng KL đặt mua', 'Tổng số phiên']..., số giá trị độc nhất: 5
StockID:
['FPT']..., số giá trị độc nhất: 1
2022:
['40,127,592', '433,450,400', '777,756,500', '718,646,200', '249']..., số giá trị độc nhất: 5
2023:
['32,903,598', '370,659,600', '709,579,200', '709,645,600', '249']..., số giá trị độc nhất: 5
2024:
['129,164,565', '1,000,508,500', '1,577,738,200', '1,570,432,300', '250']..., số giá trị độc nhất: 5
2025:
['26,888,006', '186,016,800', '294,590,800', '314,773,800', '45']..., số giá trị độc nhất: 5
M10_2023:
['5,411,519', '58,518,600', '107,180,800', '107,632,100', '22']..., số giá trị độc nhất: 5
M10_2024:
['9,384,944', '68,748,900', '120,487,000', '117,352,300', '23']..., số giá trị độc nhất: 5
M11_2023:
['4,255,216', '46,990,600', '98,432,100', '93,097,900', '22']..., số giá trị độc nhất: 5
M11_2024:
['13,050,959', '96,216,400', '170,419,800', '160,185,700', '21']..., số giá trị độc nhất: 5
M12_2023:
['4,154,163', '43,649,700', '90,358,800', '79,352,200', '21']..., số giá trị độc nhất: 5
M12_2024:
['12,658,417', '85,416,000', '142,458,200', '142,597,200', '22']..., số giá trị độc nhất: 5
M1_2024:
['3,147,106', '32,827,500', '67,408,700', '62,587,800', '22']..., số giá trị độc nhất: 5
M1_2025:
['8,534,914', '57,077,300', '86,906,100', '88,070,200', '17']..., số giá trị độc nhất: 5
M2_2024:
['5,008,978', '48,078,100', '71,546,400', '67,035,400', '16']..., số giá trị độc nhất: 5
M2_2025:
['13,399,266', '93,419,200', '148,910,100', '161,785,900', '20']..., số giá trị độc nhất: 5
M3_2023:
['1,195,077', '15,125,900', '29,082,600', '35,898,200', '23']..., số giá trị độc nhất: 5
M3_2024:
['7,784,914', '68,853,100', '121,896,600', '126,321,700', '21']..., số giá trị độc nhất: 5
M3_2025:
['4,953,826', '35,520,300', '58,774,600', '64,917,700', '8']..., số giá trị độc nhất: 5
M4_2023:
['883,407', '11,100,100', '22,548,500', '25,723,000', '20']..., số giá trị độc nhất: 5
M4_2024:
['6,978,395', '60,367,000', '102,734,100', '121,793,000', '19']..., số giá trị độc nhất: 5
M5_2023:
['1,351,987', '16,543,100', '33,994,100', '39,736,600', '20']..., số giá trị độc nhất: 5
M5_2024:
['11,581,548', '87,243,800', '150,777,000', '154,735,700', '22']..., số giá trị độc nhất: 5
M6_2023:
['1,645,410', '19,334,200', '41,383,200', '37,411,700', '22']..., số giá trị độc nhất: 5
M6_2024:
['20,390,648', '152,347,900', '211,010,300', '215,201,000', '20']..., số giá trị độc nhất: 5
M7_2023:
['2,164,749', '27,230,100', '49,137,000', '44,333,500', '21']..., số giá trị độc nhất: 5
M7_2024:
['17,425,878', '132,559,000', '161,618,900', '173,092,300', '23']..., số giá trị độc nhất: 5
M8_2023:
['3,961,773', '45,397,500', '78,526,200', '88,139,200', '23']..., số giá trị độc nhất: 5
M8_2024:
['12,332,109', '96,911,000', '135,081,700', '119,291,500', '22']..., số giá trị độc nhất: 5
M9_2023:
['5,289,450', '54,966,700', '99,121,200', '97,965,500', '19']..., số giá trị độc nhất: 5
M9_2024:
['9,420,669', '70,939,800', '122,299,500', '110,238,700', '19']..., số giá trị độc nhất: 5
Q1_2023:
['3,785,924', '46,929,000', '88,897,300', '96,253,900', '59']..., số giá trị độc nhất: 5
Q1_2024:
['15,940,998', '149,758,700', '260,851,700', '255,944,900', '59']..., số giá trị độc nhất: 5
Q1_2025:
['26,888,006', '186,016,800', '294,590,800', '314,773,800', '45']..., số giá trị độc nhất: 5
Q2_2023:
['3,880,804', '46,977,400', '97,925,800', '102,871,300', '62']..., số giá trị độc nhất: 5
Q2_2024:
['38,950,591', '299,958,700', '464,521,400', '491,729,700', '61']..., số giá trị độc nhất: 5
Q3_2023:
['11,415,972', '127,594,300', '226,784,400', '230,438,200', '63']..., số giá trị độc nhất: 5
Q3_2024:
['39,178,656', '300,409,800', '419,000,100', '402,622,500', '64']..., số giá trị độc nhất: 5
Q4_2023:
['13,820,898', '149,158,900', '295,971,700', '280,082,200', '65']..., số giá trị độc nhất: 5
Q4_2024:
['35,094,320', '250,381,300', '433,365,000', '420,135,200', '66']..., số giá trị độc nhất: 5
Các bản ghi bị trùng:
Metric StockID 2022 2023 2024 2025 M10_2023 M10_2024 M11_2023 M11_2024 M12_2023 M12_2024 M1_2024 M1_2025 M2_2024 M2_2025 M3_2023 M3_2024 M3_2025 M4_2023 M4_2024 M5_2023 M5_2024 M6_2023 M6_2024 M7_2023 M7_2024 M8_2023 M8_2024 M9_2023 M9_2024 Q1_2023 Q1_2024 Q1_2025 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: FPT_news_features.csv
FPT_news_features.csv
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
0 2023-05-04 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00
1 2023-05-05 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2 2023-05-06 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
3 2023-05-07 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
4 2023-05-08 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
708 2025-04-11 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
709 2025-04-12 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
710 2025-04-13 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
711 2025-04-14 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
712 2025-04-15 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 713 entries, 0 to 712
Data columns (total 13 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Unnamed: 0             713 non-null    object 
 1   news_count             713 non-null    float64
 2   news_avg_title_len     713 non-null    float64
 3   news_avg_summary_len   713 non-null    float64
 4   news_total_pos_kw      713 non-null    float64
 5   news_total_neg_kw      713 non-null    float64
 6   news_llm_sentiment     713 non-null    float64
 7   div_event_count        713 non-null    float64
 8   div_total_vnd          713 non-null    float64
 9   div_total_bonus_ratio  713 non-null    float64
 10  it_event_count         713 non-null    float64
 11  it_total_executed_vol  713 non-null    float64
 12  meeting_event_count    713 non-null    float64
dtypes: float64(12), object(1)
memory usage: 72.5+ KB
None
Số giá trị bị rỗng:
Unnamed: 0               0
news_count               0
news_avg_title_len       0
news_avg_summary_len     0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00
mean 1.27 119.26 1,923.22 1.05 0.02 0.12 1.50 1,000.00 3.33 1.11 -968,731.78 1.00
std 0.60 38.61 251.61 0.94 0.13 0.38 0.50 0.00 3.34 0.61 1,399,125.38 0.00
min 1.00 28.00 1,114.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
25% 1.00 83.00 1,726.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
50% 1.00 118.00 2,004.00 1.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -60,000.00 1.00
75% 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
max 3.00 183.00 2,562.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 
Unnamed: 0               713
news_count                 3
news_avg_title_len        84
news_avg_summary_len     120
news_total_pos_kw          4
news_total_neg_kw          2
news_llm_sentiment         3
div_event_count            2
div_total_vnd              1
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     10
meeting_event_count        1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Unnamed: 0:
['2023-05-04', '2023-05-05', '2023-05-06', '2023-05-07', '2023-05-08', '2023-05-09', '2023-05-10', '2023-05-11', '2023-05-12', '2023-05-13', '2023-05-14', '2023-05-15', '2023-05-16', '2023-05-17', '2023-05-18', '2023-05-19', '2023-05-20', '2023-05-21', '2023-05-22', '2023-05-23']..., số giá trị độc nhất: 713
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_avg_title_len:
[160.0, 114.5, 118.0, 88.0, 29.0, 80.0, 63.0, 101.0, 102.0, 111.0, 125.0, 122.0, 75.0, 99.66666666666669, 74.0, 80.5, 92.0, 127.0, 131.0, 167.0]..., số giá trị độc nhất: 84
news_avg_summary_len:
[2103.0, 1866.0, 2023.0, 2101.0, 1562.0, 1873.0, 2105.0, 1666.0, 1734.0, 1584.0, 1693.0, 2154.0, 1930.0, 2159.0, 1944.0, 1700.0, 1992.5, 2017.0, 1958.0, 1265.0]..., số giá trị độc nhất: 120
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count 
Accessing file: FPT_pricefluctuation_avgtransamount_processed.csv
FPT_pricefluctuation_avgtransamount_processed.csv
StockID Metric Value Section Title
0 FPT +/- Qua 1 tuần -2.30% Biến động giá giao dịch
1 FPT +/- Qua 1 tháng -6.28% Biến động giá giao dịch
2 FPT +/- Qua 1 quý -9.52% Biến động giá giao dịch
3 FPT +/- Qua 1 năm +41.63% Biến động giá giao dịch
4 FPT +/- Niêm yết +1,054.63% Biến động giá giao dịch
StockID Metric Value Section Title
14 FPT KLGD/Ngày (1 tháng) 4,161,455 Khối lượng giao dịch bình quân/ngày
15 FPT KLGD/Ngày (1 quý) 3,924,347 Khối lượng giao dịch bình quân/ngày
16 FPT KLGD/Ngày (1 năm) 4,329,257 Khối lượng giao dịch bình quân/ngày
17 FPT Nhiều nhất 52 tuần (25/06/2024)* 13,706,800 Khối lượng giao dịch bình quân/ngày
18 FPT Ít nhất 52 tuần (31/10/2024)* 1,241,700 Khối lượng giao dịch bình quân/ngày 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 19 entries, 0 to 18
Data columns (total 4 columns):
 #   Column         Non-Null Count  Dtype 
---  ------         --------------  ----- 
 0   StockID        19 non-null     object
 1   Metric         19 non-null     object
 2   Value          19 non-null     object
 3   Section Title  19 non-null     object
dtypes: object(4)
memory usage: 740.0+ bytes
None
Số giá trị bị rỗng:
StockID          0
Metric           0
Value            0
Section Title    0
dtype: int64
Thống kê các giá trị:
StockID Metric Value Section Title
count 19 19 19 19
unique 1 13 13 2
top FPT KLGD/Ngày (1 tuần) 5,332,800 Biến động giá giao dịch
freq 19 2 2 13 
StockID           1
Metric           13
Value            13
Section Title     2
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['FPT']..., số giá trị độc nhất: 1
Metric:
['+/- Qua 1 tuần', '+/- Qua 1 tháng', '+/- Qua 1 quý', '+/- Qua 1 năm', '+/- Niêm yết', 'Cao nhất 52 tuần (23/01/2025)*', 'Thấp nhất 52 tuần (19/04/2024)*', 'KLGD/Ngày (1 tuần)', 'KLGD/Ngày (1 tháng)', 'KLGD/Ngày (1 quý)', 'KLGD/Ngày (1 năm)', 'Nhiều nhất 52 tuần (25/06/2024)*', 'Ít nhất 52 tuần (31/10/2024)*']..., số giá trị độc nhất: 13
Value:
['-2.30%', '-6.28%', '-9.52%', '+41.63%', '+1,054.63%', '154,300', '93,467', '5,332,800', '4,161,455', '3,924,347', '4,329,257', '13,706,800', '1,241,700']..., số giá trị độc nhất: 13
Section Title:
['Biến động giá giao dịch', 'Khối lượng giao dịch bình quân/ngày']..., số giá trị độc nhất: 2
Các bản ghi bị trùng:
StockID Metric Value Section Title 
Accessing file: TARGET CMG_detail_transactions_processed.csv
TARGET CMG_detail_transactions_processed.csv
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value
0 CMG 12/03/2025 1,808,600 77,169 8,927,459 42,250 -850 -1.97 1,808,600 77,169
1 CMG 11/03/2025 1,602,500 69,081 9,107,065 43,100 -850 -1.93 1,602,500 69,081
2 CMG 10/03/2025 910,000 40,111 9,286,670 43,950 -400 -0.90 910,000 40,111
3 CMG 07/03/2025 596,200 26,542 9,371,191 44,350 -250 -0.56 596,200 26,542
4 CMG 06/03/2025 1,053,600 46,780 9,425,746 44,600 600 1.36 1,053,600 46,780
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value
245 CMG 18/03/2024 277,300 11,207 7,781,605 40,950 -550 -1.33 205,300 8,255
246 CMG 15/03/2024 319,900 13,079 7,886,120 41,500 -150 -0.36 219,900 8,914
247 CMG 14/03/2024 313,300 12,863 7,914,624 41,650 -300 -0.72 247,300 10,157
248 CMG 13/03/2024 486,500 20,274 7,971,632 41,950 1,350 3.33 386,500 16,214
249 CMG 12/03/2024 588,800 23,350 7,715,096 40,600 1,400 3.57 528,800 20,998 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 250 entries, 0 to 249
Data columns (total 10 columns):
 #   Column          Non-Null Count  Dtype  
---  ------          --------------  -----  
 0   StockID         250 non-null    object 
 1   Date            250 non-null    object 
 2   Total Volume    250 non-null    object 
 3   Total Value     250 non-null    object 
 4   Market Cap      250 non-null    object 
 5   Closing Price   250 non-null    object 
 6   Price Change    250 non-null    object 
 7   Price Change %  250 non-null    float64
 8   Matched Volume  250 non-null    object 
 9   Matched Value   250 non-null    object 
dtypes: float64(1), object(9)
memory usage: 19.7+ KB
None
Số giá trị bị rỗng:
StockID           0
Date              0
Total Volume      0
Total Value       0
Market Cap        0
Closing Price     0
Price Change      0
Price Change %    0
Matched Volume    0
Matched Value     0
dtype: int64
Thống kê các giá trị:
Price Change %
count 250.00
mean 0.11
std 2.65
min -7.00
25% -1.37
50% 0.00
75% 1.51
max 6.98 
StockID             1
Date              250
Total Volume      250
Total Value       250
Market Cap        205
Closing Price     173
Price Change       88
Price Change %    200
Matched Volume    249
Matched Value     250
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['CMG']..., số giá trị độc nhất: 1
Date:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 250
Total Volume:
['1,808,600', '1,602,500', '910,000', '596,200', '1,053,600', '644,900', '1,093,200', '646,400', '793,900', '526,300', '952,600', '939,900', '1,858,984', '880,000', '676,700', '1,060,600', '590,500', '917,400', '811,200', '564,500']..., số giá trị độc nhất: 250
Total Value:
['77,169', '69,081', '40,111', '26,542', '46,780', '28,510', '48,160', '28,776', '35,229', '23,406', '42,599', '41,485', '81,677', '39,332', '30,538', '47,688', '26,336', '41,021', '36,673', '25,547']..., số giá trị độc nhất: 250
Market Cap:
['8,927,459', '9,107,065', '9,286,670', '9,371,191', '9,425,746', '9,298,943', '9,330,644', '9,372,912', '9,383,479', '9,394,046', '9,341,211', '9,446,880', '9,489,148', '9,563,117', '9,415,179', '9,510,282', '9,584,251', '9,436,313', '9,309,510', '9,499,715']..., số giá trị độc nhất: 205
Closing Price:
['42,250', '43,100', '43,950', '44,350', '44,600', '44,000', '44,150', '44,400', '44,450', '44,200', '44,700', '44,900', '45,250', '44,550', '45,000', '45,350', '44,650', '44,050', '44,950', '45,200']..., số giá trị độc nhất: 173
Price Change:
['-850', '-400', '-250', '600', '-150', '-200', '-50', '400', '50', '-550', '-350', '650', '-450', '-100', '700', '-900', '-600', '-2,300', '1,100', '350']..., số giá trị độc nhất: 88
Price Change %:
[-1.97, -1.93, -0.9, -0.56, 1.36, -0.34, -0.45, -0.11, 0.9, 0.11, -1.23, -0.77, 1.46, -1.0, -0.55, -0.22, 1.57, -2.0, -1.31, 0.88]..., số giá trị độc nhất: 200
Matched Volume:
['1,808,600', '1,602,500', '910,000', '596,200', '1,053,600', '644,900', '1,093,200', '646,400', '793,900', '526,300', '952,600', '939,900', '1,668,600', '880,000', '676,700', '1,060,600', '590,500', '917,400', '811,200', '564,500']..., số giá trị độc nhất: 249
Matched Value:
['77,169', '69,081', '40,111', '26,542', '46,780', '28,510', '48,160', '28,776', '35,229', '23,406', '42,599', '41,485', '73,757', '39,332', '30,538', '47,688', '26,336', '41,021', '36,673', '25,547']..., số giá trị độc nhất: 250
Các bản ghi bị trùng:
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value 
Accessing file: TARGET FPT_detail_transactions_processed.csv
TARGET FPT_detail_transactions_processed.csv
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value
0 FPT 12/03/2025 6,365,000 870,067 199,918,302 135,900 -1,600 -1.16 6,185,000 844,877
1 FPT 11/03/2025 6,164,400 849,430 202,272,013 137,500 -1,800 -1.29 5,784,400 797,080
2 FPT 10/03/2025 5,681,900 796,168 204,919,937 139,300 -2,100 -1.49 5,323,000 745,248
3 FPT 07/03/2025 3,436,000 486,821 208,009,182 141,400 -200 -0.14 2,954,500 418,579
4 FPT 06/03/2025 6,511,400 921,080 208,303,396 141,600 2,500 1.80 6,417,100 907,741
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value
235 FPT 01/04/2024 3,243,600 387,065 148,332,365 116,800 300 0.26 1,974,600 229,434
236 FPT 29/03/2024 2,594,300 310,422 147,951,374 116,500 -600 -0.51 1,343,500 156,545
237 FPT 28/03/2024 2,854,400 333,719 148,713,355 117,100 1,900 1.65 2,803,200 327,411
238 FPT 27/03/2024 1,467,800 168,909 146,300,414 115,200 200 0.17 1,320,200 151,372
239 FPT 26/03/2024 3,110,290 365,684 146,046,421 115,000 1,000 0.88 1,693,300 193,338 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 240 entries, 0 to 239
Data columns (total 10 columns):
 #   Column          Non-Null Count  Dtype  
---  ------          --------------  -----  
 0   StockID         240 non-null    object 
 1   Date            240 non-null    object 
 2   Total Volume    240 non-null    object 
 3   Total Value     240 non-null    object 
 4   Market Cap      240 non-null    object 
 5   Closing Price   240 non-null    object 
 6   Price Change    240 non-null    object 
 7   Price Change %  240 non-null    float64
 8   Matched Volume  240 non-null    object 
 9   Matched Value   240 non-null    object 
dtypes: float64(1), object(9)
memory usage: 18.9+ KB
None
Số giá trị bị rỗng:
StockID           0
Date              0
Total Volume      0
Total Value       0
Market Cap        0
Closing Price     0
Price Change      0
Price Change %    0
Matched Volume    0
Matched Value     0
dtype: int64
Thống kê các giá trị:
Price Change %
count 240.00
mean 0.15
std 1.54
min -5.15
25% -0.80
50% 0.14
75% 0.95
max 6.95 
StockID             1
Date              240
Total Volume      240
Total Value       240
Market Cap        191
Closing Price     156
Price Change       76
Price Change %    179
Matched Volume    240
Matched Value     240
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
StockID:
['FPT']..., số giá trị độc nhất: 1
Date:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 240
Total Volume:
['6,365,000', '6,164,400', '5,681,900', '3,436,000', '6,511,400', '2,851,100', '4,024,595', '2,933,900', '6,943,200', '3,921,700', '3,739,800', '7,334,400', '7,517,901', '5,332,600', '3,385,400', '3,469,801', '1,664,400', '2,816,300', '3,251,709', '3,248,100']..., số giá trị độc nhất: 240
Total Value:
['870,067', '849,430', '796,168', '486,821', '921,080', '398,057', '561,630', '412,898', '970,677', '553,708', '524,682', '1,018,328', '1,055,207', '756,982', '485,313', '498,207', '239,297', '401,807', '470,242', '465,945']..., số giá trị độc nhất: 240
Market Cap:
['199,918,302', '202,272,013', '204,919,937', '208,009,182', '208,303,396', '204,625,723', '205,949,686', '206,685,220', '206,391,006', '207,862,076', '208,597,610', '204,478,616', '208,891,824', '210,362,893', '211,833,962', '211,686,855', '211,245,535', '213,157,925', '210,510,000', '213,305,032']..., số giá trị độc nhất: 191
Closing Price:
['135,900', '137,500', '139,300', '141,400', '141,600', '139,100', '140,000', '140,500', '140,300', '141,300', '141,800', '139,000', '142,000', '143,000', '144,000', '143,900', '143,600', '144,900', '143,100', '145,000']..., số giá trị độc nhất: 156
Price Change:
['-1,600', '-1,800', '-2,100', '-200', '2,500', '-900', '-500', '200', '-1,000', '2,800', '-1,500', '100', '300', '-1,300', '1,800', '-1,900', '-400', '3,400', '-4,100', '700']..., số giá trị độc nhất: 76
Price Change %:
[-1.16, -1.29, -1.49, -0.14, 1.8, -0.64, -0.36, 0.14, -0.71, -0.35, 2.01, -1.07, -1.06, -0.7, -0.69, 0.07, 0.21, -0.9, 1.26, -1.31]..., số giá trị độc nhất: 179
Matched Volume:
['6,185,000', '5,784,400', '5,323,000', '2,954,500', '6,417,100', '2,851,100', '3,471,300', '2,533,900', '4,694,400', '3,421,700', '3,323,400', '6,810,400', '7,497,900', '5,312,600', '3,385,400', '3,029,800', '1,664,400', '2,466,300', '3,251,700', '2,850,800']..., số giá trị độc nhất: 240
Matched Value:
['844,877', '797,080', '745,248', '418,579', '907,741', '398,057', '485,622', '356,622', '655,863', '483,088', '466,222', '945,360', '1,052,387', '754,130', '485,313', '435,016', '239,297', '354,627', '470,241', '409,131']..., số giá trị độc nhất: 240
Các bản ghi bị trùng:
StockID Date Total Volume Total Value Market Cap Closing Price Price Change Price Change % Matched Volume Matched Value 
Accessing file: VN Index.csv
VN Index.csv
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
0 12/03/2025 1,334.41 1,332.54 1,342.91 1,331.75 942.05M 0.14%
1 11/03/2025 1,332.54 1,330.28 1,332.54 1,315.92 933.34M 0.17%
2 10/03/2025 1,330.28 1,326.05 1,335.87 1,326.05 1.02B 0.32%
3 07/03/2025 1,326.05 1,318.22 1,327.07 1,318.22 957.52M 0.59%
4 06/03/2025 1,318.22 1,304.71 1,318.22 1,304.71 1.06B 1.04%
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
245 18/03/2024 1,243.56 1,263.78 1,269.90 1,221.67 1.71M -1.60%
246 15/03/2024 1,263.78 1,264.26 1,271.63 1,252.36 1.07M -0.04%
247 14/03/2024 1,264.26 1,270.51 1,276.41 1,258.67 1.06M -0.49%
248 13/03/2024 1,270.51 1,245.00 1,270.51 1,245.00 982.23K 2.05%
249 12/03/2024 1,245.00 1,235.49 1,248.33 1,233.14 836.22K 0.77% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 250 entries, 0 to 249
Data columns (total 7 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   Ngày        250 non-null    object
 1   Lần cuối    250 non-null    object
 2   Mở          250 non-null    object
 3   Cao         250 non-null    object
 4   Thấp        250 non-null    object
 5   KL          250 non-null    object
 6   % Thay đổi  250 non-null    object
dtypes: object(7)
memory usage: 13.8+ KB
None
Số giá trị bị rỗng:
Ngày          0
Lần cuối      0
Mở            0
Cao           0
Thấp          0
KL            0
% Thay đổi    0
dtype: int64
Thống kê các giá trị:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
count 250 250 250 250 250 250 250
unique 250 245 245 245 247 243 160
top 12/03/2025 1,261.72 1,261.72 1,276.99 1,304.71 1.07M -0.12%
freq 1 2 2 2 2 3 6 
Ngày          250
Lần cuối      245
Mở            245
Cao           245
Thấp          247
KL            243
% Thay đổi    160
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngày:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 250
Lần cuối:
['1,334.41', '1,332.54', '1,330.28', '1,326.05', '1,318.22', '1,304.71', '1,311.91', '1,309.37', '1,305.36', '1,307.80', '1,302.96', '1,303.16', '1,304.56', '1,296.75', '1,292.98', '1,288.56', '1,278.14', '1,272.72', '1,276.08', '1,270.35']..., số giá trị độc nhất: 245
Mở:
['1,332.54', '1,330.28', '1,326.05', '1,318.22', '1,304.71', '1,311.91', '1,309.37', '1,305.36', '1,307.80', '1,307.31', '1,303.16', '1,306.86', '1,296.75', '1,292.98', '1,288.56', '1,278.14', '1,272.72', '1,276.08', '1,270.35', '1,266.91']..., số giá trị độc nhất: 245
Cao:
['1,342.91', '1,332.54', '1,335.87', '1,327.07', '1,318.22', '1,319.52', '1,313.21', '1,309.77', '1,308.77', '1,307.87', '1,306.49', '1,309.97', '1,304.56', '1,296.75', '1,295.82', '1,288.56', '1,283.34', '1,278.49', '1,280.60', '1,270.67']..., số giá trị độc nhất: 245
Thấp:
['1,331.75', '1,315.92', '1,326.05', '1,318.22', '1,304.71', '1,298.28', '1,304.30', '1,300.66', '1,296.43', '1,301.20', '1,298.54', '1,294.69', '1,290.98', '1,288.56', '1,278.14', '1,272.19', '1,272.72', '1,270.35', '1,263.85', '1,266.59']..., số giá trị độc nhất: 247
KL:
['942.05M', '933.34M', '1.02B', '957.52M', '1.06B', '979.93M', '976.08M', '814.81M', '892.98M', '758.27M', '885.78M', '892.36M', '740.53M', '770.75M', '814.56M', '706.79M', '852.79M', '650.49M', '512.02M', '506.16M']..., số giá trị độc nhất: 243
% Thay đổi:
['0.14%', '0.17%', '0.32%', '0.59%', '1.04%', '-0.55%', '0.19%', '0.31%', '-0.19%', '0.37%', '-0.02%', '-0.11%', '0.60%', '0.29%', '0.34%', '0.82%', '0.43%', '-0.26%', '0.45%', '0.27%']..., số giá trị độc nhất: 160
Các bản ghi bị trùng:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi 
Accessing file: all_stock_orders_statistics_processed.csv
all_stock_orders_statistics_processed.csv
No Date StockID Close Price Matched Volume Matched Value Best Buy Price Best Buy Volume Best Sell Price Best Sell Volume Buy Orders Sell Orders Net Orders Buy Volume Sell Volume Net Volume Exchange
0 1 12/03/2025 AAA 8.77 1,717,100 15,142 8.90 58,600 8.79 2,600 1,261 1,194 67 3,198,300 5,108,200 -1,909,900 HOSE
1 2 12/03/2025 AAM 7.20 9,100 64 7.10 100 7.10 600 36 50 -14 14,300 23,900 -9,600 HOSE
2 3 12/03/2025 AAT 3.21 46,000 147 3.24 1,200 3.21 2,700 95 65 30 83,400 116,300 -32,900 HOSE
3 4 12/03/2025 ABR 13.60 0 0 13.30 500 14.30 700 9 6 3 5,200 1,000 4,200 HOSE
4 5 12/03/2025 ABS 4.41 179,500 793 4.45 9,000 4.41 7,200 279 155 124 518,700 657,500 -138,800 HOSE
No Date StockID Close Price Matched Volume Matched Value Best Buy Price Best Buy Volume Best Sell Price Best Sell Volume Buy Orders Sell Orders Net Orders Buy Volume Sell Volume Net Volume Exchange
1665 882 12/03/2025 XMD 5.00 0 0 5.00 1,000 5.40 100 4 6 -2 1,500 600 900 UPCoM
1666 883 12/03/2025 XMP 15.50 200 3 15.00 400 15.50 300 7 4 3 2,800 1,700 1,100 UPCoM
1667 884 12/03/2025 XPH 7.40 28,700 216 7.30 1,000 7.40 1,000 29 36 -7 37,200 90,100 -52,900 UPCoM
1668 885 12/03/2025 YBC 17.00 7,776 140 17.00 100 19.20 3,400 74 58 16 11,300 11,100 200 UPCoM
1669 886 12/03/2025 YTC 34.50 104 4 34.50 100 35.00 200 5 7 -2 1,400 1,000 400 UPCoM 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1670 entries, 0 to 1669
Data columns (total 17 columns):
 #   Column            Non-Null Count  Dtype  
---  ------            --------------  -----  
 0   No                1670 non-null   int64  
 1   Date              1670 non-null   object 
 2   StockID           1670 non-null   object 
 3   Close Price       1670 non-null   float64
 4   Matched Volume    1670 non-null   object 
 5   Matched Value     1670 non-null   object 
 6   Best Buy Price    1670 non-null   float64
 7   Best Buy Volume   1670 non-null   object 
 8   Best Sell Price   1670 non-null   float64
 9   Best Sell Volume  1670 non-null   object 
 10  Buy Orders        1670 non-null   object 
 11  Sell Orders       1670 non-null   object 
 12  Net Orders        1670 non-null   object 
 13  Buy Volume        1670 non-null   object 
 14  Sell Volume       1670 non-null   object 
 15  Net Volume        1670 non-null   object 
 16  Exchange          1670 non-null   object 
dtypes: float64(3), int64(1), object(13)
memory usage: 221.9+ KB
None
Số giá trị bị rỗng:
No                  0
Date                0
StockID             0
Close Price         0
Matched Volume      0
Matched Value       0
Best Buy Price      0
Best Buy Volume     0
Best Sell Price     0
Best Sell Volume    0
Buy Orders          0
Sell Orders         0
Net Orders          0
Buy Volume          0
Sell Volume         0
Net Volume          0
Exchange            0
dtype: int64
Thống kê các giá trị:
No Close Price Best Buy Price Best Sell Price
count 1,670.00 1,670.00 1,670.00 1,670.00
mean 316.09 22.37 15.17 15.17
std 243.59 31.32 26.76 26.58
min 1.00 0.20 0.00 0.00
25% 120.00 7.20 0.00 0.00
50% 259.00 13.60 6.78 6.70
75% 468.75 26.29 19.60 19.81
max 886.00 400.00 358.30 373.00 
No                   886
Date                   1
StockID             1610
Close Price          660
Matched Volume       777
Matched Value        665
Best Buy Price       569
Best Buy Volume      268
Best Sell Price      559
Best Sell Volume     248
Buy Orders           432
Sell Orders          415
Net Orders           338
Buy Volume           789
Sell Volume          820
Net Volume           781
Exchange               5
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 886
Date:
['12/03/2025']..., số giá trị độc nhất: 1
StockID:
['AAA', 'AAM', 'AAT', 'ABR', 'ABS', 'ABT', 'ACB', 'ACC', 'ACG', 'ACL', 'ADG', 'ADP', 'ADS', 'AGG', 'AGM', 'AGR', 'ANV', 'APG', 'APH', 'ASG']..., số giá trị độc nhất: 1610
Close Price:
[8.77, 7.2, 3.21, 13.6, 4.41, 49.3, 26.3, 14.5, 39.65, 11.0, 10.5, 28.8, 9.27, 17.9, 2.94, 18.65, 17.25, 10.1, 7.18, 17.75]..., số giá trị độc nhất: 660
Matched Volume:
['1,717,100', '9,100', '46,000', '0', '179,500', '7,300', '7,796,200', '333,600', '54,100', '55,900', '6,700', '9,300', '67,600', '1,279,900', '199,600', '1,390,300', '1,216,100', '555,000', '270,200', '3,300']..., số giá trị độc nhất: 777
Matched Value:
['15,142', '64', '147', '0', '793', '361', '206,250', '4,819', '2,131', '616', '68', '268', '623', '23,025', '580', '25,795', '21,110', '5,576', '1,947', '57']..., số giá trị độc nhất: 665
Best Buy Price:
[8.9, 7.1, 3.24, 13.3, 4.45, 49.8, 26.65, 14.55, 42.2, 11.15, 10.5, 28.9, 9.32, 18.45, 2.99, 18.7, 17.5, 10.35, 7.25, 17.75]..., số giá trị độc nhất: 569
Best Buy Volume:
['58,600', '100', '1,200', '500', '9,000', '700', '92,000', '9,800', '200', '300', '900', '1,400', '15,200', '9,300', '38,200', '19,300', '4,800', '23,800', '10,000', '80,500']..., số giá trị độc nhất: 268
Best Sell Price:
[8.79, 7.1, 3.21, 14.3, 4.41, 49.25, 26.35, 14.35, 39.65, 11.0, 10.45, 28.8, 9.28, 17.9, 2.89, 18.65, 17.3, 10.15, 7.2, 17.7]..., số giá trị độc nhất: 559
Best Sell Volume:
['2,600', '600', '2,700', '700', '7,200', '100', '5,000', '8,400', '11,400', '3,900', '6,200', '1,000', '12,000', '12,400', '25,800', '8,300', '28,400', '17,600', '2,300', '13,400']..., số giá trị độc nhất: 248
Buy Orders:
['1,261', '36', '95', '9', '279', '84', '4,245', '112', '107', '160', '66', '45', '206', '772', '234', '1,066', '943', '482', '271', '50']..., số giá trị độc nhất: 432
Sell Orders:
['1,194', '50', '65', '6', '155', '97', '4,134', '135', '75', '69', '34', '26', '172', '1,196', '167', '1,242', '1,182', '437', '380', '14']..., số giá trị độc nhất: 415
Net Orders:
['67', '-14', '30', '3', '124', '-13', '111', '-23', '32', '91', '19', '34', '-424', '-176', '-239', '45', '-109', '36', '129', '-53']..., số giá trị độc nhất: 338
Buy Volume:
['3,198,300', '14,300', '83,400', '5,200', '518,700', '16,300', '14,926,700', '410,100', '78,600', '97,900', '36,800', '14,000', '266,300', '2,112,900', '309,900', '2,452,300', '2,527,000', '1,150,300', '562,600', '25,300']..., số giá trị độc nhất: 789
Sell Volume:
['5,108,200', '23,900', '116,300', '1,000', '657,500', '35,300', '15,448,500', '732,000', '210,300', '303,700', '37,100', '25,500', '256,000', '2,992,900', '668,800', '2,945,100', '3,674,000', '1,615,400', '1,237,700', '9,300']..., số giá trị độc nhất: 820
Net Volume:
['-1,909,900', '-9,600', '-32,900', '4,200', '-138,800', '-19,000', '-521,800', '-321,900', '-131,700', '-205,800', '-300', '-11,500', '10,300', '-880,000', '-358,900', '-492,800', '-1,147,000', '-465,100', '-675,100', '16,000']..., số giá trị độc nhất: 781
Exchange:
['HOSE', 'HNX', 'VN30', 'HNX30', 'UPCoM']..., số giá trị độc nhất: 5
Các bản ghi bị trùng:
No Date StockID Close Price Matched Volume Matched Value Best Buy Price Best Buy Volume Best Sell Price Best Sell Volume Buy Orders Sell Orders Net Orders Buy Volume Sell Volume Net Volume Exchange 
Accessing file: all_stock_prices_statistics_processed.csv
all_stock_prices_statistics_processed.csv
No Date StockID Reference Price Open Price Close Price Highest Price Lowest Price Average Price Change + Change % Trading Volume Trading Value Negotiated Volume Negotiated Value Total Trading Volume Total Trading Value Market Cap Exchange
0 1 12/03/2025 AAA 8.88 8.89 8.77 8.91 8.75 8.82 -110 -1.24 1,717,100 15,142 246,000 2,214 1,963,100 17,356 3,352,547 HOSE
1 2 12/03/2025 AAM 7.00 7.10 7.20 7.20 7.10 7.03 200 2.86 9,100 64 0 0 9,100 64 75,249 HOSE
2 3 12/03/2025 AAT 3.23 3.20 3.21 3.24 3.20 3.20 -20 -0.62 46,000 147 0 0 46,000 147 227,329 HOSE
3 4 12/03/2025 ABR 13.60 13.60 13.60 13.60 13.60 - - - 0 0 0 0 0 0 272,000 HOSE
4 5 12/03/2025 ABS 4.43 4.43 4.41 4.45 4.40 4.42 -20 -0.45 179,500 793 0 0 179,500 793 352,800 HOSE
No Date StockID Reference Price Open Price Close Price Highest Price Lowest Price Average Price Change + Change % Trading Volume Trading Value Negotiated Volume Negotiated Value Total Trading Volume Total Trading Value Market Cap Exchange
1406 882 12/03/2025 XMD 5.00 5.00 5.00 5.00 5.00 5.00 - - 0 0 0 0 0 0 20,000 UPCoM
1407 883 12/03/2025 XMP 15.40 15.30 15.50 15.50 15.30 15.40 100 0.65 200 3 0 0 200 3 232,500 UPCoM
1408 884 12/03/2025 XPH 7.90 7.90 7.40 7.90 7.40 7.53 -500 -6.33 28,700 216 0 0 28,700 216 95,996 UPCoM
1409 885 12/03/2025 YBC 16.70 17.00 17.00 19.20 17.00 18.06 300 1.80 7,776 140 0 0 7,776 140 200,161 UPCoM
1410 886 12/03/2025 YTC 35.50 34.50 34.50 34.50 34.50 34.50 -1,000 -2.82 104 4 0 0 104 4 329,406 UPCoM 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1411 entries, 0 to 1410
Data columns (total 19 columns):
 #   Column                Non-Null Count  Dtype  
---  ------                --------------  -----  
 0   No                    1411 non-null   int64  
 1   Date                  1411 non-null   object 
 2   StockID               1411 non-null   object 
 3   Reference Price       1411 non-null   float64
 4   Open Price            1411 non-null   float64
 5   Close Price           1411 non-null   float64
 6   Highest Price         1411 non-null   float64
 7   Lowest Price          1411 non-null   float64
 8   Average Price         1411 non-null   object 
 9   Change +              1411 non-null   object 
 10  Change %              1411 non-null   object 
 11  Trading Volume        1411 non-null   object 
 12  Trading Value         1411 non-null   object 
 13  Negotiated Volume     1411 non-null   object 
 14  Negotiated Value      1411 non-null   object 
 15  Total Trading Volume  1411 non-null   object 
 16  Total Trading Value   1411 non-null   object 
 17  Market Cap            1411 non-null   object 
 18  Exchange              1411 non-null   object 
dtypes: float64(5), int64(1), object(13)
memory usage: 209.6+ KB
None
Số giá trị bị rỗng:
No                      0
Date                    0
StockID                 0
Reference Price         0
Open Price              0
Close Price             0
Highest Price           0
Lowest Price            0
Average Price           0
Change +                0
Change %                0
Trading Volume          0
Trading Value           0
Negotiated Volume       0
Negotiated Value        0
Total Trading Volume    0
Total Trading Value     0
Market Cap              0
Exchange                0
dtype: int64
Thống kê các giá trị:
No Reference Price Open Price Close Price Highest Price Lowest Price
count 1,411.00 1,411.00 1,411.00 1,411.00 1,411.00 1,411.00
mean 344.83 22.71 22.79 22.75 22.97 22.57
std 252.79 32.05 32.60 32.58 32.80 32.43
min 1.00 0.20 0.20 0.20 0.20 0.20
25% 132.00 6.90 6.97 6.90 7.00 6.90
50% 304.00 13.90 13.90 13.90 14.00 13.80
75% 533.50 26.88 26.85 26.90 27.00 26.52
max 886.00 378.00 400.00 400.00 400.00 400.00 
No                       886
Date                       1
StockID                 1340
Reference Price          633
Open Price               610
Close Price              617
Highest Price            610
Lowest Price             623
Average Price            847
Change +                 109
Change %                 450
Trading Volume           654
Trading Value            578
Negotiated Volume         66
Negotiated Value          66
Total Trading Volume     660
Total Trading Value      583
Market Cap              1311
Exchange                   5
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 886
Date:
['12/03/2025']..., số giá trị độc nhất: 1
StockID:
['AAA', 'AAM', 'AAT', 'ABR', 'ABS', 'ABT', 'ACB', 'ACC', 'ACG', 'ACL', 'ADG', 'ADP', 'ADS', 'AGG', 'AGM', 'AGR', 'ANV', 'APG', 'APH', 'ASG']..., số giá trị độc nhất: 1340
Reference Price:
[8.88, 7.0, 3.23, 13.6, 4.43, 49.25, 26.45, 14.5, 39.45, 11.1, 10.45, 28.8, 9.2, 17.9, 2.95, 18.6, 17.45, 10.15, 7.25, 17.75]..., số giá trị độc nhất: 633
Open Price:
[8.89, 7.1, 3.2, 13.6, 4.43, 49.9, 26.5, 14.5, 39.6, 11.05, 10.55, 28.9, 9.2, 18.4, 2.95, 18.65, 17.5, 10.35, 7.29, 17.15]..., số giá trị độc nhất: 610
Close Price:
[8.77, 7.2, 3.21, 13.6, 4.41, 49.3, 26.3, 14.5, 39.65, 11.0, 10.5, 28.8, 9.27, 17.9, 2.94, 18.65, 17.25, 10.1, 7.18, 17.75]..., số giá trị độc nhất: 617
Highest Price:
[8.91, 7.2, 3.24, 13.6, 4.45, 49.9, 26.7, 14.5, 39.65, 11.15, 10.55, 28.95, 9.4, 18.4, 2.97, 18.7, 17.5, 10.4, 7.29, 17.75]..., số giá trị độc nhất: 610
Lowest Price:
[8.75, 7.1, 3.2, 13.6, 4.4, 49.2, 26.2, 14.35, 39.1, 11.0, 9.99, 28.8, 9.16, 17.7, 2.89, 18.4, 17.25, 9.9, 7.13, 17.05]..., số giá trị độc nhất: 623
Average Price:
['8.82', '7.03', '3.20', '-', '4.42', '49.45', '26.46', '14.45', '39.39', '11.02', '10.15', '28.82', '9.22', '17.99', '2.91', '18.55', '17.36', '10.05', '7.21', '17.27']..., số giá trị độc nhất: 847
Change +:
['-110', '200', '-20', '-', '50', '-150', '-100', '70', '-10', '-200', '-50', '-70', '30', '400', '-600', '150', '-500', '-450', '300', '-1,700']..., số giá trị độc nhất: 109
Change %:
['-1.24', '2.86', '-0.62', '-', '-0.45', '0.10', '-0.57', '0.51', '-0.90', '0.48', '0.76', '-0.34', '0.27', '-1.15', '-0.49', '-0.97', '0.60', '0.70', '-0.15', '-0.17']..., số giá trị độc nhất: 450
Trading Volume:
['1,717,100', '9,100', '46,000', '0', '179,500', '7,300', '7,796,200', '333,600', '54,100', '55,900', '6,700', '9,300', '67,600', '1,279,900', '199,600', '1,390,300', '1,216,100', '555,000', '270,200', '3,300']..., số giá trị độc nhất: 654
Trading Value:
['15,142', '64', '147', '0', '793', '361', '206,250', '4,819', '2,131', '616', '68', '268', '623', '23,025', '580', '25,795', '21,110', '5,576', '1,947', '57']..., số giá trị độc nhất: 578
Negotiated Volume:
['246,000', '0', '1,018,101', '71,492', '40,000', '39', '300,000', '400,000', '47,100', '114,000', '60,000', '40,700', '125,000', '20,683,000', '480,728', '180,000', '213,000', '1,100', '730,000', '260,000']..., số giá trị độc nhất: 66
Negotiated Value:
['2,214', '0', '27,725', '786', '666', '23,715', '5,600', '4,217', '4,767', '2,316', '4,750', '250', '437,187', '1,500', '5,072', '25,190', '2,748', '66', '37,040', '8,330']..., số giá trị độc nhất: 66
Total Trading Volume:
['1,963,100', '9,100', '46,000', '0', '179,500', '7,300', '8,814,301', '333,600', '54,100', '55,900', '78,192', '9,300', '67,600', '1,319,900', '199,600', '1,390,300', '1,216,100', '555,000', '270,200', '3,300']..., số giá trị độc nhất: 660
Total Trading Value:
['17,356', '64', '147', '0', '793', '361', '233,975', '4,819', '2,131', '616', '854', '268', '623', '23,691', '580', '25,795', '21,110', '5,576', '1,947', '57']..., số giá trị độc nhất: 583
Market Cap:
['3,352,547', '75,249', '227,329', '272,000', '352,800', '580,619', '117,473,103', '1,522,500', '5,978,742', '551,749', '224,495', '663,548', '708,179', '2,909,253', '53,508', '4,017,047', '4,592,912', '2,258,582', '1,751,089', '1,611,428']..., số giá trị độc nhất: 1311
Exchange:
['HOSE', 'HNX', 'VN30', 'HNX30', 'UPCoM']..., số giá trị độc nhất: 5
Các bản ghi bị trùng:
No Date StockID Reference Price Open Price Close Price Highest Price Lowest Price Average Price Change + Change % Trading Volume Trading Value Negotiated Volume Negotiated Value Total Trading Volume Total Trading Value Market Cap Exchange
424 301 12/03/2025 VNT 34.50 34.50 34.50 34.50 34.50 34.50 - - 0 0 0 0 0 0 574,221 HNX
425 302 12/03/2025 VSA 24.90 25.90 24.00 25.90 24.00 24.22 -900 -3.61 2,284 55 0 0 2,284 55 338,316 HNX
426 303 12/03/2025 VSM 21.00 21.00 21.00 21.50 20.70 20.98 - - 28,400 596 0 0 28,400 596 70,455 HNX
427 304 12/03/2025 VTC 9.50 9.50 9.70 9.90 9.50 9.63 200 2.11 10,519 101 0 0 10,519 101 43,933 HNX
428 305 12/03/2025 VTH 8.10 7.70 8.20 8.20 7.70 7.95 100 1.23 200 2 0 0 200 2 64,780 HNX
429 306 12/03/2025 VTJ 4.30 4.50 4.60 4.60 4.50 4.55 300 6.98 201 1 0 0 201 1 52,440 HNX
430 307 12/03/2025 VTV 13.00 12.60 12.60 12.80 12.20 12.31 -400 -3.08 114,441 1,410 0 0 114,441 1,410 393,118 HNX
431 308 12/03/2025 VTZ 17.40 17.40 17.50 17.60 17.30 17.42 100 0.57 1,625,279 28,314 0 0 1,625,279 28,314 1,332,797 HNX
432 309 12/03/2025 WCS 378.00 400.00 400.00 400.00 400.00 400.00 22,000 5.82 306 122 0 0 306 122 1,000,000 HNX
433 310 12/03/2025 WSS 5.10 5.10 5.20 5.20 5.00 5.04 100 1.96 5,208 26 0 0 5,208 26 261,560 HNX
434 311 12/03/2025 X20 16.10 16.10 16.00 16.10 15.80 15.98 -100 -0.62 20,384 326 0 0 20,384 326 276,000 HNX
465 1 12/03/2025 ACB 26.45 26.50 26.30 26.70 26.20 26.46 -150 -0.57 7,796,200 206,250 1,018,101 27,725 8,814,301 233,975 117,473,103 VN30
466 2 12/03/2025 BCM 80.20 80.20 80.60 82.10 79.90 80.81 400 0.50 827,800 66,896 300,000 23,715 1,127,800 90,611 83,421,000 VN30
467 3 12/03/2025 BID 41.40 41.35 40.90 41.40 40.85 40.99 -500 -1.21 3,968,100 162,662 0 0 3,968,100 162,662 287,173,702 VN30
468 4 12/03/2025 BVH 54.90 55.20 55.00 55.40 54.60 55.03 100 0.18 438,400 24,124 0 0 438,400 24,124 40,827,752 VN30
469 5 12/03/2025 CTG 42.60 42.80 42.65 43.30 42.30 42.84 50 0.12 9,350,500 400,548 114,000 4,767 9,464,500 405,315 229,030,148 VN30
470 6 12/03/2025 FPT 137.50 137.70 135.90 138.70 135.90 136.60 -1,600 -1.16 6,185,000 844,877 180,000 25,190 6,365,000 870,067 199,918,302 VN30
471 7 12/03/2025 GAS 67.40 67.80 67.90 68.30 67.40 67.96 500 0.74 761,300 51,738 0 0 761,300 51,738 159,067,491 VN30
472 8 12/03/2025 GVR 33.40 33.30 32.80 33.40 32.80 32.98 -600 -1.80 2,208,000 72,821 0 0 2,208,000 72,821 131,200,000 VN30
473 9 12/03/2025 HDB 23.80 23.90 23.65 23.95 23.55 23.71 -150 -0.63 8,340,600 197,715 1,183,600 28,049 9,524,200 225,764 82,658,186 VN30
474 10 12/03/2025 HPG 28.15 28.20 27.80 28.20 27.80 27.95 -350 -1.24 20,641,600 576,989 179,004 5,102 20,820,604 582,091 177,815,756 VN30
475 11 12/03/2025 LPB 34.65 34.65 35.30 35.35 34.25 34.74 650 1.88 2,715,700 94,338 65,000 2,100 2,780,700 96,438 105,451,058 VN30
476 12 12/03/2025 MBB 24.80 24.90 24.60 25.00 24.60 24.75 -200 -0.81 30,957,600 766,288 2,600,014 67,054 33,557,614 833,342 150,115,907 VN30
477 13 12/03/2025 MSN 68.90 68.90 68.70 69.70 68.70 69.20 -200 -0.29 4,987,800 345,171 1,548,000 106,657 6,535,800 451,828 98,814,756 VN30
478 14 12/03/2025 MWG 63.00 63.00 62.70 63.00 61.90 62.32 -300 -0.48 8,817,600 549,495 1,457,000 90,613 10,274,600 640,108 91,635,060 VN30
479 15 12/03/2025 PLX 43.30 43.25 42.90 43.25 42.60 42.79 -400 -0.92 1,183,400 50,642 0 0 1,183,400 50,642 54,508,407 VN30
480 16 12/03/2025 SAB 51.20 51.00 51.10 51.50 51.00 51.22 -100 -0.20 1,576,300 80,737 157,000 7,815 1,733,300 88,552 65,538,937 VN30
481 17 12/03/2025 SHB 9.99 9.99 9.98 10.05 9.98 9.99 -10 -0.10 12,846,700 128,398 15,145,001 155,616 27,991,701 284,014 40,571,203 VN30
482 18 12/03/2025 SSB 19.80 19.80 19.85 19.90 19.55 19.74 50 0.25 1,620,700 31,985 9,430,000 196,144 11,050,700 228,129 56,473,250 VN30
483 19 12/03/2025 SSI 26.70 26.85 26.70 26.95 26.55 26.75 - - 26,789,200 716,537 5,095,000 142,537 31,884,200 859,074 52,381,994 VN30
484 20 12/03/2025 STB 39.90 40.00 39.75 40.05 39.30 39.70 -150 -0.38 10,908,500 433,084 1,404,200 59,889 12,312,700 492,973 74,937,325 VN30
485 21 12/03/2025 TCB 28.00 28.10 27.85 28.25 27.80 27.96 -150 -0.54 10,861,400 303,651 3,914,700 106,691 14,776,100 410,342 196,756,121 VN30
486 22 12/03/2025 TPB 16.25 16.25 16.15 16.30 16.10 16.18 -100 -0.62 8,865,400 143,427 5 0 8,865,405 143,427 42,667,593 VN30
487 23 12/03/2025 VCB 64.70 66.00 66.70 68.60 65.60 66.95 2,000 3.09 7,560,300 506,132 101,000 6,989 7,661,300 513,121 372,792,387 VN30
488 24 12/03/2025 VHM 45.50 45.40 46.95 47.30 45.40 46.67 1,450 3.19 15,641,200 729,974 0 0 15,641,200 729,974 192,842,994 VN30
489 25 12/03/2025 VIB 20.80 21.00 20.50 21.00 20.50 20.67 -300 -1.44 12,810,900 264,810 83,419 1,614 12,894,319 266,424 61,072,120 VN30
490 26 12/03/2025 VIC 47.30 47.35 48.10 48.25 47.35 48.00 800 1.69 7,003,400 336,186 0 0 7,003,400 336,186 183,918,121 VN30
491 27 12/03/2025 VJC 97.70 97.70 97.40 97.80 97.10 97.37 -300 -0.31 525,900 51,205 100,000 10,000 625,900 61,205 52,752,944 VN30
492 28 12/03/2025 VNM 62.40 62.50 62.20 62.80 62.20 62.43 -200 -0.32 2,755,400 172,009 0 0 2,755,400 172,009 129,995,229 VN30
493 29 12/03/2025 VPB 19.70 19.80 19.60 19.80 19.50 19.66 -100 -0.51 27,171,700 534,138 450,001 8,805 27,621,701 542,943 155,504,903 VN30
494 30 12/03/2025 VRE 18.20 18.20 18.30 18.45 18.15 18.32 100 0.55 11,789,600 215,955 1,425,000 27,645 13,214,600 243,600 41,583,427 VN30 
Accessing file: cafef_foreign_details_12-03-2024_to_12-03-2025.csv
cafef_foreign_details_12-03-2024_to_12-03-2025.csv
Symbol TradeDate BuyValue SellValue BuyVolume SellVolume Room TotalRoom Percent NetVolume NetValue BasicPrice ClosePrice AveragePrice Date Exchange
0 EIB /Date(1710176400000)/ 70993520000 250470000 3915700 13800 468965024 0 3.13 3901900 70743050000 0.00 0.00 0.00 12/03/2024 HOSE
1 VRE /Date(1710176400000)/ 90619740000 32896680000 3635300 1322200 450208352 0 29.67 2313100 57723060000 0.00 0.00 0.00 12/03/2024 HOSE
2 STB /Date(1710176400000)/ 92779725000 41159545000 3058000 1357800 111048472 0 24.11 1700200 51620180000 0.00 0.00 0.00 12/03/2024 HOSE
3 HAH /Date(1710176400000)/ 66075085000 1556355000 1519100 36400 27294636 0 4.13 1482700 64518730000 0.00 0.00 0.00 12/03/2024 HOSE
4 HCM /Date(1710176400000)/ 38598215000 11288530000 1383800 406000 33455340 0 42.65 977800 27309685000 0.00 0.00 0.00 12/03/2024 HOSE
Symbol TradeDate BuyValue SellValue BuyVolume SellVolume Room TotalRoom Percent NetVolume NetValue BasicPrice ClosePrice AveragePrice Date Exchange
489262 SSI /Date(1741712400000)/ 31556130000 85249360000 1181600 3192200 1210044418 0 38.38 -2010600 -53693230000 0.00 0.00 0.00 12/03/2025 HASTC
489263 VPB /Date(1741712400000)/ 9538440000 50186230000 487000 2557600 406965109 0 24.87 -2070600 -40647790000 0.00 0.00 0.00 12/03/2025 HASTC
489264 FPT /Date(1741712400000)/ 74590280000 369669650000 545200 2706300 71217375 0 44.16 -2161100 -295079370000 0.00 0.00 0.00 12/03/2025 HASTC
489265 TPB /Date(1741712400000)/ 7489440000 44616795000 462800 2760900 48417323 0 28.17 -2298100 -37127355000 0.00 0.00 0.00 12/03/2025 HASTC
489266 VIX /Date(1741712400000)/ 12807655000 50143030000 1043400 4105600 1376573985 0 5.62 -3062200 -37335375000 0.00 0.00 0.00 12/03/2025 HASTC 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 489267 entries, 0 to 489266
Data columns (total 16 columns):
 #   Column        Non-Null Count   Dtype  
---  ------        --------------   -----  
 0   Symbol        489267 non-null  object 
 1   TradeDate     489267 non-null  object 
 2   BuyValue      489267 non-null  int64  
 3   SellValue     489267 non-null  int64  
 4   BuyVolume     489267 non-null  int64  
 5   SellVolume    489267 non-null  int64  
 6   Room          489267 non-null  int64  
 7   TotalRoom     489267 non-null  int64  
 8   Percent       489267 non-null  float64
 9   NetVolume     489267 non-null  int64  
 10  NetValue      489267 non-null  int64  
 11  BasicPrice    489267 non-null  float64
 12  ClosePrice    489267 non-null  float64
 13  AveragePrice  489267 non-null  float64
 14  Date          489267 non-null  object 
 15  Exchange      489267 non-null  object 
dtypes: float64(4), int64(8), object(4)
memory usage: 59.7+ MB
None
Số giá trị bị rỗng:
Symbol          0
TradeDate       0
BuyValue        0
SellValue       0
BuyVolume       0
SellVolume      0
Room            0
TotalRoom       0
Percent         0
NetVolume       0
NetValue        0
BasicPrice      0
ClosePrice      0
AveragePrice    0
Date            0
Exchange        0
dtype: int64
Thống kê các giá trị:
BuyValue SellValue BuyVolume SellVolume Room TotalRoom Percent NetVolume NetValue BasicPrice ClosePrice AveragePrice
count 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00 489,267.00
mean 1,400,678,926.71 1,747,257,721.70 42,563.57 53,584.83 49,001,416.51 126.72 4.41 -11,021.26 -346,578,795.00 0.41 0.41 0.21
std 10,468,169,215.24 13,197,680,634.17 304,114.92 420,605.32 154,601,367.26 42,046.86 23.39 374,966.76 11,005,792,643.43 4.84 4.84 3.32
min 0.00 0.00 0.00 0.00 -1,501,712,808.00 0.00 0.00 -109,942,542.00 -1,627,241,121,600.00 0.00 0.00 0.00
25% 0.00 0.00 0.00 0.00 47,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
50% 0.00 0.00 0.00 0.00 5,734,759.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
75% 0.00 1,498,500.00 0.00 100.00 27,969,028.00 0.00 0.79 0.00 0.00 0.00 0.00 0.00
max 704,573,040,000.00 1,627,241,121,600.00 40,326,700.00 109,942,542.00 1,767,241,646.00 20,000,000.00 1,822.18 14,654,600.00 589,443,800,000.00 385.10 384.00 210.00 
Symbol           1644
TradeDate         446
BuyValue        52128
SellValue       56444
BuyVolume        9704
SellVolume      11114
Room            87644
TotalRoom           4
Percent         12075
NetVolume       15305
NetValue        69226
BasicPrice       1309
ClosePrice       1343
AveragePrice     3870
Date              249
Exchange            4
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Symbol:
['EIB', 'VRE', 'STB', 'HAH', 'HCM', 'OCB', 'VIC', 'GVR', 'NLG', 'SZC', 'AAA', 'CTG', 'KDH', 'VHM', 'FTS', 'IDI', 'FCN', 'HDB', 'VSC', 'VHC']..., số giá trị độc nhất: 1644
TradeDate:
['/Date(1710176400000)/', '/Date(1710262800000)/', '/Date(1710349200000)/', '/Date(1710435600000)/', '/Date(1710694800000)/', '/Date(1710781200000)/', '/Date(1710867600000)/', '/Date(1710954000000)/', '/Date(1711040400000)/', '/Date(1711299600000)/', '/Date(1711386000000)/', '/Date(1711472400000)/', '/Date(1711558800000)/', '/Date(1711645200000)/', '/Date(1711904400000)/', '/Date(1711990800000)/', '/Date(1712077200000)/', '/Date(1712163600000)/', '/Date(1712250000000)/', '/Date(1712509200000)/']..., số giá trị độc nhất: 446
BuyValue:
[70993520000, 90619740000, 92779725000, 66075085000, 38598215000, 13162050000, 43979810000, 23426855000, 50972520000, 30186035000, 7083250000, 34827015000, 30453170000, 46955880000, 32800890000, 6378830000, 8777650000, 38633655000, 9344760000, 31133310000]..., số giá trị độc nhất: 52128
SellValue:
[250470000, 32896680000, 41159545000, 1556355000, 11288530000, 935290000, 9839165000, 1229855000, 21704700000, 435750000, 179180000, 13886830000, 11236635000, 24532705000, 1543080000, 0, 1481035000, 28692840000, 192225000, 203840000]..., số giá trị độc nhất: 56444
BuyVolume:
[3915700, 3635300, 3058000, 1519100, 1383800, 903900, 990800, 748500, 1208800, 673200, 665400, 1014700, 832200, 1101100, 530900, 493700, 561900, 1696300, 437100, 413300]..., số giá trị độc nhất: 9704
SellVolume:
[13800, 1322200, 1357800, 36400, 406000, 64100, 222000, 40600, 514700, 9700, 16900, 406100, 306700, 575800, 25000, 0, 95500, 1265900, 9000, 2700]..., số giá trị độc nhất: 11114
Room:
[468965024, 450208352, 111048472, 27294636, 33455340, 2699649, 1390822780, 504915424, 12700265, 19088294, 353090976, 136519400, 91349620, 1218187650, 150586500, 107718480, 25642418, 5364863, 61654830, 152308816]..., số giá trị độc nhất: 87644
TotalRoom:
[0, 3500000, 20000000, 2000000]..., số giá trị độc nhất: 4
Percent:
[3.13, 29.67, 24.11, 4.13, 42.65, 21.87, 12.16, 0.38, 46.7, 4.09, 7.63, 27.46, 38.57, 22.02, 29.82, 1.68, 33.71, 19.82, 2.78, 32.14]..., số giá trị độc nhất: 12075
NetVolume:
[3901900, 2313100, 1700200, 1482700, 977800, 839800, 768800, 707900, 694100, 663500, 648500, 608600, 525500, 525300, 505900, 493700, 466400, 430400, 428100, 410600]..., số giá trị độc nhất: 15305
NetValue:
[70743050000, 57723060000, 51620180000, 64518730000, 27309685000, 12226760000, 34140645000, 22197000000, 29267820000, 29750285000, 6904070000, 20940185000, 19216535000, 22423175000, 31257810000, 6378830000, 7296615000, 9940815000, 9152535000, 30929470000]..., số giá trị độc nhất: 69226
BasicPrice:
[0.0, 0.01, 0.5, 33.0, 0.02, 10.9, 11.1, 7.9, 2.44, 4.4, 10.7, 13.8, 66.2, 11.3, 9.8, 0.1, 66.5, 0.09, 69.5, 0.07]..., số giá trị độc nhất: 1309
ClosePrice:
[0.0, 0.01, 0.3, 33.0, 0.02, 10.8, 7.9, 2.52, 4.29, 10.9, 13.8, 66.0, 11.3, 9.8, 0.09, 68.0, 0.08, 69.0, 11.0, 0.04]..., số giá trị độc nhất: 1343
AveragePrice:
[0.0, 0.0190647384045537, 0.0107648222668166, 0.0107555828307189, 2.5179856115107917, 4.480789200415368, 0.0109425888164507, 0.0135912887391017, 0.06328370554177, 0.0890092879256966, 0.0626126126126126, 0.0109, 0.0749002686640071, 0.0664882226980728, 0.0631391119346647, 0.069, 0.0109647058823529, 0.0783767308194722, 0.0587309910854745, 0.0577350427350427]..., số giá trị độc nhất: 3870
Date:
['12/03/2024', '13/03/2024', '14/03/2024', '15/03/2024', '18/03/2024', '19/03/2024', '20/03/2024', '21/03/2024', '22/03/2024', '25/03/2024', '26/03/2024', '27/03/2024', '28/03/2024', '29/03/2024', '01/04/2024', '02/04/2024', '03/04/2024', '04/04/2024', '05/04/2024', '08/04/2024']..., số giá trị độc nhất: 249
Exchange:
['HOSE', 'HNX', 'UPCOM', 'HASTC']..., số giá trị độc nhất: 4
Các bản ghi bị trùng:
Symbol TradeDate BuyValue SellValue BuyVolume SellVolume Room TotalRoom Percent NetVolume NetValue BasicPrice ClosePrice AveragePrice Date Exchange 
Accessing file: detail_industry_cashflow_processed.csv
detail_industry_cashflow_processed.csv
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
0 Chăm sóc sức khỏe Dòng tiền ngành 0.76% 0.61% 0.48% 2.00% 2.88% 1.23% 1.41% 2.65% 0.73% 0.48% 0.35% 0.93% 0.25% 0.32% 0.38% +1.03% +0.73% 0.55% 0.93% 0.23% 1.56% 3.40% 2.40% 1.38% 1.67% 0.72% 0.75% 0.32% 0.89% 0.26% 0.22% 0.42% +1.05% +0.75% 0.53% 0.49% 0.27% 1.79% 2.05% 0.84% 1.05% 1.90% 0.68% 1.43% 0.89% 0.98% 0.20% 0.25% 0.75% +0.94% +0.84% 0.90% 0.55% 0.65% 0.19% 1.65% 1.53% 1.35% 1.08% 1.26% 0.63% 1.10% 1.10% 0.72% 0.22% 0.22% 0.65% +0.86% +0.81% 1.02% 0.51% 0.36% 0.14% 0.96% 3.49% 1.39% 1.37% 0.86% 1.47% 1.30% 0.56% 0.52% 0.38% 0.24% 0.55% +0.94% +0.71% 0.71% 0.69% 0.31% 0.54% 1.19% 2.38% 1.32% 1.58% 1.04% 1.02% 0.94% 0.47% 0.58% 0.36% 0.21% 0.34% +0.89% +0.71% 0.75% 0.62% 0.22% 0.33% 1.17% 3.78% 1.46% 0.91% 0.74% 0.51% 1.04% 0.48% 0.62% 0.40% 0.21% +0.88% +0.62% 0.63% 0.66% 0.16% 0.29% 1.52% 3.27% 0.91% 1.34% 0.57% 0.36% 0.63% 0.51% 0.40% 0.66% 0.31% +0.81% +0.63% 1.05% 0.57% 0.12% 0.39% 2.45% 3.03% 1.47% 2.13% 0.69% 0.34% 0.81% 0.85% 0.30% 0.58% 0.40% +1.01% +0.69% 1.41% 0.74% 0.21% 1.01% 1.66% 1.93% 2.30% 2.15% 0.89% 0.33% 0.76% 0.71% 0.39% 0.54% 0.64% +1.04% +0.76% 1.64% 0.79% 0.39% 2.75% 1.51% 2.25% 1.73% 2.69% 0.93% 0.46% 1.02% 1.44% 0.41% 0.40% 0.36% +1.25% +1.02% 0.94% 0.56% 0.38% 2.38% 1.80% 1.66% 1.78% 2.66% 0.98% 0.65% 0.75% 1.36% 0.27% 0.25% 0.45% +1.13% +0.94% 0.83% 0.59% 0.35% 0.27% 1.20% 2.28% 1.35% 1.42% 1.09% 1.06% 1.10% 0.72% 0.61% 0.32% 0.22% 0.53% +0.89% +0.83% 0.79% 0.61% 0.17% 0.34% 1.63% 3.29% 1.31% 1.49% 0.67% 0.40% 0.81% 0.64% 0.46% 0.55% 0.31% +0.90% +0.64% 1.33% 0.66% 0.32% 1.99% 1.67% 1.97% 1.94% 2.50% 0.94% 0.47% 0.84% 1.19% 0.36% 0.39% 0.49% +1.14% +0.94% 0.59% 0.67% 0.33% 1.77% 2.80% 1.52% 1.28% 2.02% 0.71% 0.86% 0.59% 0.93% 0.23% 0.26% 0.51% +1.01% +0.71% 0.91% 0.65% 0.36% 0.10% 1.27% 0.99% 1.17% 2.00% 0.73% 1.31% 0.98% 0.33% 0.69% 0.31% 0.22% 0.34% +0.77% +0.71% 0.48% 0.91% 0.22% 0.19% 1.68% 1.87% 1.44% 1.06% 0.64% 1.18% 0.91% 0.41% 0.58% 0.33% 0.19% 0.33% +0.81% +0.64% 0.95% 0.53% 0.26% 1.24% 0.91% 3.14% 1.28% 1.21% 1.46% 0.71% 1.00% 0.56% 0.56% 0.41% 0.23% +0.96% +0.91% 0.61% 0.74% 0.35% 0.85% 1.10% 3.95% 1.18% 1.83% 1.70% 0.61% 0.94% 0.56% 0.56% 0.30% 0.20% +1.03% +0.74% 0.57% 0.79% 0.38% 0.39% 1.15% 4.35% 1.53% 1.18% 0.86% 0.54% 0.70% 0.49% 0.71% 0.31% 0.16% +0.94% +0.70% 0.65% 0.69% 0.21% 0.30% 1.17% 4.00% 1.79% 0.99% 0.81% 0.60% 0.94% 0.47% 0.68% 0.35% 0.26% +0.93% +0.68% 1.14% 0.71% 0.17% 0.32% 1.22% 3.42% 1.86% 0.58% 0.70% 0.42% 1.23% 0.63% 0.62% 0.48% 0.21% +0.91% +0.63% 0.72% 0.48% 0.20% 0.28% 1.14% 3.96% 1.30% 0.90% 0.54% 0.46% 1.05% 0.32% 0.54% 0.54% 0.25% +0.84% +0.54% 0.53% 0.50% 0.11% 0.31% 0.87% 2.97% 0.92% 1.11% 0.58% 0.27% 1.09% 0.42% 0.44% 1.10% 0.20% +0.76% +0.53% 0.50% 0.83% 0.12% 0.20% 1.12% 2.96% 0.90% 0.89% 0.58% 0.46% 0.64% 0.41% 0.37% 0.75% 0.28% +0.73% +0.58% 0.52% 0.08% 3.43% 0.95% 1.50% 0.64% 1.67% 0.20% 0.27% 0.46% +0.97% +0.58% 0.59% 0.62% 0.11% 0.30% 1.27% 4.54% 0.95% 0.96% 0.44% 0.32% 0.64% 0.27% 0.41% 0.58% 0.35% +0.82% +0.58% 0.75% 0.53% 0.33% 0.27% 1.68% 4.26% 0.94% 1.82% 0.41% 0.34% 0.66% 0.44% 0.34% 0.52% 0.35% +0.91% +0.52% 0.87% 0.71% 0.17% 0.35% 2.02% 1.88% 0.99% 2.02% 0.77% 0.37% 0.58% 0.81% 0.49% 0.61% 0.26% +0.86% +0.71% 0.96% 0.38% 0.13% 0.40% 2.71% 2.62% 0.90% 1.71% 0.90% 0.30% 0.71% 0.78% 0.33% 0.54% 0.28% +0.91% +0.71% 1.07% 0.45% 0.08% 0.37% 2.59% 3.41% 1.21% 1.76% 0.42% 0.51% 0.74% 0.68% 0.32% 0.73% 0.36% +0.98% +0.68% 0.72% 0.28% 0.13% 0.41% 2.59% 3.30% 1.41% 3.26% 0.73% 0.28% 1.03% 1.01% 0.33% 0.58% 0.54% +1.11% +0.72% 1.26% 1.05% 0.15% 0.40% 2.02% 2.70% 1.60% 1.82% 0.74% 0.29% 0.83% 1.05% 0.28% 0.47% 0.45% +1.01% +0.83% 1.09% 1.21% 0.16% 0.43% 1.34% 2.45% 1.99% 1.49% 1.23% 0.35% 0.78% 0.79% 0.28% 0.39% 0.53% +0.97% +0.79% 1.23% 0.66% 0.25% 0.55% 1.63% 1.88% 2.37% 2.40% 0.88% 0.34% 0.65% 0.80% 0.24% 0.44% 0.46% +0.98% +0.66% 1.62% 0.77% 0.12% 0.41% 1.79% 2.10% 2.51% 2.35% 0.84% 0.25% 0.83% 0.52% 0.33% 0.64% 1.01% +1.07% +0.83% 0.92% 0.82% 0.81% 0.21% 2.19% 1.95% 1.04% 1.14% 1.34% 0.65% 1.20% 1.38% 0.88% 0.18% 0.21% 0.68% +0.97% +0.90% 1.23% 0.95% 0.26% 1.41% 1.87% 1.68% 2.08% 2.24% 0.67% 0.37% 0.77% 0.79% 0.56% 0.65% 0.57% +1.07% +0.79% 1.77% 0.59% 0.63% 3.70% 1.82% 1.92% 2.21% 2.29% 0.72% 0.45% 0.78% 0.63% 0.42% 0.47% 0.44% +1.26% +0.72% 1.49% 0.78% 0.39% 3.83% 1.60% 2.51% 1.77% 2.69% 1.18% 0.38% 0.92% 0.90% 0.48% 0.47% 0.32% +1.31% +0.92% 1.35% 0.94% 0.50% 3.25% 1.50% 1.94% 1.33% 2.39% 0.70% 0.32% 0.87% 0.96% 0.49% 0.38% 0.37% +1.15% +0.94% 2.32% 0.94% 0.30% 2.23% 1.17% 1.92% 2.17% 3.06% 1.01% 0.28% 1.36% 1.88% 0.33% 0.37% 0.39% +1.32% +1.17% 1.95% 0.76% 0.28% 2.02% 1.67% 2.60% 1.86% 3.05% 1.00% 0.82% 0.99% 1.75% 0.37% 0.31% 0.35% +1.32% +1.00% 1.01% 0.49% 0.37% 2.14% 1.42% 1.93% 1.28% 2.45% 1.11% 0.43% 0.84% 1.78% 0.39% 0.34% 0.44% +1.09% +1.01% 0.69% 0.70% 0.39% 2.06% 1.17% 1.65% 2.08% 2.10% 0.91% 0.97% 0.93% 1.76% 0.28% 0.23% 0.54% +1.10% +0.93% 0.76% 0.33% 0.32% 1.83% 1.71% 1.42% 1.91% 2.72% 0.90% 0.38% 0.78% 1.51% 0.27% 0.19% 0.51% +1.04% +0.78% 1.23% 0.66% 0.49% 3.26% 2.39% 1.78% 1.56% 3.43% 1.05% 0.78% 0.66% 1.03% 0.27% 0.25% 0.35% +1.28% +1.03% 0.86% 0.43% 0.67% 0.19% 1.39% 1.18% 0.99% 1.12% 0.96% 0.82% 0.84% 1.24% 0.84% 0.25% 0.18% 0.73% +0.79% +0.84% 1.25% 0.75% 0.53% 1.84% 2.73% 1.58% 1.66% 2.10% 0.95% 0.69% 0.48% 0.86% 0.27% 0.22% 0.28% +1.08% +0.86% 0.99% 0.67% 0.47% 1.89% 2.84% 1.33% 1.46% 1.18% 0.72% 0.61% 0.45% 0.96% 0.27% 0.48% 0.38% +0.98% +0.72% 0.62% 0.54% 0.24% 1.85% 2.47% 1.30% 1.42% 3.22% 0.62% 0.44% 0.29% 0.72% 0.21% 0.31% 0.42% +0.98% +0.62% 0.43% 0.72% 0.90% 1.88% 3.86% 0.80% 1.61% 3.75% 0.62% 0.29% 0.34% 1.16% 0.19% 0.26% 0.47% +1.15% +0.72% 0.56% 0.60% 0.31% 3.00% 2.91% 1.42% 1.23% 3.12% 0.57% 0.35% 0.31% 0.92% 0.32% 0.28% 0.37% +1.08% +0.57% 0.41% 1.05% 0.18% 2.53% 3.58% 1.17% 1.12% 1.07% 1.05% 0.51% 0.35% 0.78% 0.20% 0.20% 0.37% +0.97% +0.78% 0.45% 1.06% 0.21% 1.40% 3.32% 2.58% 0.90% 1.81% 0.58% 1.07% 0.37% 0.94% 0.25% 0.23% 0.33% +1.03% +0.90% 0.52% 1.07% 0.24% 1.12% 3.54% 3.82% 0.93% 1.86% 0.66% 0.74% 0.27% 0.97% 0.30% 0.22% 0.35% +1.11% +0.74% 0.53% 0.37% 0.30% 1.34% 3.15% 1.97% 2.16% 1.41% 0.66% 0.80% 0.31% 0.83% 0.25% 0.22% 0.71% +1.00% +0.71% 0.80% 0.60% 0.26% 1.17% 2.23% 1.42% 1.70% 1.60% 0.58% 0.72% 0.42% 1.03% 0.23% 0.17% 0.69% +0.91% +0.72% 0.84% 0.48% 0.22% 1.20% 1.42% 1.99% 1.07% 1.61% 0.64% 0.69% 1.34% 0.63% 0.19% 0.21% 0.64% +0.88% +0.69% 0.46% 0.44% 0.29% 1.24% 1.64% 1.00% 1.35% 1.92% 0.61% 1.16% 0.66% 0.70% 0.21% 0.24% 0.80% +0.85% +0.70% 0.39% 0.59% 0.28% 1.93% 1.22% 0.58% 0.96% 1.84% 0.68% 1.60% 0.65% 1.05% 0.13% 0.39% 0.74% +0.87% +0.68% 0.58% 0.30% 0.25% 2.62% 3.29% 0.67% 0.71% 2.07% 0.91% 1.94% 1.00% 1.00% 0.21% 0.30% 0.85% +1.11% +0.85% 0.68% 0.55% 2.50% 2.95% 0.95% 0.86% 2.70% 1.66% 1.10% 0.31% 0.52% +1.34% +0.95% 1.00% 0.55% 0.40% 0.20% 1.28% 1.60% 1.35% 0.87% 1.02% 0.33% 1.35% 0.43% 0.43% 0.23% 0.20% +0.75% +0.55% 0.76% 0.24% 0.18% 1.07% 3.39% 1.16% 0.82% 0.97% 1.28% 0.75% 0.42% 0.14% 0.49% +0.90% +0.76% 0.86% 0.64% 0.69% 1.09% 4.25% 1.19% 0.75% 0.50% 1.29% 0.53% 0.38% 0.29% 0.13% 0.62% +0.94% +0.67% 0.47% 0.34% 0.12% 1.09% 1.59% 1.50% 0.65% 1.58% 1.44% 0.49% 0.49% 0.39% 0.28% 0.66% +0.79% +0.57% 1.46% 0.40% 0.32% 0.15% 0.68% 2.79% 1.36% 2.44% 0.65% 2.36% 1.21% 0.45% 0.55% 0.69% 0.30% 0.43% +1.01% +0.67%
1 Công nghiệp Dòng tiền ngành 25.57% 16.98% 10.28% 13.74% 12.97% 13.62% 16.16% 18.64% 10.99% 24.41% 6.74% 10.31% 7.82% 11.58% 6.81% +13.77% +12.97% 23.79% 14.40% 11.89% 17.43% 11.54% 12.64% 22.70% 16.56% 13.59% 24.81% 7.53% 10.37% 5.93% 10.02% 9.00% +14.15% +12.64% 21.11% 13.55% 13.46% 16.82% 11.82% 10.04% 21.13% 17.50% 15.94% 27.28% 9.08% 13.42% 7.04% 9.70% 9.52% +14.49% +13.46% 24.45% 18.66% 11.63% 13.33% 12.45% 11.97% 11.87% 22.16% 13.64% 17.24% 11.19% 8.82% 12.47% 9.50% 10.00% 11.11% +13.78% +12.21% 19.57% 17.72% 13.65% 15.18% 15.43% 11.41% 10.05% 24.49% 12.42% 13.71% 7.97% 8.21% 11.24% 9.56% 9.47% 11.39% +13.22% +11.91% 23.09% 20.81% 14.65% 14.84% 14.72% 14.49% 11.31% 30.10% 11.48% 16.37% 7.73% 8.96% 13.10% 8.91% 9.09% 8.94% +14.64% +14.49% 29.33% 19.55% 15.46% 11.21% 13.89% 14.48% 12.18% 32.71% 10.96% 20.47% 9.90% 7.58% 11.36% 9.43% 8.24% +15.12% +12.18% 29.52% 15.32% 14.56% 11.98% 12.03% 15.31% 9.36% 30.28% 8.54% 18.76% 7.99% 5.70% 10.59% 11.38% 10.39% +14.11% +11.98% 29.96% 18.86% 15.34% 11.18% 11.35% 15.63% 11.76% 19.59% 8.70% 21.04% 10.71% 5.48% 10.51% 10.84% 11.79% +14.18% +11.76% 29.78% 15.34% 14.88% 7.62% 11.34% 12.50% 12.80% 16.89% 8.07% 18.33% 8.77% 5.18% 9.80% 11.23% 10.01% +12.84% +11.34% 28.80% 17.36% 10.79% 8.57% 12.04% 13.20% 14.33% 16.39% 9.87% 20.93% 8.28% 8.12% 9.54% 10.70% 7.63% +13.10% +10.79% 27.23% 17.51% 9.94% 11.64% 13.69% 12.94% 13.78% 21.34% 10.48% 23.15% 7.85% 10.94% 11.18% 11.46% 6.49% +13.97% +11.64% 23.08% 19.22% 14.07% 14.26% 14.50% 13.02% 11.19% 26.77% 12.57% 15.78% 8.64% 8.74% 12.43% 9.31% 9.46% 10.73% +14.20% +13.02% 29.57% 18.03% 15.06% 11.48% 12.61% 15.24% 11.19% 27.33% 9.57% 20.01% 9.62% 6.13% 10.89% 10.62% 10.19% +14.50% +11.48% 28.67% 17.07% 12.03% 9.09% 12.56% 12.83% 13.62% 18.05% 9.53% 20.68% 8.25% 8.08% 10.11% 11.10% 8.22% +13.33% +12.03% 22.75% 15.06% 12.03% 16.14% 12.17% 12.19% 20.05% 17.46% 13.15% 25.44% 8.01% 11.39% 6.91% 10.42% 8.33% +14.10% +12.19% 22.42% 20.24% 13.56% 15.43% 15.91% 20.26% 10.63% 34.84% 11.69% 16.29% 7.87% 8.35% 10.67% 9.31% 8.67% 8.69% +14.68% +12.62% 24.23% 20.11% 13.46% 17.13% 14.90% 14.49% 12.78% 33.04% 11.29% 15.91% 7.20% 9.56% 12.22% 7.90% 9.61% 9.40% +14.92% +13.46% 21.89% 20.82% 16.45% 11.77% 15.12% 9.85% 10.86% 25.74% 10.72% 15.78% 8.43% 9.33% 14.97% 8.44% 9.33% +13.97% +11.77% 23.21% 22.10% 15.95% 14.05% 13.79% 10.00% 10.36% 26.59% 12.75% 17.73% 7.60% 8.94% 14.88% 9.15% 8.36% +14.37% +13.79% 24.51% 19.95% 14.76% 11.80% 12.96% 11.17% 12.62% 29.28% 13.23% 20.13% 9.04% 7.79% 12.65% 10.31% 9.11% +14.62% +12.65% 29.75% 19.39% 15.15% 10.18% 12.43% 15.99% 12.28% 32.34% 10.98% 20.90% 10.68% 8.24% 11.75% 9.30% 7.99% +15.16% +12.28% 31.44% 18.82% 15.27% 10.19% 15.23% 13.38% 13.70% 36.80% 10.14% 20.37% 10.10% 8.16% 10.57% 8.51% 7.88% +15.37% +13.38% 31.18% 19.12% 16.54% 13.25% 12.00% 16.45% 11.85% 32.08% 8.58% 20.46% 9.51% 6.97% 11.67% 9.17% 7.55% +15.09% +12.00% 25.79% 20.30% 15.51% 12.05% 19.47% 14.45% 10.32% 31.02% 8.24% 18.58% 8.64% 6.87% 10.76% 9.47% 9.40% +14.72% +12.05% 28.22% 17.89% 15.55% 14.23% 9.85% 14.53% 9.22% 33.25% 9.62% 18.87% 8.10% 6.07% 12.04% 10.22% 9.85% +14.50% +12.04% 12.35% 14.08% 15.29% 22.10% 14.83% 18.82% 18.38% 9.91% 9.60% 10.08% +14.54% +14.46% 31.03% 15.29% 14.48% 11.98% 11.77% 16.58% 9.96% 33.70% 8.70% 19.06% 8.27% 5.81% 10.31% 10.45% 9.79% +14.48% +11.77% 29.07% 15.30% 12.93% 10.69% 13.86% 14.99% 8.86% 26.00% 8.80% 18.83% 7.81% 5.77% 9.83% 13.35% 10.33% +13.76% +12.93% 29.11% 14.33% 12.24% 11.83% 12.90% 15.35% 9.13% 27.59% 7.09% 18.29% 7.79% 5.51% 10.32% 11.66% 11.73% +13.66% +11.83% 31.14% 16.33% 14.18% 11.49% 11.72% 19.64% 10.36% 20.70% 8.22% 20.40% 10.55% 4.82% 11.67% 10.30% 12.17% +14.25% +11.72% 27.67% 20.60% 17.95% 11.38% 11.01% 20.38% 10.76% 18.41% 10.33% 21.08% 11.45% 5.01% 11.57% 9.95% 12.31% +14.66% +11.57% 30.78% 19.24% 15.34% 11.61% 11.41% 13.53% 10.44% 16.79% 8.34% 20.80% 9.73% 5.97% 9.82% 11.88% 11.22% +13.79% +11.61% 30.08% 18.90% 14.16% 10.02% 11.33% 10.08% 12.97% 18.48% 8.30% 21.82% 11.07% 6.37% 9.79% 11.32% 11.33% +13.73% +11.33% 30.63% 16.95% 15.51% 8.79% 11.78% 11.52% 13.73% 15.98% 6.86% 18.77% 10.36% 5.24% 9.52% 10.67% 10.60% +13.13% +11.52% 30.37% 16.60% 14.63% 8.35% 11.99% 12.71% 14.81% 17.35% 8.89% 20.13% 8.09% 4.66% 9.26% 10.81% 10.85% +13.30% +11.99% 29.48% 14.49% 14.33% 7.12% 11.24% 15.14% 12.54% 17.46% 7.97% 16.46% 9.06% 5.20% 9.90% 10.85% 9.80% +12.74% +11.24% 24.07% 21.78% 10.80% 11.28% 12.92% 13.09% 13.56% 22.03% 12.94% 19.72% 12.32% 8.49% 14.09% 9.35% 10.30% 9.92% +14.17% +12.93% 30.40% 15.54% 15.88% 6.42% 10.85% 10.83% 11.89% 17.04% 8.02% 18.46% 9.04% 5.18% 9.80% 12.57% 8.98% +12.73% +10.85% 28.67% 14.09% 12.56% 9.33% 10.64% 10.76% 11.22% 15.51% 9.43% 19.16% 7.90% 5.96% 10.33% 12.22% 9.19% +12.47% +10.76% 28.45% 14.76% 12.53% 8.65% 10.85% 10.84% 13.52% 16.04% 8.76% 20.68% 8.67% 6.49% 9.63% 10.94% 8.10% +12.59% +10.85% 29.89% 15.55% 9.92% 9.59% 11.68% 10.97% 14.52% 14.35% 9.65% 20.40% 8.20% 8.82% 10.31% 10.20% 7.65% +12.78% +10.31% 28.83% 17.91% 10.86% 8.24% 12.17% 15.04% 15.38% 16.42% 10.18% 22.17% 8.16% 7.42% 10.13% 9.12% 7.72% +13.32% +10.86% 28.74% 18.11% 8.98% 7.70% 12.88% 15.98% 13.66% 20.85% 11.20% 20.61% 8.09% 8.67% 9.07% 10.76% 6.31% +13.44% +11.20% 27.41% 18.71% 10.05% 9.59% 13.60% 10.12% 14.04% 24.61% 9.80% 23.98% 7.97% 11.09% 7.89% 11.28% 6.70% +13.79% +11.09% 29.63% 18.08% 11.05% 10.89% 13.08% 13.74% 14.04% 23.07% 8.87% 21.91% 7.58% 10.64% 9.45% 11.63% 6.54% +14.01% +11.63% 27.30% 18.64% 9.20% 12.01% 13.12% 11.42% 13.24% 18.47% 9.91% 23.90% 8.26% 11.84% 10.75% 11.34% 6.42% +13.72% +11.84% 25.96% 15.55% 9.42% 12.66% 15.68% 14.39% 13.24% 19.23% 12.70% 23.13% 7.68% 11.15% 12.69% 11.56% 6.49% +14.10% +12.70% 25.39% 20.07% 12.22% 15.54% 12.71% 12.07% 11.17% 22.04% 14.27% 18.38% 11.51% 9.07% 12.88% 8.92% 9.26% 13.53% +14.31% +12.80% 23.94% 16.87% 7.96% 11.39% 14.12% 13.96% 14.65% 17.99% 10.62% 21.95% 8.11% 9.10% 12.33% 12.06% 6.15% +13.41% +12.33% 24.79% 16.49% 11.32% 12.94% 14.76% 15.54% 13.48% 17.22% 9.76% 25.14% 9.09% 10.51% 9.24% 12.49% 6.84% +13.97% +12.94% 24.84% 18.22% 10.18% 14.03% 13.11% 12.39% 15.37% 20.02% 12.99% 23.83% 6.70% 9.91% 7.42% 12.26% 6.45% +13.85% +12.99% 26.92% 16.05% 10.64% 16.20% 10.44% 13.11% 17.24% 19.47% 11.31% 25.67% 5.31% 10.26% 7.85% 9.98% 6.32% +13.78% +11.31% 26.30% 16.60% 11.05% 14.62% 10.81% 13.01% 19.08% 18.05% 11.57% 24.96% 5.23% 10.91% 7.01% 10.23% 8.95% +13.89% +11.57% 23.52% 15.89% 8.94% 18.38% 12.23% 14.66% 20.60% 18.25% 12.18% 23.03% 5.89% 9.99% 6.06% 10.79% 9.17% +13.97% +12.23% 21.99% 15.35% 12.37% 17.00% 11.46% 13.85% 17.77% 16.79% 13.28% 23.98% 7.83% 10.40% 6.39% 9.34% 9.47% +13.82% +13.28% 22.13% 14.00% 13.05% 17.89% 10.70% 12.18% 22.80% 15.85% 14.46% 24.23% 8.45% 11.51% 5.95% 10.07% 9.02% +14.15% +13.05% 25.58% 14.14% 15.67% 16.30% 11.95% 10.82% 28.88% 15.10% 15.43% 29.11% 7.12% 9.13% 5.82% 9.46% 8.25% +14.85% +14.14% 25.41% 13.35% 15.15% 16.47% 13.20% 9.90% 23.58% 16.64% 13.11% 27.52% 8.70% 12.10% 5.69% 9.43% 8.69% +14.60% +13.20% 25.30% 17.13% 13.32% 11.35% 12.85% 11.24% 22.76% 12.46% 15.98% 8.32% 8.75% 11.07% 10.07% 9.74% 10.65% +13.40% +11.35% 22.88% 15.20% 14.21% 16.39% 11.78% 9.22% 21.75% 18.94% 15.82% 28.28% 9.87% 11.59% 6.79% 8.99% 8.80% +14.70% +14.21% 19.36% 12.49% 12.61% 18.66% 10.10% 10.89% 21.24% 17.70% 15.89% 30.25% 8.58% 13.95% 7.93% 9.09% 9.36% +14.54% +12.61% 18.32% 13.05% 13.07% 16.39% 12.18% 9.26% 21.16% 17.03% 19.91% 26.49% 8.77% 14.01% 6.86% 11.44% 11.36% +14.62% +13.07% 21.17% 13.25% 14.87% 12.79% 10.83% 17.88% 15.78% 9.63% 14.25% 7.34% 9.05% +13.35% +13.25% 22.69% 16.53% 12.07% 12.88% 11.81% 10.23% 11.42% 20.83% 14.16% 12.93% 7.39% 8.98% 11.35% 9.60% 10.95% +12.92% +11.81% 22.51% 12.81% 14.82% 14.25% 10.69% 11.99% 22.85% 12.47% 7.73% 9.11% 8.33% 10.36% 12.16% +13.08% +12.16% 19.36% 15.21% 12.77% 16.32% 11.72% 22.95% 14.95% 12.92% 9.09% 7.57% 10.40% 10.00% 10.46% 12.29% +13.29% +12.53% 17.78% 14.42% 14.70% 15.05% 9.53% 25.45% 11.33% 13.01% 8.10% 7.59% 11.77% 10.31% 9.52% 11.59% +12.87% +11.68% 16.27% 19.20% 13.69% 16.95% 15.37% 11.87% 9.03% 31.41% 10.86% 15.77% 7.20% 8.07% 11.75% 10.14% 8.77% 9.98% +13.52% +11.81%
2 Nguyên vật liệu Dòng tiền ngành 14.68% 10.21% 15.93% 11.51% 10.36% 12.32% 21.15% 13.80% 12.80% 8.75% 15.28% 18.89% 16.05% 12.17% 10.54% +13.63% +12.80% 13.56% 9.63% 14.59% 10.75% 10.04% 13.17% 18.64% 12.09% 11.64% 8.65% 20.37% 14.59% 14.96% 11.73% 11.59% +13.07% +12.09% 10.47% 9.02% 12.87% 9.67% 10.99% 11.79% 17.08% 12.48% 11.09% 9.71% 14.65% 11.82% 12.81% 11.98% 13.05% +11.97% +11.82% 11.93% 12.93% 9.39% 12.37% 10.09% 10.98% 11.94% 16.87% 10.79% 11.41% 11.56% 12.39% 10.10% 14.26% 11.68% 10.93% +11.85% +11.62% 14.17% 11.00% 10.07% 12.98% 9.58% 9.51% 10.91% 18.67% 11.62% 11.79% 10.46% 14.22% 12.96% 15.75% 12.05% 13.52% +12.45% +11.92% 13.24% 10.88% 10.17% 14.31% 10.04% 8.45% 16.59% 12.67% 9.52% 11.81% 10.35% 12.49% 18.96% 14.99% 11.37% 11.63% +12.39% +11.81% 13.94% 10.18% 11.45% 14.99% 10.82% 11.05% 19.26% 12.85% 7.91% 11.67% 11.96% 12.85% 15.41% 11.16% 9.82% +12.35% +11.67% 12.53% 9.27% 14.32% 12.34% 10.36% 9.78% 19.03% 12.37% 10.76% 10.66% 15.14% 14.55% 16.37% 11.72% 12.45% +12.78% +12.37% 13.80% 8.39% 11.73% 11.65% 11.31% 8.85% 20.64% 14.77% 13.02% 11.51% 15.24% 12.55% 15.41% 13.33% 13.78% +13.07% +13.02% 12.82% 10.11% 12.79% 11.40% 12.16% 10.44% 24.18% 16.43% 11.64% 12.55% 18.27% 14.34% 13.46% 12.48% 13.36% +13.76% +12.79% 12.10% 9.15% 14.60% 13.99% 9.75% 10.85% 20.77% 13.68% 9.74% 10.89% 18.12% 15.14% 14.85% 10.59% 12.31% +13.10% +12.31% 14.39% 10.73% 15.56% 11.78% 8.46% 11.62% 19.11% 15.03% 11.94% 8.94% 16.93% 18.76% 16.17% 12.00% 12.69% +13.61% +12.69% 12.89% 11.63% 10.07% 13.05% 9.90% 9.55% 13.82% 15.46% 10.52% 11.70% 10.68% 12.85% 14.45% 15.05% 11.64% 12.36% +12.22% +11.70% 13.41% 9.13% 12.70% 12.78% 10.81% 9.68% 19.73% 13.31% 10.23% 11.24% 14.37% 13.28% 15.68% 12.29% 12.08% +12.72% +12.70% 13.11% 10.13% 14.19% 12.39% 9.82% 10.85% 21.44% 15.01% 11.05% 10.89% 17.69% 16.02% 14.86% 11.60% 12.81% +13.46% +12.81% 12.14% 9.64% 14.30% 10.56% 10.44% 12.45% 18.92% 12.70% 11.98% 9.01% 16.40% 14.76% 14.43% 11.95% 11.65% +12.76% +12.14% 13.75% 10.42% 10.67% 14.16% 8.93% 7.06% 12.80% 12.77% 11.96% 12.14% 7.89% 15.11% 19.76% 17.38% 11.77% 12.08% +12.42% +12.11% 13.56% 12.19% 9.55% 14.27% 10.23% 7.47% 16.02% 12.01% 7.95% 11.55% 10.72% 12.82% 20.21% 15.77% 12.15% 10.78% +12.43% +12.15% 12.48% 9.34% 10.00% 15.19% 9.97% 10.35% 15.44% 10.87% 7.94% 11.73% 10.74% 10.60% 18.88% 12.71% 11.53% +11.85% +10.87% 12.80% 11.29% 10.41% 13.75% 10.89% 9.38% 18.37% 13.69% 9.93% 11.68% 11.38% 12.56% 18.02% 13.69% 9.95% +12.52% +11.68% 14.58% 11.53% 8.57% 14.32% 10.37% 10.87% 19.67% 14.09% 8.30% 11.18% 11.00% 10.95% 17.28% 12.01% 10.46% +12.35% +11.18% 16.61% 11.20% 10.46% 14.64% 13.52% 10.71% 20.53% 12.80% 7.96% 12.10% 9.18% 10.03% 13.98% 10.16% 8.99% +12.19% +11.20% 12.78% 10.69% 12.38% 15.90% 10.13% 12.37% 19.31% 11.62% 7.75% 12.17% 11.56% 13.09% 15.96% 10.39% 9.83% +12.40% +12.17% 12.30% 9.39% 13.22% 15.96% 9.60% 9.96% 20.19% 13.05% 7.43% 11.30% 14.22% 15.28% 16.54% 12.02% 9.69% +12.68% +12.30% 13.72% 9.52% 17.79% 16.40% 7.62% 10.54% 17.56% 11.77% 9.07% 12.99% 14.56% 13.70% 16.04% 10.71% 9.74% +12.78% +12.99% 13.38% 10.48% 14.69% 11.24% 9.94% 10.41% 24.31% 11.23% 9.75% 10.70% 14.30% 15.02% 17.02% 12.85% 13.52% +13.26% +12.85% 9.34% 12.83% 9.00% 18.46% 10.06% 13.55% 10.92% 12.67% 10.75% 11.91% +11.95% +11.42% 12.14% 9.29% 12.83% 12.31% 9.69% 10.58% 19.98% 11.45% 10.52% 9.37% 12.71% 15.68% 15.84% 10.67% 12.69% +12.38% +12.14% 12.33% 8.69% 13.04% 13.02% 10.84% 9.23% 15.99% 12.78% 11.38% 9.22% 15.82% 14.62% 15.97% 11.36% 12.61% +12.46% +12.61% 12.04% 9.38% 13.40% 11.99% 11.01% 9.31% 16.60% 15.14% 12.67% 12.83% 17.54% 12.78% 17.46% 12.31% 11.87% +13.09% +12.67% 12.88% 9.28% 13.05% 11.93% 10.67% 8.20% 22.40% 16.94% 12.81% 14.40% 13.98% 12.57% 15.76% 13.89% 14.15% +13.53% +13.05% 13.22% 8.91% 10.97% 12.19% 10.76% 8.86% 18.67% 15.17% 12.75% 11.85% 14.60% 11.94% 15.73% 13.07% 11.87% +12.70% +12.19% 14.92% 7.95% 10.62% 11.40% 13.07% 8.58% 21.00% 12.85% 14.12% 10.85% 13.78% 12.99% 15.80% 13.21% 14.93% +13.07% +13.07% 13.32% 7.42% 10.85% 10.94% 10.03% 8.47% 20.00% 14.52% 12.50% 9.31% 18.36% 12.92% 14.92% 13.70% 14.44% +12.78% +12.92% 14.30% 8.40% 10.98% 11.17% 12.14% 10.18% 22.65% 16.65% 11.93% 11.52% 19.65% 13.76% 13.40% 14.74% 12.50% +13.60% +12.50% 14.21% 9.11% 11.44% 11.44% 12.49% 7.62% 23.45% 16.23% 12.54% 13.66% 19.64% 13.43% 12.93% 12.67% 16.06% +13.80% +12.93% 12.19% 10.35% 12.79% 11.30% 12.50% 9.66% 23.04% 18.02% 10.39% 11.48% 16.98% 14.59% 13.68% 11.49% 11.96% +13.36% +12.19% 11.25% 11.37% 8.31% 12.27% 8.53% 11.97% 11.21% 17.56% 10.66% 8.95% 10.89% 11.60% 10.66% 13.77% 10.69% 11.92% +11.35% +11.23% 12.36% 10.63% 15.08% 11.24% 11.83% 13.70% 24.39% 13.95% 12.27% 13.43% 17.66% 15.23% 13.44% 11.28% 12.28% +13.92% +13.43% 12.22% 11.39% 14.41% 13.01% 10.92% 12.65% 26.26% 15.00% 10.44% 13.03% 17.59% 14.97% 14.24% 11.62% 12.99% +14.05% +13.01% 12.27% 9.03% 16.19% 15.81% 9.22% 12.32% 23.60% 12.31% 8.32% 11.31% 20.85% 14.83% 14.87% 10.87% 11.89% +13.58% +12.31% 11.46% 10.60% 13.73% 14.82% 9.27% 12.23% 20.61% 15.55% 9.47% 12.14% 18.02% 14.70% 15.67% 10.81% 13.50% +13.50% +13.50% 11.36% 8.31% 14.69% 14.02% 9.52% 10.35% 19.12% 13.63% 8.70% 9.09% 18.93% 14.83% 15.02% 10.03% 13.05% +12.71% +13.05% 12.98% 8.63% 13.37% 11.83% 10.61% 9.49% 21.87% 12.97% 12.06% 9.76% 16.12% 14.98% 13.27% 9.89% 10.95% +12.59% +12.06% 14.32% 8.99% 19.17% 9.67% 11.66% 10.32% 17.68% 16.92% 10.85% 10.60% 16.27% 18.02% 15.71% 12.35% 13.01% +13.70% +13.01% 14.82% 9.97% 15.69% 15.06% 8.79% 10.71% 20.81% 15.32% 10.75% 9.30% 16.67% 19.34% 18.18% 11.42% 13.09% +14.00% +14.82% 14.38% 11.17% 14.68% 10.07% 7.25% 10.11% 19.17% 15.54% 12.83% 8.34% 18.01% 18.45% 17.89% 12.70% 12.86% +13.56% +12.86% 11.45% 11.01% 12.90% 13.12% 7.96% 13.87% 17.67% 13.27% 12.60% 8.23% 15.71% 17.40% 14.47% 11.60% 11.77% +12.87% +12.90% 13.17% 10.79% 9.89% 12.00% 10.24% 10.16% 11.12% 17.14% 10.85% 10.93% 12.68% 10.89% 9.85% 15.94% 10.72% 10.66% +11.69% +10.87% 17.22% 11.53% 16.20% 11.54% 8.51% 12.74% 19.46% 15.17% 14.14% 8.61% 17.47% 21.16% 13.58% 12.70% 12.53% +14.17% +13.58% 15.55% 10.97% 15.74% 12.33% 11.00% 10.39% 25.83% 13.53% 13.23% 8.90% 14.94% 20.33% 14.96% 12.86% 11.33% +14.13% +13.23% 15.84% 10.03% 14.18% 11.34% 10.94% 12.88% 21.72% 13.59% 11.70% 7.99% 14.67% 17.38% 15.73% 12.51% 9.80% +13.35% +12.88% 14.08% 8.94% 18.12% 10.69% 11.06% 12.41% 18.39% 12.99% 11.89% 9.43% 14.22% 19.46% 16.98% 10.90% 9.30% +13.26% +12.41% 12.77% 10.72% 15.29% 11.82% 9.37% 13.74% 17.82% 12.99% 12.52% 8.57% 16.90% 18.11% 15.78% 11.28% 9.88% +13.17% +12.77% 15.63% 10.11% 15.12% 10.51% 10.77% 13.39% 15.95% 11.41% 10.74% 9.47% 21.19% 15.75% 17.37% 11.59% 10.22% +13.28% +11.59% 11.88% 9.70% 13.05% 9.33% 8.66% 12.86% 24.12% 12.33% 11.87% 9.26% 18.14% 16.32% 15.74% 12.28% 13.55% +13.27% +12.33% 13.38% 9.50% 13.32% 11.83% 10.02% 12.31% 20.70% 12.03% 11.29% 8.39% 19.33% 16.24% 15.38% 11.24% 10.44% +13.03% +12.03% 14.86% 9.57% 18.46% 10.66% 10.97% 14.35% 15.85% 12.31% 11.64% 7.48% 23.75% 11.31% 13.65% 12.01% 12.11% +13.26% +12.11% 11.91% 8.42% 15.22% 10.38% 12.44% 11.81% 16.19% 13.39% 10.43% 9.54% 15.54% 11.30% 13.43% 11.97% 14.10% +12.41% +11.97% 10.27% 16.11% 11.82% 11.32% 11.44% 13.56% 12.47% 11.83% 9.51% 11.65% 12.22% 10.57% 13.45% 13.88% 9.73% +11.99% +11.82% 11.46% 9.16% 11.66% 9.55% 12.51% 12.37% 17.17% 11.62% 10.91% 11.26% 17.40% 12.75% 12.01% 12.09% 13.91% +12.39% +12.01% 10.26% 10.57% 12.56% 10.05% 10.26% 13.41% 14.76% 12.96% 11.57% 9.07% 13.49% 12.04% 12.78% 10.99% 12.69% +11.83% +12.04% 9.08% 7.99% 13.10% 8.97% 9.00% 9.52% 18.71% 11.92% 11.65% 8.66% 14.07% 11.83% 14.16% 12.74% 12.14% +11.57% +11.83% 9.33% 8.27% 8.69% 9.01% 11.59% 17.74% 10.46% 13.14% 10.95% 12.29% 10.85% +11.12% +10.85% 13.70% 12.39% 9.87% 13.21% 10.27% 10.58% 11.75% 18.10% 9.35% 14.74% 11.34% 14.94% 9.28% 15.12% 12.04% +12.44% +12.04% 15.24% 8.67% 12.20% 9.94% 10.36% 10.89% 20.30% 11.93% 10.22% 14.45% 15.63% 10.53% 10.42% +12.37% +10.89% 14.04% 11.15% 10.70% 9.52% 9.11% 19.53% 12.00% 12.83% 11.43% 13.68% 12.72% 15.88% 11.75% 14.07% +12.74% +12.36% 11.08% 9.84% 13.65% 9.71% 10.64% 19.21% 13.14% 10.59% 10.54% 12.79% 12.30% 15.94% 11.90% 12.82% +12.44% +12.10% 13.01% 10.97% 10.80% 12.49% 9.39% 9.00% 11.06% 14.24% 11.65% 12.24% 9.85% 15.06% 12.03% 16.19% 13.24% 15.92% +12.32% +12.13%
3 Năng lượng Dòng tiền ngành 2.33% 1.51% 2.53% 2.85% 7.24% 4.41% 3.33% 1.84% 5.95% 2.29% 2.09% 3.85% 5.02% 4.60% 2.24% +3.47% +2.85% 3.78% 1.65% 2.47% 2.52% 5.98% 2.10% 2.17% 3.49% 4.74% 2.03% 2.64% 2.55% 3.55% 3.04% 1.64% +2.96% +2.55% 2.22% 1.83% 2.76% 3.77% 8.69% 2.58% 2.26% 4.68% 4.34% 1.79% 2.84% 1.78% 3.03% 2.43% 1.95% +3.13% +2.58% 1.28% 2.65% 2.13% 2.52% 5.43% 5.52% 3.51% 1.92% 4.64% 3.71% 3.91% 3.28% 2.95% 4.00% 2.15% 1.94% +3.22% +3.12% 1.95% 4.28% 3.27% 2.17% 3.62% 4.44% 3.76% 2.63% 3.93% 3.67% 2.48% 4.58% 4.31% 4.78% 2.69% 1.84% +3.40% +3.64% 1.25% 2.39% 2.99% 3.53% 4.83% 10.06% 3.45% 1.49% 4.06% 3.68% 2.92% 4.67% 4.11% 3.75% 2.56% 1.39% +3.72% +3.53% 2.15% 2.58% 3.02% 2.95% 6.60% 7.87% 2.54% 1.54% 2.12% 6.17% 3.90% 2.84% 2.70% 3.03% 3.94% +3.60% +2.95% 2.38% 2.99% 3.40% 4.35% 4.41% 5.38% 4.62% 1.26% 2.79% 7.08% 3.30% 2.34% 4.57% 4.18% 3.52% +3.77% +3.52% 1.74% 2.47% 2.03% 6.19% 5.04% 5.70% 4.60% 1.37% 2.21% 4.57% 3.02% 4.57% 7.71% 3.40% 2.87% +3.83% +3.40% 1.49% 2.46% 2.02% 3.02% 7.00% 4.27% 2.42% 1.39% 2.66% 3.89% 1.89% 3.09% 4.47% 2.85% 2.48% +3.03% +2.66% 1.88% 1.91% 2.64% 3.80% 8.42% 3.67% 3.00% 2.33% 5.39% 3.51% 2.50% 2.76% 4.67% 2.46% 2.73% +3.44% +2.76% 2.05% 1.72% 3.25% 3.18% 10.13% 4.03% 3.66% 2.20% 5.92% 3.16% 2.57% 3.17% 5.16% 2.99% 2.49% +3.71% +3.17% 1.36% 2.99% 3.00% 2.68% 4.56% 7.39% 3.54% 1.96% 4.26% 3.68% 3.00% 4.13% 3.76% 4.18% 2.48% 1.76% +3.53% +3.54% 2.12% 2.65% 2.96% 4.66% 5.48% 6.16% 3.95% 1.37% 2.35% 6.01% 3.33% 3.38% 4.73% 3.53% 3.43% +3.74% +3.43% 1.78% 1.92% 2.57% 3.33% 8.79% 4.01% 3.01% 1.98% 4.75% 3.54% 2.35% 2.99% 4.76% 2.75% 2.57% +3.41% +2.99% 2.60% 1.66% 2.61% 3.08% 7.26% 3.04% 2.58% 3.48% 5.14% 2.04% 2.58% 2.62% 3.77% 3.35% 1.97% +3.19% +2.62% 1.70% 2.48% 2.85% 2.17% 3.40% 13.61% 3.18% 1.51% 3.49% 4.18% 2.61% 6.27% 4.48% 4.59% 2.40% 1.43% +3.77% +3.02% 1.59% 2.92% 2.79% 5.18% 3.78% 12.19% 5.30% 1.36% 2.65% 3.00% 3.10% 5.03% 5.69% 3.87% 2.87% 1.33% +4.09% +3.10% 1.09% 2.67% 3.50% 3.37% 5.75% 6.22% 3.60% 1.32% 4.14% 3.72% 3.16% 4.13% 4.36% 3.46% 2.36% +3.52% +3.50% 0.83% 2.22% 2.93% 2.95% 5.33% 6.56% 2.74% 1.56% 4.86% 3.88% 2.71% 3.78% 2.77% 2.22% 2.71% +3.20% +2.77% 0.90% 1.60% 2.88% 2.69% 4.58% 5.86% 1.68% 2.15% 2.26% 6.28% 2.92% 3.59% 3.13% 3.04% 4.64% +3.21% +2.92% 1.58% 2.24% 2.67% 3.25% 4.89% 4.76% 2.23% 1.37% 2.09% 7.49% 4.37% 3.94% 1.97% 3.72% 3.97% +3.37% +3.25% 1.95% 3.90% 3.54% 2.78% 8.41% 9.72% 2.78% 0.97% 2.09% 5.23% 3.92% 2.71% 2.53% 2.93% 3.82% +3.82% +2.93% 2.99% 2.85% 2.84% 3.04% 6.07% 9.77% 3.28% 1.77% 1.97% 5.28% 4.54% 2.33% 3.26% 2.12% 2.89% +3.67% +2.99% 2.38% 2.20% 2.54% 4.12% 13.04% 7.25% 2.12% 2.68% 2.47% 6.22% 2.30% 1.99% 2.91% 2.24% 2.51% +3.80% +2.51% 2.23% 2.83% 3.56% 2.70% 6.02% 7.11% 1.71% 1.12% 2.44% 7.44% 2.94% 2.13% 3.45% 3.55% 3.93% +3.54% +2.94% 2.04% 1.83% 2.69% 2.09% 4.97% 2.99% 3.98% 3.94% 1.73% 1.96% +2.82% +2.39% 2.79% 3.77% 4.17% 3.25% 4.65% 5.84% 2.50% 0.78% 3.53% 7.37% 4.20% 2.10% 3.07% 4.77% 3.32% +3.74% +3.53% 2.25% 2.82% 3.38% 4.68% 3.09% 5.45% 8.17% 1.32% 3.32% 8.26% 3.38% 1.84% 5.09% 4.85% 3.83% +4.11% +3.38% 1.93% 2.82% 2.61% 5.40% 3.69% 3.78% 4.94% 1.06% 2.03% 5.36% 2.61% 2.59% 5.16% 3.73% 3.23% +3.40% +3.23% 2.28% 2.75% 2.13% 5.25% 2.80% 6.72% 4.58% 1.05% 1.95% 5.81% 3.90% 4.81% 7.41% 3.13% 3.02% +3.84% +3.13% 1.86% 2.30% 1.81% 6.93% 3.95% 7.02% 5.53% 1.88% 1.60% 3.66% 3.54% 4.95% 9.02% 3.34% 2.74% +4.01% +3.54% 2.01% 2.73% 1.85% 7.12% 4.89% 4.57% 5.04% 1.32% 2.58% 4.05% 2.26% 4.54% 8.05% 4.18% 2.86% +3.87% +4.05% 1.31% 1.77% 2.28% 5.39% 8.26% 4.68% 4.64% 1.34% 3.16% 4.85% 2.09% 4.28% 7.96% 3.01% 2.86% +3.86% +3.16% 1.74% 2.51% 2.03% 4.05% 5.13% 4.45% 2.89% 1.53% 2.33% 3.45% 1.87% 3.86% 5.33% 3.46% 2.35% +3.13% +2.89% 1.79% 2.35% 1.65% 3.07% 5.25% 6.29% 2.54% 1.25% 2.37% 4.67% 1.86% 3.04% 5.32% 2.85% 2.70% +3.13% +2.70% 1.52% 2.41% 2.15% 2.29% 8.13% 4.06% 2.42% 1.42% 1.95% 4.14% 1.89% 3.06% 3.89% 2.52% 2.37% +2.95% +2.41% 1.35% 2.09% 1.55% 3.75% 5.48% 6.40% 2.80% 2.01% 4.17% 4.49% 5.00% 3.21% 2.39% 4.09% 2.46% 1.77% +3.31% +3.01% 1.38% 1.96% 2.05% 2.89% 8.47% 3.42% 2.56% 1.39% 4.08% 3.54% 1.98% 2.99% 4.33% 2.64% 2.40% +3.07% +2.64% 1.18% 3.36% 1.67% 3.12% 8.95% 2.65% 2.07% 3.20% 5.10% 3.25% 1.97% 2.86% 3.76% 2.95% 2.66% +3.25% +2.95% 1.41% 2.39% 1.58% 4.36% 8.64% 2.27% 2.26% 2.63% 6.27% 3.49% 2.49% 2.93% 3.83% 3.03% 2.99% +3.37% +2.93% 1.68% 2.13% 2.51% 4.05% 8.61% 2.79% 3.05% 2.11% 5.84% 2.41% 2.32% 3.83% 4.33% 2.47% 2.97% +3.41% +2.79% 2.39% 1.63% 3.42% 3.43% 8.42% 3.93% 3.39% 1.46% 4.02% 4.21% 2.08% 2.45% 4.22% 1.66% 2.85% +3.30% +3.39% 2.16% 1.62% 3.11% 3.90% 7.96% 4.87% 3.31% 1.57% 4.45% 4.25% 2.89% 1.98% 5.40% 2.09% 2.07% +3.44% +3.11% 1.61% 1.76% 3.12% 2.46% 6.28% 5.42% 2.84% 1.64% 5.19% 2.81% 2.27% 2.24% 6.23% 2.68% 2.47% +3.27% +2.68% 2.15% 1.79% 3.72% 3.09% 11.13% 3.02% 4.23% 1.35% 6.68% 3.61% 1.69% 1.94% 5.18% 3.15% 2.22% +3.66% +3.09% 1.71% 1.70% 3.23% 3.70% 11.75% 3.72% 3.58% 2.45% 5.72% 3.67% 2.32% 3.35% 6.08% 2.70% 2.52% +3.88% +3.35% 2.06% 1.84% 2.71% 2.70% 10.34% 4.65% 2.18% 3.49% 5.98% 2.38% 3.48% 3.44% 5.10% 3.47% 2.60% +3.76% +3.44% 0.96% 3.01% 2.05% 2.50% 5.62% 6.98% 3.27% 1.63% 3.83% 2.86% 3.32% 3.45% 2.16% 3.93% 2.16% 1.77% +3.09% +2.93% 2.47% 1.67% 3.91% 2.79% 6.20% 3.47% 4.73% 2.04% 7.24% 2.86% 2.98% 5.05% 4.25% 4.09% 2.65% +3.76% +3.47% 2.51% 1.46% 2.35% 2.94% 6.13% 5.38% 4.05% 1.74% 5.83% 2.76% 2.87% 4.73% 4.56% 4.93% 2.76% +3.67% +2.94% 2.11% 1.07% 2.17% 2.96% 9.91% 4.55% 3.59% 1.85% 5.54% 1.54% 2.06% 3.72% 4.73% 5.17% 2.37% +3.55% +2.96% 2.40% 1.57% 2.15% 2.23% 7.51% 3.96% 2.92% 1.64% 5.09% 2.55% 1.52% 3.69% 6.72% 4.17% 1.57% +3.31% +2.55% 2.27% 1.85% 1.93% 4.65% 6.45% 3.92% 2.13% 2.57% 4.70% 1.82% 1.59% 3.09% 4.34% 3.45% 1.52% +3.09% +2.57% 2.75% 1.87% 3.14% 2.04% 5.94% 2.89% 2.89% 4.05% 5.22% 2.61% 1.00% 2.79% 3.61% 2.97% 1.44% +3.01% +2.89% 5.44% 1.47% 2.24% 2.08% 5.25% 2.45% 2.41% 2.92% 5.21% 1.88% 3.15% 2.76% 4.19% 2.74% 2.19% +3.09% +2.74% 3.12% 1.78% 2.38% 3.08% 4.82% 1.66% 2.16% 4.54% 4.94% 1.92% 3.16% 3.07% 4.18% 3.04% 1.41% +3.02% +3.07% 4.13% 1.35% 2.48% 2.43% 8.19% 1.53% 2.18% 3.19% 3.81% 1.69% 2.69% 1.80% 3.06% 3.72% 1.45% +2.91% +2.48% 2.91% 1.31% 2.11% 1.83% 7.59% 1.88% 3.18% 3.32% 4.63% 1.89% 2.60% 1.61% 3.12% 3.11% 1.62% +2.85% +2.60% 1.18% 2.63% 1.82% 5.87% 4.60% 3.82% 1.99% 5.31% 3.79% 3.64% 3.50% 3.97% 4.35% 2.28% 2.25% +3.40% +3.64% 2.13% 1.19% 2.11% 3.87% 10.14% 3.82% 2.18% 4.23% 4.50% 1.79% 2.38% 2.12% 2.92% 2.46% 1.97% +3.19% +2.38% 2.09% 1.81% 4.41% 4.64% 9.21% 2.85% 1.96% 6.34% 4.23% 1.80% 2.64% 1.55% 2.92% 1.78% 2.42% +3.38% +2.64% 2.00% 1.92% 1.83% 4.87% 9.51% 2.56% 2.01% 4.94% 3.89% 1.49% 2.67% 1.70% 3.01% 1.74% 1.91% +3.07% +2.01% 2.31% 2.98% 3.83% 5.14% 1.50% 1.39% 2.25% 3.96% 2.09% 3.05% 1.91% +2.77% +2.31% 1.78% 2.73% 3.02% 2.10% 4.33% 4.03% 4.13% 1.62% 5.63% 3.83% 3.21% 2.96% 3.79% 3.63% 1.90% +3.24% +3.21% 1.64% 2.94% 2.27% 4.30% 5.59% 3.44% 2.49% 4.09% 3.07% 3.01% 4.25% 2.67% 1.64% +3.18% +3.01% 1.80% 5.67% 3.01% 3.39% 4.02% 3.59% 2.97% 3.74% 2.18% 4.02% 3.59% 5.20% 2.07% 2.23% +3.39% +3.49% 4.22% 3.53% 1.96% 4.37% 4.41% 2.43% 3.57% 3.60% 2.04% 6.87% 3.57% 5.92% 2.63% 1.80% +3.64% +3.57% 2.44% 3.52% 3.24% 2.31% 2.82% 3.61% 3.60% 1.91% 4.75% 3.83% 2.47% 4.77% 5.23% 5.38% 3.17% 1.70% +3.42% +3.38%
4 Tiêu dùng không thiết yếu Dòng tiền ngành 8.71% 8.17% 8.47% 12.27% 10.75% 12.99% 12.47% 11.09% 9.64% 8.50% 7.40% 7.79% 8.80% 7.91% 7.94% +9.53% +8.71% 10.06% 6.99% 7.06% 11.31% 16.93% 14.86% 9.61% 8.36% 9.37% 7.98% 8.44% 8.90% 7.47% 7.48% 8.64% +9.56% +8.64% 8.79% 8.14% 6.89% 10.96% 14.09% 20.05% 10.61% 9.46% 9.00% 9.48% 7.36% 8.31% 6.40% 8.03% 8.28% +9.72% +8.79% 8.33% 10.25% 9.33% 8.39% 11.71% 14.23% 15.35% 7.69% 8.08% 9.49% 10.86% 6.67% 9.43% 6.69% 7.75% 7.53% +9.48% +8.86% 7.05% 9.00% 6.92% 8.81% 10.75% 15.80% 16.54% 8.04% 6.51% 10.63% 9.47% 6.33% 9.45% 7.29% 7.02% 7.96% +9.22% +8.43% 10.54% 8.84% 6.03% 9.17% 8.86% 16.60% 15.96% 7.40% 6.17% 11.33% 9.71% 7.35% 10.28% 5.96% 8.55% 7.30% +9.52% +8.86% 12.45% 8.50% 7.52% 11.62% 7.63% 17.57% 15.04% 8.08% 6.06% 9.96% 11.54% 6.92% 11.84% 6.82% 8.21% +9.98% +8.50% 10.61% 8.03% 8.43% 10.34% 7.91% 17.49% 16.83% 8.54% 7.12% 10.63% 10.17% 5.43% 9.05% 6.78% 9.94% +9.82% +9.05% 10.84% 9.25% 8.73% 10.94% 10.91% 14.59% 18.88% 12.23% 7.74% 9.80% 9.93% 5.24% 9.88% 7.93% 8.84% +10.38% +9.88% 11.92% 7.71% 9.83% 10.45% 11.04% 13.24% 15.52% 11.49% 7.98% 12.31% 9.51% 5.85% 8.16% 8.25% 10.97% +10.28% +10.45% 10.85% 7.44% 7.96% 9.66% 12.12% 11.45% 13.03% 11.99% 10.07% 11.15% 10.00% 6.65% 8.92% 7.62% 10.00% +9.93% +10.00% 9.76% 7.89% 6.24% 10.87% 11.08% 11.86% 11.49% 11.90% 10.71% 9.19% 10.63% 7.83% 9.01% 8.09% 7.76% +9.62% +9.76% 9.19% 9.38% 6.60% 8.72% 10.02% 15.60% 15.91% 7.67% 7.01% 10.65% 9.90% 6.86% 9.78% 6.64% 7.91% 7.68% +9.46% +9.19% 11.37% 8.69% 8.16% 10.90% 8.62% 16.18% 17.06% 9.66% 6.86% 10.16% 10.42% 5.76% 10.47% 7.30% 9.04% +10.04% +9.66% 10.91% 7.72% 8.20% 10.30% 11.39% 12.32% 13.42% 11.80% 9.66% 10.98% 10.11% 6.77% 8.73% 7.95% 9.76% +10.00% +10.11% 9.06% 7.79% 7.46% 11.45% 13.73% 15.79% 10.87% 9.50% 9.38% 8.62% 7.67% 8.42% 7.43% 7.79% 8.26% +9.55% +8.62% 7.28% 8.99% 5.33% 9.02% 9.79% 19.89% 18.38% 8.26% 7.17% 12.68% 8.27% 7.80% 10.02% 5.88% 8.50% 7.59% +9.68% +8.39% 9.50% 7.34% 5.86% 8.65% 9.47% 14.39% 14.99% 7.85% 5.69% 11.13% 9.38% 7.20% 10.85% 5.50% 8.65% 6.75% +9.10% +8.65% 9.95% 8.67% 5.89% 10.38% 8.22% 13.61% 14.46% 6.09% 5.98% 10.95% 11.35% 7.41% 9.47% 5.89% 8.08% +9.09% +8.67% 13.31% 9.61% 6.94% 8.90% 8.74% 17.03% 16.09% 7.39% 6.09% 9.57% 9.80% 6.80% 9.95% 6.53% 8.42% +9.68% +8.90% 14.26% 9.32% 6.61% 12.82% 7.90% 16.57% 16.92% 7.94% 5.88% 9.64% 10.78% 7.13% 11.21% 6.14% 8.03% +10.08% +9.32% 12.83% 8.41% 6.94% 12.31% 6.30% 16.91% 17.29% 7.02% 5.57% 10.47% 11.73% 7.63% 12.00% 6.96% 8.40% +10.05% +8.41% 12.34% 9.24% 7.68% 9.77% 8.26% 15.97% 15.18% 7.82% 6.03% 9.97% 11.25% 6.75% 11.66% 7.49% 6.86% +9.75% +9.24% 11.89% 8.59% 8.58% 9.93% 8.06% 20.53% 13.59% 9.66% 7.08% 9.70% 11.76% 7.17% 12.71% 7.03% 10.15% +10.43% +9.70% 12.42% 8.21% 8.70% 8.47% 6.31% 18.08% 13.94% 8.23% 6.16% 8.66% 11.52% 6.23% 10.74% 7.65% 14.76% +10.00% +8.66% 11.63% 8.55% 8.74% 8.64% 8.15% 20.45% 16.28% 9.03% 7.60% 8.90% 10.00% 5.53% 10.22% 6.89% 9.26% +9.99% +8.90% 10.07% 7.68% 16.65% 7.71% 8.55% 8.78% 11.54% 6.15% 8.86% 8.26% +9.42% +8.66% 10.76% 9.07% 7.64% 12.22% 7.53% 16.54% 17.66% 8.99% 7.62% 9.34% 10.57% 5.41% 9.54% 6.41% 10.13% +9.96% +9.34% 9.58% 7.73% 7.75% 10.92% 8.34% 16.38% 15.72% 8.02% 7.45% 12.42% 10.59% 5.46% 8.19% 6.20% 8.76% +9.57% +8.34% 10.03% 7.32% 9.47% 10.11% 7.59% 16.86% 18.13% 8.28% 6.40% 12.53% 9.53% 5.46% 8.72% 8.10% 10.51% +9.94% +9.47% 10.23% 7.76% 8.41% 11.65% 8.60% 14.38% 16.74% 11.73% 7.12% 9.87% 8.22% 4.67% 9.40% 8.17% 8.99% +9.73% +8.99% 11.02% 8.30% 7.47% 11.22% 11.06% 14.59% 18.78% 11.10% 7.90% 10.64% 10.65% 4.82% 10.01% 7.71% 8.23% +10.23% +10.64% 9.54% 9.64% 9.95% 11.43% 11.19% 15.91% 20.39% 12.41% 7.78% 8.49% 10.31% 5.70% 9.93% 7.21% 8.90% +10.58% +9.93% 11.98% 10.20% 9.95% 9.10% 11.94% 13.80% 19.08% 15.04% 9.00% 10.36% 10.02% 5.98% 9.82% 8.26% 9.37% +10.93% +10.02% 11.43% 10.68% 10.09% 9.93% 11.75% 14.36% 17.38% 12.59% 7.34% 13.16% 11.00% 5.16% 9.72% 8.08% 12.72% +11.03% +11.00% 11.28% 7.67% 10.37% 9.27% 10.45% 14.37% 16.05% 10.25% 6.69% 12.58% 8.88% 5.93% 8.13% 8.83% 10.99% +10.12% +10.25% 11.87% 8.03% 10.13% 11.78% 11.19% 13.01% 16.81% 11.64% 7.95% 11.89% 11.36% 5.61% 7.24% 8.22% 10.63% +10.49% +11.19% 8.41% 10.47% 8.76% 8.58% 13.79% 11.32% 16.28% 8.63% 8.72% 9.08% 10.87% 6.18% 11.22% 6.70% 6.70% 7.40% +9.57% +8.74% 13.09% 7.45% 9.42% 10.24% 11.32% 12.96% 13.34% 12.57% 9.01% 12.00% 8.55% 5.91% 8.78% 7.80% 10.01% +10.16% +10.01% 11.46% 7.00% 7.89% 9.89% 10.86% 11.33% 15.29% 9.09% 9.81% 11.67% 8.93% 6.45% 8.10% 8.14% 10.20% +9.74% +9.81% 13.46% 6.78% 8.73% 9.81% 12.43% 12.05% 12.96% 14.42% 9.17% 11.44% 9.29% 6.18% 7.69% 7.90% 9.32% +10.11% +9.32% 10.73% 6.52% 5.97% 8.73% 13.38% 11.81% 11.49% 11.20% 10.50% 11.56% 8.75% 6.95% 8.59% 7.34% 11.77% +9.69% +10.50% 10.89% 7.70% 8.92% 10.18% 12.50% 10.78% 13.49% 12.51% 11.35% 11.02% 9.35% 6.45% 8.35% 6.68% 9.67% +9.99% +10.18% 9.48% 7.81% 7.43% 9.96% 10.85% 10.95% 15.09% 11.64% 9.22% 10.44% 11.23% 6.69% 10.38% 8.34% 9.47% +9.93% +9.96% 7.66% 7.81% 6.15% 10.09% 11.30% 12.39% 12.21% 9.20% 11.06% 9.20% 12.39% 7.22% 10.16% 7.87% 8.84% +9.57% +9.20% 11.10% 8.24% 7.82% 9.88% 12.18% 10.77% 10.27% 11.97% 12.04% 11.10% 11.65% 7.14% 9.07% 7.84% 8.00% +9.94% +10.27% 9.41% 8.02% 5.19% 12.00% 10.74% 10.61% 9.55% 13.58% 10.05% 7.78% 11.14% 8.18% 9.23% 8.46% 7.63% +9.44% +9.41% 9.46% 7.57% 5.81% 10.17% 10.54% 13.19% 12.32% 12.28% 10.16% 9.39% 10.17% 8.30% 8.89% 8.19% 7.16% +9.57% +9.46% 9.05% 10.74% 10.10% 8.56% 11.37% 14.92% 16.86% 6.80% 8.73% 10.79% 9.81% 6.43% 9.75% 6.61% 8.97% 6.75% +9.76% +9.40% 8.69% 7.66% 6.69% 11.92% 10.26% 14.54% 13.19% 10.30% 9.04% 8.74% 7.48% 7.68% 8.84% 7.80% 7.63% +9.36% +8.74% 8.84% 8.05% 8.73% 13.19% 10.36% 12.87% 11.46% 11.79% 10.16% 7.81% 7.17% 7.48% 8.18% 8.47% 8.74% +9.55% +8.74% 8.33% 8.59% 9.43% 12.34% 9.74% 10.50% 13.31% 12.38% 9.71% 8.05% 6.57% 7.59% 8.60% 8.13% 8.38% +9.44% +8.60% 8.50% 7.89% 8.92% 12.07% 13.34% 14.75% 12.55% 10.71% 9.58% 8.94% 7.66% 7.78% 9.49% 7.27% 6.86% +9.75% +8.94% 9.27% 8.65% 8.11% 11.59% 10.34% 13.24% 13.10% 9.44% 9.63% 8.47% 8.43% 8.38% 8.97% 8.43% 9.81% +9.72% +9.27% 9.97% 7.32% 6.07% 10.20% 12.55% 11.33% 10.50% 8.35% 9.94% 7.47% 10.17% 8.24% 8.33% 7.94% 7.74% +9.07% +8.35% 9.73% 7.26% 6.11% 10.56% 17.65% 13.92% 10.57% 8.84% 10.01% 8.80% 9.00% 9.24% 7.58% 7.04% 7.65% +9.60% +9.00% 9.74% 6.57% 8.10% 12.15% 21.54% 15.62% 9.33% 7.42% 9.09% 7.41% 8.36% 9.81% 7.76% 7.35% 8.60% +9.92% +8.60% 11.30% 6.24% 7.48% 12.00% 14.89% 17.85% 9.23% 8.21% 8.31% 8.46% 7.33% 8.41% 7.44% 6.40% 9.49% +9.54% +8.41% 9.78% 7.40% 7.96% 11.85% 15.30% 16.03% 8.83% 9.11% 7.99% 8.02% 7.13% 8.87% 6.35% 7.92% 7.73% +9.35% +8.02% 7.77% 9.99% 9.08% 9.56% 15.84% 14.27% 7.45% 7.31% 9.16% 11.51% 6.79% 8.76% 7.60% 6.82% 8.02% +9.33% +8.76% 9.13% 7.95% 7.17% 11.07% 14.86% 17.44% 12.20% 8.60% 8.66% 9.43% 7.12% 7.63% 5.84% 7.43% 7.87% +9.49% +8.60% 7.70% 7.94% 4.35% 9.00% 12.83% 14.34% 9.53% 9.75% 10.47% 9.01% 7.12% 8.51% 6.34% 9.07% 9.61% +9.04% +9.01% 7.94% 9.34% 8.82% 11.66% 13.63% 33.82% 10.49% 10.58% 9.10% 11.23% 7.80% 7.92% 6.94% 8.37% 8.19% +11.06% +9.10% 10.28% 7.73% 11.80% 13.56% 16.44% 10.86% 11.31% 7.55% 8.65% 7.23% 8.09% +10.32% +10.28% 7.58% 9.86% 8.50% 7.65% 11.31% 14.82% 14.12% 7.40% 6.60% 9.58% 11.28% 7.28% 7.41% 7.70% 8.16% +9.28% +8.16% 7.32% 7.29% 9.00% 9.59% 16.14% 16.25% 7.89% 7.52% 9.03% 6.88% 7.71% 6.59% 7.97% +9.17% +7.89% 6.52% 9.67% 6.86% 11.92% 14.49% 8.70% 5.43% 10.11% 9.53% 6.23% 7.47% 6.39% 7.17% 8.76% +8.52% +8.08% 9.13% 6.28% 9.18% 11.08% 15.76% 7.21% 5.53% 10.58% 9.50% 6.12% 9.37% 7.14% 6.55% 8.26% +8.69% +8.69% 7.17% 8.59% 6.59% 8.34% 9.68% 16.81% 16.74% 8.49% 5.90% 11.77% 9.84% 6.03% 10.71% 6.43% 8.09% 7.08% +9.27% +8.42%
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
2 Nguyên vật liệu Dòng tiền ngành 14.68% 10.21% 15.93% 11.51% 10.36% 12.32% 21.15% 13.80% 12.80% 8.75% 15.28% 18.89% 16.05% 12.17% 10.54% +13.63% +12.80% 13.56% 9.63% 14.59% 10.75% 10.04% 13.17% 18.64% 12.09% 11.64% 8.65% 20.37% 14.59% 14.96% 11.73% 11.59% +13.07% +12.09% 10.47% 9.02% 12.87% 9.67% 10.99% 11.79% 17.08% 12.48% 11.09% 9.71% 14.65% 11.82% 12.81% 11.98% 13.05% +11.97% +11.82% 11.93% 12.93% 9.39% 12.37% 10.09% 10.98% 11.94% 16.87% 10.79% 11.41% 11.56% 12.39% 10.10% 14.26% 11.68% 10.93% +11.85% +11.62% 14.17% 11.00% 10.07% 12.98% 9.58% 9.51% 10.91% 18.67% 11.62% 11.79% 10.46% 14.22% 12.96% 15.75% 12.05% 13.52% +12.45% +11.92% 13.24% 10.88% 10.17% 14.31% 10.04% 8.45% 16.59% 12.67% 9.52% 11.81% 10.35% 12.49% 18.96% 14.99% 11.37% 11.63% +12.39% +11.81% 13.94% 10.18% 11.45% 14.99% 10.82% 11.05% 19.26% 12.85% 7.91% 11.67% 11.96% 12.85% 15.41% 11.16% 9.82% +12.35% +11.67% 12.53% 9.27% 14.32% 12.34% 10.36% 9.78% 19.03% 12.37% 10.76% 10.66% 15.14% 14.55% 16.37% 11.72% 12.45% +12.78% +12.37% 13.80% 8.39% 11.73% 11.65% 11.31% 8.85% 20.64% 14.77% 13.02% 11.51% 15.24% 12.55% 15.41% 13.33% 13.78% +13.07% +13.02% 12.82% 10.11% 12.79% 11.40% 12.16% 10.44% 24.18% 16.43% 11.64% 12.55% 18.27% 14.34% 13.46% 12.48% 13.36% +13.76% +12.79% 12.10% 9.15% 14.60% 13.99% 9.75% 10.85% 20.77% 13.68% 9.74% 10.89% 18.12% 15.14% 14.85% 10.59% 12.31% +13.10% +12.31% 14.39% 10.73% 15.56% 11.78% 8.46% 11.62% 19.11% 15.03% 11.94% 8.94% 16.93% 18.76% 16.17% 12.00% 12.69% +13.61% +12.69% 12.89% 11.63% 10.07% 13.05% 9.90% 9.55% 13.82% 15.46% 10.52% 11.70% 10.68% 12.85% 14.45% 15.05% 11.64% 12.36% +12.22% +11.70% 13.41% 9.13% 12.70% 12.78% 10.81% 9.68% 19.73% 13.31% 10.23% 11.24% 14.37% 13.28% 15.68% 12.29% 12.08% +12.72% +12.70% 13.11% 10.13% 14.19% 12.39% 9.82% 10.85% 21.44% 15.01% 11.05% 10.89% 17.69% 16.02% 14.86% 11.60% 12.81% +13.46% +12.81% 12.14% 9.64% 14.30% 10.56% 10.44% 12.45% 18.92% 12.70% 11.98% 9.01% 16.40% 14.76% 14.43% 11.95% 11.65% +12.76% +12.14% 13.75% 10.42% 10.67% 14.16% 8.93% 7.06% 12.80% 12.77% 11.96% 12.14% 7.89% 15.11% 19.76% 17.38% 11.77% 12.08% +12.42% +12.11% 13.56% 12.19% 9.55% 14.27% 10.23% 7.47% 16.02% 12.01% 7.95% 11.55% 10.72% 12.82% 20.21% 15.77% 12.15% 10.78% +12.43% +12.15% 12.48% 9.34% 10.00% 15.19% 9.97% 10.35% 15.44% 10.87% 7.94% 11.73% 10.74% 10.60% 18.88% 12.71% 11.53% +11.85% +10.87% 12.80% 11.29% 10.41% 13.75% 10.89% 9.38% 18.37% 13.69% 9.93% 11.68% 11.38% 12.56% 18.02% 13.69% 9.95% +12.52% +11.68% 14.58% 11.53% 8.57% 14.32% 10.37% 10.87% 19.67% 14.09% 8.30% 11.18% 11.00% 10.95% 17.28% 12.01% 10.46% +12.35% +11.18% 16.61% 11.20% 10.46% 14.64% 13.52% 10.71% 20.53% 12.80% 7.96% 12.10% 9.18% 10.03% 13.98% 10.16% 8.99% +12.19% +11.20% 12.78% 10.69% 12.38% 15.90% 10.13% 12.37% 19.31% 11.62% 7.75% 12.17% 11.56% 13.09% 15.96% 10.39% 9.83% +12.40% +12.17% 12.30% 9.39% 13.22% 15.96% 9.60% 9.96% 20.19% 13.05% 7.43% 11.30% 14.22% 15.28% 16.54% 12.02% 9.69% +12.68% +12.30% 13.72% 9.52% 17.79% 16.40% 7.62% 10.54% 17.56% 11.77% 9.07% 12.99% 14.56% 13.70% 16.04% 10.71% 9.74% +12.78% +12.99% 13.38% 10.48% 14.69% 11.24% 9.94% 10.41% 24.31% 11.23% 9.75% 10.70% 14.30% 15.02% 17.02% 12.85% 13.52% +13.26% +12.85% 9.34% 12.83% 9.00% 18.46% 10.06% 13.55% 10.92% 12.67% 10.75% 11.91% +11.95% +11.42% 12.14% 9.29% 12.83% 12.31% 9.69% 10.58% 19.98% 11.45% 10.52% 9.37% 12.71% 15.68% 15.84% 10.67% 12.69% +12.38% +12.14% 12.33% 8.69% 13.04% 13.02% 10.84% 9.23% 15.99% 12.78% 11.38% 9.22% 15.82% 14.62% 15.97% 11.36% 12.61% +12.46% +12.61% 12.04% 9.38% 13.40% 11.99% 11.01% 9.31% 16.60% 15.14% 12.67% 12.83% 17.54% 12.78% 17.46% 12.31% 11.87% +13.09% +12.67% 12.88% 9.28% 13.05% 11.93% 10.67% 8.20% 22.40% 16.94% 12.81% 14.40% 13.98% 12.57% 15.76% 13.89% 14.15% +13.53% +13.05% 13.22% 8.91% 10.97% 12.19% 10.76% 8.86% 18.67% 15.17% 12.75% 11.85% 14.60% 11.94% 15.73% 13.07% 11.87% +12.70% +12.19% 14.92% 7.95% 10.62% 11.40% 13.07% 8.58% 21.00% 12.85% 14.12% 10.85% 13.78% 12.99% 15.80% 13.21% 14.93% +13.07% +13.07% 13.32% 7.42% 10.85% 10.94% 10.03% 8.47% 20.00% 14.52% 12.50% 9.31% 18.36% 12.92% 14.92% 13.70% 14.44% +12.78% +12.92% 14.30% 8.40% 10.98% 11.17% 12.14% 10.18% 22.65% 16.65% 11.93% 11.52% 19.65% 13.76% 13.40% 14.74% 12.50% +13.60% +12.50% 14.21% 9.11% 11.44% 11.44% 12.49% 7.62% 23.45% 16.23% 12.54% 13.66% 19.64% 13.43% 12.93% 12.67% 16.06% +13.80% +12.93% 12.19% 10.35% 12.79% 11.30% 12.50% 9.66% 23.04% 18.02% 10.39% 11.48% 16.98% 14.59% 13.68% 11.49% 11.96% +13.36% +12.19% 11.25% 11.37% 8.31% 12.27% 8.53% 11.97% 11.21% 17.56% 10.66% 8.95% 10.89% 11.60% 10.66% 13.77% 10.69% 11.92% +11.35% +11.23% 12.36% 10.63% 15.08% 11.24% 11.83% 13.70% 24.39% 13.95% 12.27% 13.43% 17.66% 15.23% 13.44% 11.28% 12.28% +13.92% +13.43% 12.22% 11.39% 14.41% 13.01% 10.92% 12.65% 26.26% 15.00% 10.44% 13.03% 17.59% 14.97% 14.24% 11.62% 12.99% +14.05% +13.01% 12.27% 9.03% 16.19% 15.81% 9.22% 12.32% 23.60% 12.31% 8.32% 11.31% 20.85% 14.83% 14.87% 10.87% 11.89% +13.58% +12.31% 11.46% 10.60% 13.73% 14.82% 9.27% 12.23% 20.61% 15.55% 9.47% 12.14% 18.02% 14.70% 15.67% 10.81% 13.50% +13.50% +13.50% 11.36% 8.31% 14.69% 14.02% 9.52% 10.35% 19.12% 13.63% 8.70% 9.09% 18.93% 14.83% 15.02% 10.03% 13.05% +12.71% +13.05% 12.98% 8.63% 13.37% 11.83% 10.61% 9.49% 21.87% 12.97% 12.06% 9.76% 16.12% 14.98% 13.27% 9.89% 10.95% +12.59% +12.06% 14.32% 8.99% 19.17% 9.67% 11.66% 10.32% 17.68% 16.92% 10.85% 10.60% 16.27% 18.02% 15.71% 12.35% 13.01% +13.70% +13.01% 14.82% 9.97% 15.69% 15.06% 8.79% 10.71% 20.81% 15.32% 10.75% 9.30% 16.67% 19.34% 18.18% 11.42% 13.09% +14.00% +14.82% 14.38% 11.17% 14.68% 10.07% 7.25% 10.11% 19.17% 15.54% 12.83% 8.34% 18.01% 18.45% 17.89% 12.70% 12.86% +13.56% +12.86% 11.45% 11.01% 12.90% 13.12% 7.96% 13.87% 17.67% 13.27% 12.60% 8.23% 15.71% 17.40% 14.47% 11.60% 11.77% +12.87% +12.90% 13.17% 10.79% 9.89% 12.00% 10.24% 10.16% 11.12% 17.14% 10.85% 10.93% 12.68% 10.89% 9.85% 15.94% 10.72% 10.66% +11.69% +10.87% 17.22% 11.53% 16.20% 11.54% 8.51% 12.74% 19.46% 15.17% 14.14% 8.61% 17.47% 21.16% 13.58% 12.70% 12.53% +14.17% +13.58% 15.55% 10.97% 15.74% 12.33% 11.00% 10.39% 25.83% 13.53% 13.23% 8.90% 14.94% 20.33% 14.96% 12.86% 11.33% +14.13% +13.23% 15.84% 10.03% 14.18% 11.34% 10.94% 12.88% 21.72% 13.59% 11.70% 7.99% 14.67% 17.38% 15.73% 12.51% 9.80% +13.35% +12.88% 14.08% 8.94% 18.12% 10.69% 11.06% 12.41% 18.39% 12.99% 11.89% 9.43% 14.22% 19.46% 16.98% 10.90% 9.30% +13.26% +12.41% 12.77% 10.72% 15.29% 11.82% 9.37% 13.74% 17.82% 12.99% 12.52% 8.57% 16.90% 18.11% 15.78% 11.28% 9.88% +13.17% +12.77% 15.63% 10.11% 15.12% 10.51% 10.77% 13.39% 15.95% 11.41% 10.74% 9.47% 21.19% 15.75% 17.37% 11.59% 10.22% +13.28% +11.59% 11.88% 9.70% 13.05% 9.33% 8.66% 12.86% 24.12% 12.33% 11.87% 9.26% 18.14% 16.32% 15.74% 12.28% 13.55% +13.27% +12.33% 13.38% 9.50% 13.32% 11.83% 10.02% 12.31% 20.70% 12.03% 11.29% 8.39% 19.33% 16.24% 15.38% 11.24% 10.44% +13.03% +12.03% 14.86% 9.57% 18.46% 10.66% 10.97% 14.35% 15.85% 12.31% 11.64% 7.48% 23.75% 11.31% 13.65% 12.01% 12.11% +13.26% +12.11% 11.91% 8.42% 15.22% 10.38% 12.44% 11.81% 16.19% 13.39% 10.43% 9.54% 15.54% 11.30% 13.43% 11.97% 14.10% +12.41% +11.97% 10.27% 16.11% 11.82% 11.32% 11.44% 13.56% 12.47% 11.83% 9.51% 11.65% 12.22% 10.57% 13.45% 13.88% 9.73% +11.99% +11.82% 11.46% 9.16% 11.66% 9.55% 12.51% 12.37% 17.17% 11.62% 10.91% 11.26% 17.40% 12.75% 12.01% 12.09% 13.91% +12.39% +12.01% 10.26% 10.57% 12.56% 10.05% 10.26% 13.41% 14.76% 12.96% 11.57% 9.07% 13.49% 12.04% 12.78% 10.99% 12.69% +11.83% +12.04% 9.08% 7.99% 13.10% 8.97% 9.00% 9.52% 18.71% 11.92% 11.65% 8.66% 14.07% 11.83% 14.16% 12.74% 12.14% +11.57% +11.83% 9.33% 8.27% 8.69% 9.01% 11.59% 17.74% 10.46% 13.14% 10.95% 12.29% 10.85% +11.12% +10.85% 13.70% 12.39% 9.87% 13.21% 10.27% 10.58% 11.75% 18.10% 9.35% 14.74% 11.34% 14.94% 9.28% 15.12% 12.04% +12.44% +12.04% 15.24% 8.67% 12.20% 9.94% 10.36% 10.89% 20.30% 11.93% 10.22% 14.45% 15.63% 10.53% 10.42% +12.37% +10.89% 14.04% 11.15% 10.70% 9.52% 9.11% 19.53% 12.00% 12.83% 11.43% 13.68% 12.72% 15.88% 11.75% 14.07% +12.74% +12.36% 11.08% 9.84% 13.65% 9.71% 10.64% 19.21% 13.14% 10.59% 10.54% 12.79% 12.30% 15.94% 11.90% 12.82% +12.44% +12.10% 13.01% 10.97% 10.80% 12.49% 9.39% 9.00% 11.06% 14.24% 11.65% 12.24% 9.85% 15.06% 12.03% 16.19% 13.24% 15.92% +12.32% +12.13%
3 Năng lượng Dòng tiền ngành 2.33% 1.51% 2.53% 2.85% 7.24% 4.41% 3.33% 1.84% 5.95% 2.29% 2.09% 3.85% 5.02% 4.60% 2.24% +3.47% +2.85% 3.78% 1.65% 2.47% 2.52% 5.98% 2.10% 2.17% 3.49% 4.74% 2.03% 2.64% 2.55% 3.55% 3.04% 1.64% +2.96% +2.55% 2.22% 1.83% 2.76% 3.77% 8.69% 2.58% 2.26% 4.68% 4.34% 1.79% 2.84% 1.78% 3.03% 2.43% 1.95% +3.13% +2.58% 1.28% 2.65% 2.13% 2.52% 5.43% 5.52% 3.51% 1.92% 4.64% 3.71% 3.91% 3.28% 2.95% 4.00% 2.15% 1.94% +3.22% +3.12% 1.95% 4.28% 3.27% 2.17% 3.62% 4.44% 3.76% 2.63% 3.93% 3.67% 2.48% 4.58% 4.31% 4.78% 2.69% 1.84% +3.40% +3.64% 1.25% 2.39% 2.99% 3.53% 4.83% 10.06% 3.45% 1.49% 4.06% 3.68% 2.92% 4.67% 4.11% 3.75% 2.56% 1.39% +3.72% +3.53% 2.15% 2.58% 3.02% 2.95% 6.60% 7.87% 2.54% 1.54% 2.12% 6.17% 3.90% 2.84% 2.70% 3.03% 3.94% +3.60% +2.95% 2.38% 2.99% 3.40% 4.35% 4.41% 5.38% 4.62% 1.26% 2.79% 7.08% 3.30% 2.34% 4.57% 4.18% 3.52% +3.77% +3.52% 1.74% 2.47% 2.03% 6.19% 5.04% 5.70% 4.60% 1.37% 2.21% 4.57% 3.02% 4.57% 7.71% 3.40% 2.87% +3.83% +3.40% 1.49% 2.46% 2.02% 3.02% 7.00% 4.27% 2.42% 1.39% 2.66% 3.89% 1.89% 3.09% 4.47% 2.85% 2.48% +3.03% +2.66% 1.88% 1.91% 2.64% 3.80% 8.42% 3.67% 3.00% 2.33% 5.39% 3.51% 2.50% 2.76% 4.67% 2.46% 2.73% +3.44% +2.76% 2.05% 1.72% 3.25% 3.18% 10.13% 4.03% 3.66% 2.20% 5.92% 3.16% 2.57% 3.17% 5.16% 2.99% 2.49% +3.71% +3.17% 1.36% 2.99% 3.00% 2.68% 4.56% 7.39% 3.54% 1.96% 4.26% 3.68% 3.00% 4.13% 3.76% 4.18% 2.48% 1.76% +3.53% +3.54% 2.12% 2.65% 2.96% 4.66% 5.48% 6.16% 3.95% 1.37% 2.35% 6.01% 3.33% 3.38% 4.73% 3.53% 3.43% +3.74% +3.43% 1.78% 1.92% 2.57% 3.33% 8.79% 4.01% 3.01% 1.98% 4.75% 3.54% 2.35% 2.99% 4.76% 2.75% 2.57% +3.41% +2.99% 2.60% 1.66% 2.61% 3.08% 7.26% 3.04% 2.58% 3.48% 5.14% 2.04% 2.58% 2.62% 3.77% 3.35% 1.97% +3.19% +2.62% 1.70% 2.48% 2.85% 2.17% 3.40% 13.61% 3.18% 1.51% 3.49% 4.18% 2.61% 6.27% 4.48% 4.59% 2.40% 1.43% +3.77% +3.02% 1.59% 2.92% 2.79% 5.18% 3.78% 12.19% 5.30% 1.36% 2.65% 3.00% 3.10% 5.03% 5.69% 3.87% 2.87% 1.33% +4.09% +3.10% 1.09% 2.67% 3.50% 3.37% 5.75% 6.22% 3.60% 1.32% 4.14% 3.72% 3.16% 4.13% 4.36% 3.46% 2.36% +3.52% +3.50% 0.83% 2.22% 2.93% 2.95% 5.33% 6.56% 2.74% 1.56% 4.86% 3.88% 2.71% 3.78% 2.77% 2.22% 2.71% +3.20% +2.77% 0.90% 1.60% 2.88% 2.69% 4.58% 5.86% 1.68% 2.15% 2.26% 6.28% 2.92% 3.59% 3.13% 3.04% 4.64% +3.21% +2.92% 1.58% 2.24% 2.67% 3.25% 4.89% 4.76% 2.23% 1.37% 2.09% 7.49% 4.37% 3.94% 1.97% 3.72% 3.97% +3.37% +3.25% 1.95% 3.90% 3.54% 2.78% 8.41% 9.72% 2.78% 0.97% 2.09% 5.23% 3.92% 2.71% 2.53% 2.93% 3.82% +3.82% +2.93% 2.99% 2.85% 2.84% 3.04% 6.07% 9.77% 3.28% 1.77% 1.97% 5.28% 4.54% 2.33% 3.26% 2.12% 2.89% +3.67% +2.99% 2.38% 2.20% 2.54% 4.12% 13.04% 7.25% 2.12% 2.68% 2.47% 6.22% 2.30% 1.99% 2.91% 2.24% 2.51% +3.80% +2.51% 2.23% 2.83% 3.56% 2.70% 6.02% 7.11% 1.71% 1.12% 2.44% 7.44% 2.94% 2.13% 3.45% 3.55% 3.93% +3.54% +2.94% 2.04% 1.83% 2.69% 2.09% 4.97% 2.99% 3.98% 3.94% 1.73% 1.96% +2.82% +2.39% 2.79% 3.77% 4.17% 3.25% 4.65% 5.84% 2.50% 0.78% 3.53% 7.37% 4.20% 2.10% 3.07% 4.77% 3.32% +3.74% +3.53% 2.25% 2.82% 3.38% 4.68% 3.09% 5.45% 8.17% 1.32% 3.32% 8.26% 3.38% 1.84% 5.09% 4.85% 3.83% +4.11% +3.38% 1.93% 2.82% 2.61% 5.40% 3.69% 3.78% 4.94% 1.06% 2.03% 5.36% 2.61% 2.59% 5.16% 3.73% 3.23% +3.40% +3.23% 2.28% 2.75% 2.13% 5.25% 2.80% 6.72% 4.58% 1.05% 1.95% 5.81% 3.90% 4.81% 7.41% 3.13% 3.02% +3.84% +3.13% 1.86% 2.30% 1.81% 6.93% 3.95% 7.02% 5.53% 1.88% 1.60% 3.66% 3.54% 4.95% 9.02% 3.34% 2.74% +4.01% +3.54% 2.01% 2.73% 1.85% 7.12% 4.89% 4.57% 5.04% 1.32% 2.58% 4.05% 2.26% 4.54% 8.05% 4.18% 2.86% +3.87% +4.05% 1.31% 1.77% 2.28% 5.39% 8.26% 4.68% 4.64% 1.34% 3.16% 4.85% 2.09% 4.28% 7.96% 3.01% 2.86% +3.86% +3.16% 1.74% 2.51% 2.03% 4.05% 5.13% 4.45% 2.89% 1.53% 2.33% 3.45% 1.87% 3.86% 5.33% 3.46% 2.35% +3.13% +2.89% 1.79% 2.35% 1.65% 3.07% 5.25% 6.29% 2.54% 1.25% 2.37% 4.67% 1.86% 3.04% 5.32% 2.85% 2.70% +3.13% +2.70% 1.52% 2.41% 2.15% 2.29% 8.13% 4.06% 2.42% 1.42% 1.95% 4.14% 1.89% 3.06% 3.89% 2.52% 2.37% +2.95% +2.41% 1.35% 2.09% 1.55% 3.75% 5.48% 6.40% 2.80% 2.01% 4.17% 4.49% 5.00% 3.21% 2.39% 4.09% 2.46% 1.77% +3.31% +3.01% 1.38% 1.96% 2.05% 2.89% 8.47% 3.42% 2.56% 1.39% 4.08% 3.54% 1.98% 2.99% 4.33% 2.64% 2.40% +3.07% +2.64% 1.18% 3.36% 1.67% 3.12% 8.95% 2.65% 2.07% 3.20% 5.10% 3.25% 1.97% 2.86% 3.76% 2.95% 2.66% +3.25% +2.95% 1.41% 2.39% 1.58% 4.36% 8.64% 2.27% 2.26% 2.63% 6.27% 3.49% 2.49% 2.93% 3.83% 3.03% 2.99% +3.37% +2.93% 1.68% 2.13% 2.51% 4.05% 8.61% 2.79% 3.05% 2.11% 5.84% 2.41% 2.32% 3.83% 4.33% 2.47% 2.97% +3.41% +2.79% 2.39% 1.63% 3.42% 3.43% 8.42% 3.93% 3.39% 1.46% 4.02% 4.21% 2.08% 2.45% 4.22% 1.66% 2.85% +3.30% +3.39% 2.16% 1.62% 3.11% 3.90% 7.96% 4.87% 3.31% 1.57% 4.45% 4.25% 2.89% 1.98% 5.40% 2.09% 2.07% +3.44% +3.11% 1.61% 1.76% 3.12% 2.46% 6.28% 5.42% 2.84% 1.64% 5.19% 2.81% 2.27% 2.24% 6.23% 2.68% 2.47% +3.27% +2.68% 2.15% 1.79% 3.72% 3.09% 11.13% 3.02% 4.23% 1.35% 6.68% 3.61% 1.69% 1.94% 5.18% 3.15% 2.22% +3.66% +3.09% 1.71% 1.70% 3.23% 3.70% 11.75% 3.72% 3.58% 2.45% 5.72% 3.67% 2.32% 3.35% 6.08% 2.70% 2.52% +3.88% +3.35% 2.06% 1.84% 2.71% 2.70% 10.34% 4.65% 2.18% 3.49% 5.98% 2.38% 3.48% 3.44% 5.10% 3.47% 2.60% +3.76% +3.44% 0.96% 3.01% 2.05% 2.50% 5.62% 6.98% 3.27% 1.63% 3.83% 2.86% 3.32% 3.45% 2.16% 3.93% 2.16% 1.77% +3.09% +2.93% 2.47% 1.67% 3.91% 2.79% 6.20% 3.47% 4.73% 2.04% 7.24% 2.86% 2.98% 5.05% 4.25% 4.09% 2.65% +3.76% +3.47% 2.51% 1.46% 2.35% 2.94% 6.13% 5.38% 4.05% 1.74% 5.83% 2.76% 2.87% 4.73% 4.56% 4.93% 2.76% +3.67% +2.94% 2.11% 1.07% 2.17% 2.96% 9.91% 4.55% 3.59% 1.85% 5.54% 1.54% 2.06% 3.72% 4.73% 5.17% 2.37% +3.55% +2.96% 2.40% 1.57% 2.15% 2.23% 7.51% 3.96% 2.92% 1.64% 5.09% 2.55% 1.52% 3.69% 6.72% 4.17% 1.57% +3.31% +2.55% 2.27% 1.85% 1.93% 4.65% 6.45% 3.92% 2.13% 2.57% 4.70% 1.82% 1.59% 3.09% 4.34% 3.45% 1.52% +3.09% +2.57% 2.75% 1.87% 3.14% 2.04% 5.94% 2.89% 2.89% 4.05% 5.22% 2.61% 1.00% 2.79% 3.61% 2.97% 1.44% +3.01% +2.89% 5.44% 1.47% 2.24% 2.08% 5.25% 2.45% 2.41% 2.92% 5.21% 1.88% 3.15% 2.76% 4.19% 2.74% 2.19% +3.09% +2.74% 3.12% 1.78% 2.38% 3.08% 4.82% 1.66% 2.16% 4.54% 4.94% 1.92% 3.16% 3.07% 4.18% 3.04% 1.41% +3.02% +3.07% 4.13% 1.35% 2.48% 2.43% 8.19% 1.53% 2.18% 3.19% 3.81% 1.69% 2.69% 1.80% 3.06% 3.72% 1.45% +2.91% +2.48% 2.91% 1.31% 2.11% 1.83% 7.59% 1.88% 3.18% 3.32% 4.63% 1.89% 2.60% 1.61% 3.12% 3.11% 1.62% +2.85% +2.60% 1.18% 2.63% 1.82% 5.87% 4.60% 3.82% 1.99% 5.31% 3.79% 3.64% 3.50% 3.97% 4.35% 2.28% 2.25% +3.40% +3.64% 2.13% 1.19% 2.11% 3.87% 10.14% 3.82% 2.18% 4.23% 4.50% 1.79% 2.38% 2.12% 2.92% 2.46% 1.97% +3.19% +2.38% 2.09% 1.81% 4.41% 4.64% 9.21% 2.85% 1.96% 6.34% 4.23% 1.80% 2.64% 1.55% 2.92% 1.78% 2.42% +3.38% +2.64% 2.00% 1.92% 1.83% 4.87% 9.51% 2.56% 2.01% 4.94% 3.89% 1.49% 2.67% 1.70% 3.01% 1.74% 1.91% +3.07% +2.01% 2.31% 2.98% 3.83% 5.14% 1.50% 1.39% 2.25% 3.96% 2.09% 3.05% 1.91% +2.77% +2.31% 1.78% 2.73% 3.02% 2.10% 4.33% 4.03% 4.13% 1.62% 5.63% 3.83% 3.21% 2.96% 3.79% 3.63% 1.90% +3.24% +3.21% 1.64% 2.94% 2.27% 4.30% 5.59% 3.44% 2.49% 4.09% 3.07% 3.01% 4.25% 2.67% 1.64% +3.18% +3.01% 1.80% 5.67% 3.01% 3.39% 4.02% 3.59% 2.97% 3.74% 2.18% 4.02% 3.59% 5.20% 2.07% 2.23% +3.39% +3.49% 4.22% 3.53% 1.96% 4.37% 4.41% 2.43% 3.57% 3.60% 2.04% 6.87% 3.57% 5.92% 2.63% 1.80% +3.64% +3.57% 2.44% 3.52% 3.24% 2.31% 2.82% 3.61% 3.60% 1.91% 4.75% 3.83% 2.47% 4.77% 5.23% 5.38% 3.17% 1.70% +3.42% +3.38%
4 Tiêu dùng không thiết yếu Dòng tiền ngành 8.71% 8.17% 8.47% 12.27% 10.75% 12.99% 12.47% 11.09% 9.64% 8.50% 7.40% 7.79% 8.80% 7.91% 7.94% +9.53% +8.71% 10.06% 6.99% 7.06% 11.31% 16.93% 14.86% 9.61% 8.36% 9.37% 7.98% 8.44% 8.90% 7.47% 7.48% 8.64% +9.56% +8.64% 8.79% 8.14% 6.89% 10.96% 14.09% 20.05% 10.61% 9.46% 9.00% 9.48% 7.36% 8.31% 6.40% 8.03% 8.28% +9.72% +8.79% 8.33% 10.25% 9.33% 8.39% 11.71% 14.23% 15.35% 7.69% 8.08% 9.49% 10.86% 6.67% 9.43% 6.69% 7.75% 7.53% +9.48% +8.86% 7.05% 9.00% 6.92% 8.81% 10.75% 15.80% 16.54% 8.04% 6.51% 10.63% 9.47% 6.33% 9.45% 7.29% 7.02% 7.96% +9.22% +8.43% 10.54% 8.84% 6.03% 9.17% 8.86% 16.60% 15.96% 7.40% 6.17% 11.33% 9.71% 7.35% 10.28% 5.96% 8.55% 7.30% +9.52% +8.86% 12.45% 8.50% 7.52% 11.62% 7.63% 17.57% 15.04% 8.08% 6.06% 9.96% 11.54% 6.92% 11.84% 6.82% 8.21% +9.98% +8.50% 10.61% 8.03% 8.43% 10.34% 7.91% 17.49% 16.83% 8.54% 7.12% 10.63% 10.17% 5.43% 9.05% 6.78% 9.94% +9.82% +9.05% 10.84% 9.25% 8.73% 10.94% 10.91% 14.59% 18.88% 12.23% 7.74% 9.80% 9.93% 5.24% 9.88% 7.93% 8.84% +10.38% +9.88% 11.92% 7.71% 9.83% 10.45% 11.04% 13.24% 15.52% 11.49% 7.98% 12.31% 9.51% 5.85% 8.16% 8.25% 10.97% +10.28% +10.45% 10.85% 7.44% 7.96% 9.66% 12.12% 11.45% 13.03% 11.99% 10.07% 11.15% 10.00% 6.65% 8.92% 7.62% 10.00% +9.93% +10.00% 9.76% 7.89% 6.24% 10.87% 11.08% 11.86% 11.49% 11.90% 10.71% 9.19% 10.63% 7.83% 9.01% 8.09% 7.76% +9.62% +9.76% 9.19% 9.38% 6.60% 8.72% 10.02% 15.60% 15.91% 7.67% 7.01% 10.65% 9.90% 6.86% 9.78% 6.64% 7.91% 7.68% +9.46% +9.19% 11.37% 8.69% 8.16% 10.90% 8.62% 16.18% 17.06% 9.66% 6.86% 10.16% 10.42% 5.76% 10.47% 7.30% 9.04% +10.04% +9.66% 10.91% 7.72% 8.20% 10.30% 11.39% 12.32% 13.42% 11.80% 9.66% 10.98% 10.11% 6.77% 8.73% 7.95% 9.76% +10.00% +10.11% 9.06% 7.79% 7.46% 11.45% 13.73% 15.79% 10.87% 9.50% 9.38% 8.62% 7.67% 8.42% 7.43% 7.79% 8.26% +9.55% +8.62% 7.28% 8.99% 5.33% 9.02% 9.79% 19.89% 18.38% 8.26% 7.17% 12.68% 8.27% 7.80% 10.02% 5.88% 8.50% 7.59% +9.68% +8.39% 9.50% 7.34% 5.86% 8.65% 9.47% 14.39% 14.99% 7.85% 5.69% 11.13% 9.38% 7.20% 10.85% 5.50% 8.65% 6.75% +9.10% +8.65% 9.95% 8.67% 5.89% 10.38% 8.22% 13.61% 14.46% 6.09% 5.98% 10.95% 11.35% 7.41% 9.47% 5.89% 8.08% +9.09% +8.67% 13.31% 9.61% 6.94% 8.90% 8.74% 17.03% 16.09% 7.39% 6.09% 9.57% 9.80% 6.80% 9.95% 6.53% 8.42% +9.68% +8.90% 14.26% 9.32% 6.61% 12.82% 7.90% 16.57% 16.92% 7.94% 5.88% 9.64% 10.78% 7.13% 11.21% 6.14% 8.03% +10.08% +9.32% 12.83% 8.41% 6.94% 12.31% 6.30% 16.91% 17.29% 7.02% 5.57% 10.47% 11.73% 7.63% 12.00% 6.96% 8.40% +10.05% +8.41% 12.34% 9.24% 7.68% 9.77% 8.26% 15.97% 15.18% 7.82% 6.03% 9.97% 11.25% 6.75% 11.66% 7.49% 6.86% +9.75% +9.24% 11.89% 8.59% 8.58% 9.93% 8.06% 20.53% 13.59% 9.66% 7.08% 9.70% 11.76% 7.17% 12.71% 7.03% 10.15% +10.43% +9.70% 12.42% 8.21% 8.70% 8.47% 6.31% 18.08% 13.94% 8.23% 6.16% 8.66% 11.52% 6.23% 10.74% 7.65% 14.76% +10.00% +8.66% 11.63% 8.55% 8.74% 8.64% 8.15% 20.45% 16.28% 9.03% 7.60% 8.90% 10.00% 5.53% 10.22% 6.89% 9.26% +9.99% +8.90% 10.07% 7.68% 16.65% 7.71% 8.55% 8.78% 11.54% 6.15% 8.86% 8.26% +9.42% +8.66% 10.76% 9.07% 7.64% 12.22% 7.53% 16.54% 17.66% 8.99% 7.62% 9.34% 10.57% 5.41% 9.54% 6.41% 10.13% +9.96% +9.34% 9.58% 7.73% 7.75% 10.92% 8.34% 16.38% 15.72% 8.02% 7.45% 12.42% 10.59% 5.46% 8.19% 6.20% 8.76% +9.57% +8.34% 10.03% 7.32% 9.47% 10.11% 7.59% 16.86% 18.13% 8.28% 6.40% 12.53% 9.53% 5.46% 8.72% 8.10% 10.51% +9.94% +9.47% 10.23% 7.76% 8.41% 11.65% 8.60% 14.38% 16.74% 11.73% 7.12% 9.87% 8.22% 4.67% 9.40% 8.17% 8.99% +9.73% +8.99% 11.02% 8.30% 7.47% 11.22% 11.06% 14.59% 18.78% 11.10% 7.90% 10.64% 10.65% 4.82% 10.01% 7.71% 8.23% +10.23% +10.64% 9.54% 9.64% 9.95% 11.43% 11.19% 15.91% 20.39% 12.41% 7.78% 8.49% 10.31% 5.70% 9.93% 7.21% 8.90% +10.58% +9.93% 11.98% 10.20% 9.95% 9.10% 11.94% 13.80% 19.08% 15.04% 9.00% 10.36% 10.02% 5.98% 9.82% 8.26% 9.37% +10.93% +10.02% 11.43% 10.68% 10.09% 9.93% 11.75% 14.36% 17.38% 12.59% 7.34% 13.16% 11.00% 5.16% 9.72% 8.08% 12.72% +11.03% +11.00% 11.28% 7.67% 10.37% 9.27% 10.45% 14.37% 16.05% 10.25% 6.69% 12.58% 8.88% 5.93% 8.13% 8.83% 10.99% +10.12% +10.25% 11.87% 8.03% 10.13% 11.78% 11.19% 13.01% 16.81% 11.64% 7.95% 11.89% 11.36% 5.61% 7.24% 8.22% 10.63% +10.49% +11.19% 8.41% 10.47% 8.76% 8.58% 13.79% 11.32% 16.28% 8.63% 8.72% 9.08% 10.87% 6.18% 11.22% 6.70% 6.70% 7.40% +9.57% +8.74% 13.09% 7.45% 9.42% 10.24% 11.32% 12.96% 13.34% 12.57% 9.01% 12.00% 8.55% 5.91% 8.78% 7.80% 10.01% +10.16% +10.01% 11.46% 7.00% 7.89% 9.89% 10.86% 11.33% 15.29% 9.09% 9.81% 11.67% 8.93% 6.45% 8.10% 8.14% 10.20% +9.74% +9.81% 13.46% 6.78% 8.73% 9.81% 12.43% 12.05% 12.96% 14.42% 9.17% 11.44% 9.29% 6.18% 7.69% 7.90% 9.32% +10.11% +9.32% 10.73% 6.52% 5.97% 8.73% 13.38% 11.81% 11.49% 11.20% 10.50% 11.56% 8.75% 6.95% 8.59% 7.34% 11.77% +9.69% +10.50% 10.89% 7.70% 8.92% 10.18% 12.50% 10.78% 13.49% 12.51% 11.35% 11.02% 9.35% 6.45% 8.35% 6.68% 9.67% +9.99% +10.18% 9.48% 7.81% 7.43% 9.96% 10.85% 10.95% 15.09% 11.64% 9.22% 10.44% 11.23% 6.69% 10.38% 8.34% 9.47% +9.93% +9.96% 7.66% 7.81% 6.15% 10.09% 11.30% 12.39% 12.21% 9.20% 11.06% 9.20% 12.39% 7.22% 10.16% 7.87% 8.84% +9.57% +9.20% 11.10% 8.24% 7.82% 9.88% 12.18% 10.77% 10.27% 11.97% 12.04% 11.10% 11.65% 7.14% 9.07% 7.84% 8.00% +9.94% +10.27% 9.41% 8.02% 5.19% 12.00% 10.74% 10.61% 9.55% 13.58% 10.05% 7.78% 11.14% 8.18% 9.23% 8.46% 7.63% +9.44% +9.41% 9.46% 7.57% 5.81% 10.17% 10.54% 13.19% 12.32% 12.28% 10.16% 9.39% 10.17% 8.30% 8.89% 8.19% 7.16% +9.57% +9.46% 9.05% 10.74% 10.10% 8.56% 11.37% 14.92% 16.86% 6.80% 8.73% 10.79% 9.81% 6.43% 9.75% 6.61% 8.97% 6.75% +9.76% +9.40% 8.69% 7.66% 6.69% 11.92% 10.26% 14.54% 13.19% 10.30% 9.04% 8.74% 7.48% 7.68% 8.84% 7.80% 7.63% +9.36% +8.74% 8.84% 8.05% 8.73% 13.19% 10.36% 12.87% 11.46% 11.79% 10.16% 7.81% 7.17% 7.48% 8.18% 8.47% 8.74% +9.55% +8.74% 8.33% 8.59% 9.43% 12.34% 9.74% 10.50% 13.31% 12.38% 9.71% 8.05% 6.57% 7.59% 8.60% 8.13% 8.38% +9.44% +8.60% 8.50% 7.89% 8.92% 12.07% 13.34% 14.75% 12.55% 10.71% 9.58% 8.94% 7.66% 7.78% 9.49% 7.27% 6.86% +9.75% +8.94% 9.27% 8.65% 8.11% 11.59% 10.34% 13.24% 13.10% 9.44% 9.63% 8.47% 8.43% 8.38% 8.97% 8.43% 9.81% +9.72% +9.27% 9.97% 7.32% 6.07% 10.20% 12.55% 11.33% 10.50% 8.35% 9.94% 7.47% 10.17% 8.24% 8.33% 7.94% 7.74% +9.07% +8.35% 9.73% 7.26% 6.11% 10.56% 17.65% 13.92% 10.57% 8.84% 10.01% 8.80% 9.00% 9.24% 7.58% 7.04% 7.65% +9.60% +9.00% 9.74% 6.57% 8.10% 12.15% 21.54% 15.62% 9.33% 7.42% 9.09% 7.41% 8.36% 9.81% 7.76% 7.35% 8.60% +9.92% +8.60% 11.30% 6.24% 7.48% 12.00% 14.89% 17.85% 9.23% 8.21% 8.31% 8.46% 7.33% 8.41% 7.44% 6.40% 9.49% +9.54% +8.41% 9.78% 7.40% 7.96% 11.85% 15.30% 16.03% 8.83% 9.11% 7.99% 8.02% 7.13% 8.87% 6.35% 7.92% 7.73% +9.35% +8.02% 7.77% 9.99% 9.08% 9.56% 15.84% 14.27% 7.45% 7.31% 9.16% 11.51% 6.79% 8.76% 7.60% 6.82% 8.02% +9.33% +8.76% 9.13% 7.95% 7.17% 11.07% 14.86% 17.44% 12.20% 8.60% 8.66% 9.43% 7.12% 7.63% 5.84% 7.43% 7.87% +9.49% +8.60% 7.70% 7.94% 4.35% 9.00% 12.83% 14.34% 9.53% 9.75% 10.47% 9.01% 7.12% 8.51% 6.34% 9.07% 9.61% +9.04% +9.01% 7.94% 9.34% 8.82% 11.66% 13.63% 33.82% 10.49% 10.58% 9.10% 11.23% 7.80% 7.92% 6.94% 8.37% 8.19% +11.06% +9.10% 10.28% 7.73% 11.80% 13.56% 16.44% 10.86% 11.31% 7.55% 8.65% 7.23% 8.09% +10.32% +10.28% 7.58% 9.86% 8.50% 7.65% 11.31% 14.82% 14.12% 7.40% 6.60% 9.58% 11.28% 7.28% 7.41% 7.70% 8.16% +9.28% +8.16% 7.32% 7.29% 9.00% 9.59% 16.14% 16.25% 7.89% 7.52% 9.03% 6.88% 7.71% 6.59% 7.97% +9.17% +7.89% 6.52% 9.67% 6.86% 11.92% 14.49% 8.70% 5.43% 10.11% 9.53% 6.23% 7.47% 6.39% 7.17% 8.76% +8.52% +8.08% 9.13% 6.28% 9.18% 11.08% 15.76% 7.21% 5.53% 10.58% 9.50% 6.12% 9.37% 7.14% 6.55% 8.26% +8.69% +8.69% 7.17% 8.59% 6.59% 8.34% 9.68% 16.81% 16.74% 8.49% 5.90% 11.77% 9.84% 6.03% 10.71% 6.43% 8.09% 7.08% +9.27% +8.42%
5 Tiêu dùng thiết yếu Dòng tiền ngành 10.22% 8.71% 10.86% 9.16% 11.60% 14.58% 15.33% 9.45% 11.67% 9.53% 12.36% 5.98% 8.89% 6.38% 8.25% +10.20% +9.53% 8.05% 9.50% 11.48% 8.80% 11.84% 18.07% 19.37% 11.86% 15.46% 8.63% 9.21% 6.94% 7.50% 6.22% 7.93% +10.73% +9.21% 5.65% 9.53% 8.51% 9.10% 10.72% 18.62% 19.76% 11.29% 10.97% 9.77% 9.34% 8.13% 7.44% 8.83% 7.54% +10.35% +9.34% 10.02% 8.44% 10.93% 7.48% 7.38% 11.06% 15.43% 16.61% 9.14% 10.87% 7.39% 9.52% 6.62% 8.13% 6.98% 7.95% +9.62% +8.79% 12.72% 6.51% 8.45% 6.52% 10.43% 9.26% 19.14% 12.95% 8.18% 11.04% 8.96% 7.40% 5.62% 7.34% 7.97% 7.29% +9.36% +8.32% 10.25% 7.89% 6.19% 7.73% 9.95% 8.30% 17.70% 12.49% 9.69% 9.30% 11.08% 7.47% 7.17% 7.07% 7.88% 6.71% +9.34% +8.30% 8.37% 11.60% 7.77% 9.23% 8.10% 8.18% 17.23% 9.30% 10.68% 9.53% 12.30% 7.19% 7.68% 7.50% 7.21% +9.46% +8.37% 8.32% 13.49% 10.15% 8.47% 9.37% 9.37% 15.87% 10.50% 11.68% 9.01% 11.71% 5.18% 7.68% 6.81% 9.29% +9.79% +9.37% 7.50% 10.24% 7.77% 9.09% 8.25% 7.90% 14.71% 12.05% 10.07% 9.37% 11.55% 5.31% 8.92% 7.88% 8.31% +9.26% +8.92% 8.01% 9.75% 6.56% 12.59% 8.37% 11.47% 13.69% 11.41% 13.34% 8.72% 14.05% 5.26% 9.94% 8.59% 8.02% +9.99% +9.75% 9.42% 7.08% 7.79% 15.07% 10.14% 13.30% 20.71% 10.55% 12.23% 7.70% 12.92% 5.92% 9.51% 6.95% 9.16% +10.56% +9.51% 7.29% 8.59% 11.24% 8.55% 9.36% 11.22% 22.17% 8.80% 11.80% 8.39% 12.37% 6.81% 10.42% 6.02% 7.60% +10.04% +8.80% 10.53% 7.71% 7.30% 7.26% 9.60% 9.47% 17.35% 13.39% 9.12% 10.23% 9.47% 8.22% 6.60% 7.47% 7.64% 7.33% +9.42% +9.12% 8.11% 11.56% 8.75% 8.90% 8.54% 8.39% 15.85% 10.70% 10.81% 9.29% 11.79% 5.78% 8.05% 7.47% 8.32% +9.49% +8.75% 8.20% 8.34% 8.22% 12.29% 9.35% 12.02% 18.70% 10.31% 12.42% 8.27% 13.03% 5.99% 9.90% 7.11% 8.30% +10.16% +9.35% 7.25% 9.22% 9.99% 9.02% 11.42% 17.04% 18.19% 11.00% 12.54% 9.29% 10.14% 7.10% 7.88% 7.09% 7.93% +10.34% +9.29% 10.32% 6.29% 6.63% 6.66% 10.08% 6.00% 18.35% 8.48% 9.47% 9.47% 7.42% 7.16% 5.80% 7.63% 8.43% 6.75% +8.43% +7.53% 12.09% 8.12% 5.89% 5.06% 10.83% 6.05% 17.94% 13.41% 11.41% 8.59% 10.60% 8.31% 7.03% 7.56% 9.01% 6.62% +9.46% +8.59% 9.20% 7.76% 6.34% 9.84% 11.52% 13.06% 18.09% 16.46% 8.80% 8.40% 12.20% 7.85% 7.16% 7.24% 6.70% +10.04% +8.80% 8.99% 8.46% 5.65% 10.58% 8.00% 9.98% 18.27% 12.85% 10.84% 10.78% 14.30% 7.16% 7.24% 5.80% 7.84% +9.78% +8.99% 10.30% 9.08% 7.01% 8.81% 7.99% 9.22% 16.07% 9.16% 10.15% 9.58% 12.21% 6.76% 8.55% 5.55% 7.00% +9.16% +9.08% 8.71% 11.89% 6.91% 8.30% 8.93% 9.73% 16.67% 8.71% 9.30% 8.93% 10.73% 6.72% 7.25% 6.67% 7.63% +9.14% +8.71% 8.39% 9.62% 7.90% 11.08% 7.13% 7.25% 15.74% 9.12% 12.12% 9.74% 11.92% 7.51% 7.54% 10.09% 7.39% +9.50% +9.12% 7.55% 11.78% 9.13% 9.84% 8.68% 6.89% 17.20% 10.27% 11.91% 10.01% 13.29% 7.64% 8.05% 9.23% 6.84% +9.89% +9.23% 8.44% 12.39% 8.98% 12.22% 7.41% 7.97% 19.13% 12.02% 13.02% 10.30% 13.96% 6.70% 7.84% 9.09% 7.50% +10.46% +9.09% 8.82% 14.47% 10.91% 8.64% 9.62% 7.86% 16.22% 11.11% 12.42% 8.17% 12.65% 5.99% 7.98% 6.31% 9.63% +10.05% +9.62% 11.75% 5.88% 5.67% 15.39% 8.10% 9.02% 8.08% 8.55% 7.71% 7.54% +8.77% +8.09% 7.87% 13.43% 9.73% 10.51% 11.86% 11.73% 15.66% 9.79% 13.20% 8.80% 13.02% 6.08% 7.58% 7.03% 10.24% +10.44% +10.24% 8.61% 15.27% 10.55% 8.51% 7.98% 9.12% 14.47% 10.41% 10.66% 8.89% 10.73% 4.87% 7.14% 6.34% 8.82% +9.49% +8.89% 7.95% 11.80% 9.83% 7.12% 8.00% 9.20% 19.18% 9.88% 9.15% 9.65% 10.62% 4.41% 8.15% 6.61% 9.23% +9.38% +9.20% 7.34% 13.65% 8.61% 7.54% 7.72% 7.34% 12.70% 10.78% 9.08% 8.68% 12.84% 4.32% 8.29% 7.30% 8.88% +9.00% +8.61% 8.31% 10.03% 7.20% 10.04% 8.51% 6.61% 13.24% 13.41% 10.47% 8.85% 10.29% 4.68% 8.97% 8.07% 8.50% +9.15% +8.85% 7.84% 8.75% 7.63% 9.14% 8.51% 6.95% 14.67% 11.94% 10.13% 10.30% 12.59% 6.09% 8.50% 8.00% 8.13% +9.28% +8.51% 7.22% 10.47% 7.21% 9.85% 8.29% 9.54% 15.45% 12.76% 11.61% 9.48% 10.92% 6.49% 8.97% 8.89% 7.65% +9.65% +9.48% 6.53% 9.59% 6.49% 12.39% 7.48% 9.94% 16.74% 9.54% 11.04% 8.84% 12.47% 4.93% 9.65% 9.84% 7.00% +9.50% +9.59% 7.24% 10.40% 7.33% 13.26% 8.86% 9.83% 11.80% 11.80% 11.60% 8.44% 13.13% 4.70% 10.37% 9.06% 9.11% +9.80% +9.83% 7.54% 10.40% 6.72% 13.33% 7.27% 9.86% 10.98% 12.68% 14.13% 9.46% 14.14% 5.11% 9.63% 7.79% 6.62% +9.71% +9.63% 10.18% 7.84% 10.13% 9.26% 5.14% 13.28% 16.26% 15.12% 9.91% 11.09% 7.31% 9.90% 7.07% 8.34% 6.36% 8.73% +9.75% +9.58% 8.87% 8.89% 5.71% 10.89% 9.62% 11.01% 15.99% 11.98% 15.52% 7.72% 14.78% 5.37% 10.44% 7.86% 7.14% +10.12% +9.62% 8.75% 9.72% 6.99% 14.10% 8.81% 17.29% 16.88% 13.00% 14.49% 8.40% 14.32% 6.34% 9.39% 7.51% 11.00% +11.13% +9.72% 10.06% 7.90% 8.05% 13.40% 11.63% 16.87% 18.69% 12.01% 15.13% 7.86% 14.51% 5.30% 9.24% 8.46% 10.87% +11.33% +10.87% 9.82% 8.40% 6.97% 12.50% 11.90% 15.69% 21.67% 10.20% 10.34% 7.67% 13.79% 6.33% 9.33% 6.30% 9.81% +10.71% +9.82% 9.15% 7.54% 8.15% 16.10% 9.05% 11.22% 22.16% 9.13% 11.41% 7.44% 11.93% 5.42% 9.41% 6.28% 7.79% +10.15% +9.13% 8.47% 5.87% 8.09% 18.06% 9.19% 10.44% 17.55% 7.66% 10.95% 8.13% 11.87% 5.55% 9.85% 6.51% 7.94% +9.74% +8.47% 8.44% 6.64% 11.19% 17.18% 8.39% 10.23% 24.71% 7.79% 14.53% 7.06% 12.92% 8.12% 9.86% 6.53% 7.97% +10.77% +8.44% 7.15% 8.38% 10.22% 8.70% 9.60% 9.73% 23.83% 10.26% 11.33% 6.91% 14.69% 6.25% 9.23% 5.60% 9.87% +10.12% +9.60% 7.18% 8.87% 10.44% 5.93% 11.17% 12.37% 24.17% 7.75% 11.43% 9.26% 11.72% 7.08% 10.95% 5.97% 7.54% +10.12% +9.26% 6.40% 9.06% 14.26% 6.48% 7.82% 11.40% 21.68% 9.23% 10.92% 9.82% 11.09% 7.26% 10.85% 6.14% 6.25% +9.91% +9.23% 9.10% 7.61% 10.95% 7.00% 8.05% 10.51% 15.75% 16.20% 10.38% 10.38% 6.82% 10.14% 6.78% 7.77% 6.54% 7.34% +9.46% +8.57% 9.12% 8.33% 13.18% 6.96% 10.04% 14.31% 18.29% 8.94% 10.31% 7.96% 11.96% 6.31% 10.93% 6.62% 6.47% +9.98% +9.12% 9.84% 8.36% 8.82% 8.52% 11.42% 13.11% 15.29% 7.64% 10.18% 7.96% 13.00% 5.70% 9.15% 6.29% 9.50% +9.65% +9.15% 11.13% 8.12% 10.18% 9.74% 10.85% 16.30% 16.03% 9.70% 12.41% 9.91% 13.35% 6.27% 8.99% 6.04% 8.39% +10.49% +9.91% 10.42% 10.78% 12.73% 10.11% 11.57% 15.14% 15.42% 10.49% 14.19% 11.09% 11.12% 5.78% 9.31% 6.75% 8.03% +10.86% +10.78% 10.23% 8.87% 8.88% 10.13% 12.97% 13.76% 15.00% 10.90% 14.46% 10.31% 11.98% 6.17% 8.36% 5.49% 9.31% +10.45% +10.23% 9.85% 6.40% 10.51% 9.32% 14.21% 17.50% 15.53% 19.67% 17.26% 8.95% 10.20% 6.68% 7.50% 5.73% 8.65% +11.20% +9.85% 8.03% 8.88% 10.10% 9.75% 12.98% 14.39% 17.26% 11.92% 16.24% 9.40% 9.62% 8.10% 8.15% 6.39% 7.75% +10.60% +9.62% 9.04% 9.67% 16.18% 6.86% 10.79% 20.44% 18.69% 10.25% 12.34% 8.46% 9.35% 6.96% 7.68% 6.06% 7.29% +10.67% +9.35% 6.95% 12.86% 13.08% 10.20% 9.53% 19.08% 18.85% 8.14% 15.77% 7.43% 8.30% 6.37% 7.40% 8.00% 7.58% +10.64% +8.30% 5.73% 10.71% 9.94% 8.49% 9.39% 21.59% 23.67% 11.68% 10.81% 10.74% 8.23% 6.19% 6.40% 7.04% 6.62% +10.48% +9.39% 10.62% 8.50% 7.24% 8.62% 8.62% 14.78% 22.21% 8.04% 12.33% 6.87% 9.29% 6.57% 7.79% 7.47% 7.86% +9.79% +8.50% 5.10% 9.55% 10.57% 11.51% 10.62% 19.82% 19.59% 12.85% 10.58% 9.83% 9.49% 6.87% 6.66% 9.41% 7.35% +10.65% +9.83% 5.46% 9.26% 8.54% 9.80% 11.13% 17.15% 20.66% 11.27% 12.38% 10.08% 10.50% 6.81% 7.95% 10.28% 8.45% +10.65% +10.08% 6.05% 9.04% 6.40% 6.99% 11.75% 16.82% 20.99% 9.51% 10.05% 8.85% 8.88% 9.37% 7.93% 9.83% 7.71% +10.01% +9.04% 6.69% 9.79% 8.11% 11.34% 18.78% 18.40% 7.83% 9.37% 10.53% 9.08% 8.17% +10.73% +9.37% 10.46% 9.77% 11.33% 7.16% 8.20% 11.60% 14.96% 19.55% 8.50% 10.78% 8.39% 8.73% 5.86% 7.65% 7.03% +10.00% +8.73% 11.97% 8.26% 6.34% 10.50% 8.05% 18.29% 14.97% 8.51% 9.42% 7.48% 7.96% 7.94% 7.87% +9.81% +8.26% 14.79% 6.46% 8.48% 9.48% 9.45% 12.00% 10.74% 12.44% 7.76% 7.32% 4.93% 7.32% 8.98% 7.10% +9.09% +8.73% 7.03% 7.65% 5.61% 10.04% 20.19% 11.40% 7.03% 11.29% 9.77% 7.63% 6.77% 6.68% 7.62% 7.04% +8.98% +7.63% 11.90% 6.14% 7.61% 7.97% 11.65% 10.39% 18.81% 10.05% 6.75% 9.85% 8.77% 7.24% 5.35% 7.55% 7.93% 7.24% +9.07% +7.95%
6 Tài chính Dòng tiền ngành 17.36% 29.25% 29.37% 15.01% 16.07% 16.29% 8.76% 18.23% 28.23% 20.76% 32.23% 24.73% 29.29% 33.02% 41.25% +23.99% +24.73% 19.27% 34.82% 33.64% 14.14% 11.75% 10.69% 6.48% 18.18% 24.45% 17.96% 27.54% 29.99% 34.17% 33.10% 30.23% +23.09% +24.45% 27.08% 35.22% 33.69% 13.15% 15.60% 13.91% 7.53% 19.51% 28.15% 13.89% 29.69% 24.54% 35.87% 32.63% 31.78% +24.15% +27.08% 21.63% 24.79% 38.10% 31.29% 20.78% 21.12% 13.66% 13.87% 30.82% 25.16% 29.72% 32.06% 27.28% 36.34% 39.96% 34.97% +27.60% +28.50% 22.00% 25.92% 40.55% 27.55% 20.97% 22.64% 15.44% 10.46% 34.04% 24.23% 36.51% 32.36% 28.72% 31.88% 37.67% 35.93% +27.93% +28.13% 19.28% 28.28% 43.18% 26.08% 22.89% 14.63% 11.61% 11.49% 33.57% 20.89% 33.66% 34.01% 19.58% 38.05% 35.02% 42.02% +26.15% +26.08% 10.88% 26.26% 32.84% 23.58% 24.36% 14.32% 11.69% 13.56% 35.04% 16.26% 24.76% 36.68% 23.81% 34.09% 35.50% +24.24% +24.36% 15.50% 28.44% 26.47% 20.15% 24.29% 14.81% 13.51% 13.83% 30.64% 17.93% 25.32% 47.85% 25.45% 31.50% 29.91% +24.37% +25.32% 14.97% 28.37% 32.15% 20.05% 23.32% 20.66% 9.16% 17.37% 32.21% 16.87% 22.72% 45.36% 21.58% 31.55% 29.41% +24.38% +22.72% 15.51% 31.65% 33.30% 12.69% 15.40% 26.55% 10.59% 16.78% 32.58% 18.35% 21.09% 44.66% 29.44% 30.24% 29.19% +24.53% +26.55% 14.35% 35.93% 34.75% 15.57% 13.19% 23.62% 7.10% 17.45% 30.23% 16.62% 21.66% 34.78% 27.57% 30.22% 31.48% +23.63% +23.62% 18.04% 28.63% 33.63% 19.00% 15.31% 21.87% 9.45% 15.01% 28.15% 19.71% 24.83% 25.09% 22.82% 32.18% 37.79% +23.43% +22.82% 20.57% 26.42% 41.92% 28.83% 21.87% 18.43% 13.14% 11.58% 32.58% 23.00% 33.70% 32.91% 24.46% 35.40% 37.15% 37.13% +26.80% +26.42% 13.62% 27.81% 30.06% 21.02% 24.05% 17.36% 11.23% 14.96% 32.88% 17.07% 24.09% 43.78% 23.60% 32.21% 31.47% +24.35% +24.05% 15.98% 31.44% 33.96% 15.47% 14.67% 24.48% 9.08% 16.49% 30.24% 18.15% 22.75% 34.83% 26.67% 30.87% 32.34% +23.83% +24.48% 23.07% 32.93% 32.24% 14.02% 14.54% 13.59% 7.57% 18.67% 27.14% 17.66% 29.80% 26.79% 33.43% 32.93% 34.92% +23.95% +26.79% 23.59% 26.15% 45.04% 28.26% 21.79% 13.41% 13.86% 7.96% 31.42% 18.70% 42.41% 31.87% 25.23% 34.81% 36.22% 42.33% +27.69% +27.21% 17.26% 26.03% 46.74% 28.89% 21.51% 16.13% 10.11% 10.31% 35.01% 22.48% 34.87% 31.98% 19.91% 38.75% 33.46% 41.48% +26.23% +26.03% 19.02% 32.80% 41.62% 23.48% 23.87% 13.73% 12.90% 15.24% 37.16% 23.07% 28.50% 35.14% 18.70% 40.40% 34.05% +26.65% +23.87% 19.93% 27.35% 37.95% 22.38% 22.60% 16.25% 11.35% 14.16% 29.11% 19.82% 28.99% 34.00% 16.54% 42.06% 35.99% +25.23% +22.60% 15.25% 27.20% 41.81% 24.42% 24.57% 13.59% 10.06% 15.73% 32.85% 16.13% 29.30% 40.06% 18.31% 37.06% 33.61% +25.33% +24.57% 9.75% 24.49% 35.94% 24.59% 23.66% 15.16% 10.64% 13.87% 38.22% 15.78% 28.19% 38.81% 25.07% 34.01% 34.55% +24.85% +24.59% 10.81% 26.68% 30.16% 23.16% 26.10% 15.75% 11.18% 12.03% 34.33% 16.29% 25.81% 34.38% 24.56% 33.90% 37.65% +24.19% +25.81% 10.66% 26.22% 27.03% 20.40% 23.97% 12.49% 11.77% 12.83% 34.21% 16.97% 21.63% 33.16% 22.34% 29.80% 36.83% +22.69% +22.34% 11.44% 28.26% 23.70% 21.25% 22.89% 13.75% 13.21% 10.87% 29.23% 17.43% 20.69% 39.74% 23.33% 28.36% 28.44% +22.17% +22.89% 13.43% 25.25% 23.75% 21.39% 25.35% 12.45% 12.39% 10.68% 34.66% 21.57% 24.11% 45.75% 21.89% 29.94% 28.94% +23.44% +23.75% 35.68% 34.20% 13.97% 13.54% 28.52% 25.13% 18.97% 35.74% 39.89% 35.39% +28.10% +31.36% 15.29% 25.61% 30.48% 16.01% 24.71% 12.71% 14.32% 11.85% 30.02% 18.37% 25.73% 47.31% 26.00% 33.25% 31.10% +24.18% +25.61% 17.47% 29.38% 27.81% 19.33% 22.25% 13.27% 14.76% 18.74% 27.41% 17.79% 26.99% 48.29% 27.86% 33.23% 31.07% +25.04% +26.99% 17.35% 30.87% 28.83% 21.81% 24.69% 19.13% 12.57% 16.01% 32.17% 14.26% 24.28% 49.17% 25.68% 32.18% 28.57% +25.17% +24.69% 16.11% 29.26% 31.26% 20.54% 24.43% 21.07% 11.21% 19.25% 35.71% 15.63% 25.60% 50.01% 21.34% 32.59% 27.37% +25.43% +24.43% 15.14% 27.87% 34.02% 17.96% 24.92% 15.00% 12.42% 17.63% 30.25% 16.08% 23.05% 48.50% 19.22% 32.83% 32.50% +24.49% +23.05% 15.00% 28.13% 31.85% 18.68% 24.54% 23.12% 9.12% 20.03% 31.76% 17.71% 22.80% 41.73% 22.07% 30.03% 29.15% +24.38% +23.12% 14.55% 28.72% 31.82% 23.58% 19.04% 24.29% 7.48% 13.19% 29.19% 17.79% 19.05% 40.42% 21.48% 28.98% 28.14% +23.18% +23.58% 13.29% 28.87% 33.72% 14.83% 19.41% 25.25% 6.37% 19.28% 35.25% 16.66% 18.30% 45.88% 26.87% 32.57% 27.00% +24.24% +25.25% 14.75% 33.86% 34.78% 13.81% 16.47% 27.70% 10.65% 16.23% 35.64% 16.89% 22.30% 48.65% 30.82% 32.46% 24.16% +25.28% +24.16% 18.25% 31.75% 33.03% 10.40% 13.92% 28.68% 13.00% 14.27% 34.31% 21.11% 21.67% 46.28% 29.83% 31.20% 32.14% +25.32% +28.68% 21.27% 24.51% 43.04% 32.56% 20.15% 17.39% 12.92% 13.91% 32.04% 24.75% 27.71% 33.45% 23.38% 36.29% 40.49% 34.44% +27.39% +26.23% 15.07% 32.94% 31.60% 12.62% 13.10% 27.77% 11.22% 16.57% 28.20% 19.34% 20.79% 41.44% 28.41% 26.97% 34.98% +24.07% +26.97% 14.33% 26.94% 33.81% 13.85% 14.54% 21.43% 7.31% 18.25% 26.20% 15.91% 21.98% 38.17% 29.22% 27.66% 29.16% +22.58% +21.98% 12.46% 38.17% 33.21% 13.40% 12.06% 23.65% 8.39% 16.78% 29.21% 14.62% 18.76% 38.55% 30.77% 28.59% 31.13% +23.32% +23.65% 14.46% 34.28% 38.74% 13.71% 10.61% 23.51% 6.37% 23.51% 34.72% 16.62% 21.32% 33.89% 27.23% 29.99% 27.70% +23.78% +23.51% 14.71% 38.23% 33.61% 16.24% 14.50% 23.52% 6.04% 14.55% 29.40% 17.53% 23.46% 36.30% 28.12% 33.86% 31.67% +24.12% +23.52% 14.31% 35.70% 35.33% 18.37% 14.33% 23.24% 6.57% 14.35% 30.41% 18.69% 22.68% 34.80% 26.57% 30.63% 35.13% +24.08% +23.24% 16.66% 35.41% 29.92% 16.92% 13.91% 23.65% 9.44% 13.02% 28.63% 17.15% 23.29% 23.92% 23.36% 28.74% 31.63% +22.38% +23.36% 15.39% 32.33% 30.86% 19.18% 14.68% 27.06% 9.51% 13.37% 29.72% 17.82% 21.86% 27.70% 24.25% 31.16% 31.55% +23.10% +24.25% 18.73% 25.48% 39.24% 25.56% 15.26% 22.46% 11.16% 16.88% 28.12% 20.41% 22.20% 22.93% 20.93% 34.29% 37.51% +24.08% +22.46% 22.62% 27.55% 32.04% 14.42% 14.45% 18.04% 7.69% 16.07% 26.70% 21.56% 29.33% 24.93% 22.66% 34.65% 44.65% +23.82% +22.66% 20.77% 25.22% 35.25% 29.15% 19.60% 21.95% 13.01% 14.41% 29.12% 21.29% 32.50% 33.06% 23.17% 37.47% 42.25% 33.58% +26.99% +27.17% 16.79% 27.05% 30.69% 16.36% 18.06% 16.64% 9.29% 18.60% 28.75% 22.77% 27.88% 25.76% 23.17% 34.49% 43.87% +24.01% +23.17% 17.41% 26.52% 30.30% 15.76% 13.28% 17.63% 8.85% 22.02% 29.58% 22.16% 27.86% 24.66% 28.21% 31.53% 42.31% +23.87% +24.66% 16.42% 30.66% 31.69% 16.49% 16.30% 17.87% 7.61% 17.61% 26.26% 22.98% 33.36% 26.31% 30.89% 32.71% 41.78% +24.60% +26.26% 17.42% 31.46% 22.64% 13.67% 16.26% 15.88% 9.60% 15.38% 27.55% 18.19% 36.08% 24.53% 26.79% 33.18% 40.65% +23.29% +22.64% 17.46% 26.91% 34.40% 11.98% 20.02% 14.13% 9.33% 20.57% 26.40% 17.34% 32.45% 22.93% 31.15% 34.23% 33.06% +23.49% +22.93% 17.80% 34.98% 37.09% 13.94% 13.61% 12.41% 6.68% 14.84% 23.44% 21.43% 26.69% 28.04% 35.43% 32.89% 31.65% +23.40% +23.44% 20.43% 33.21% 37.17% 13.70% 11.92% 12.00% 7.30% 15.56% 23.57% 19.38% 27.97% 26.77% 34.79% 33.48% 31.74% +23.27% +23.57% 19.80% 34.19% 28.05% 14.61% 9.99% 7.93% 5.66% 19.61% 25.29% 16.62% 27.94% 25.37% 36.44% 32.34% 29.84% +22.25% +25.29% 18.09% 36.27% 25.39% 14.30% 11.85% 10.48% 5.84% 19.58% 25.42% 13.73% 26.46% 38.41% 31.20% 32.99% 27.12% +22.47% +25.39% 20.56% 37.77% 29.71% 14.57% 12.56% 13.95% 6.64% 20.32% 33.77% 11.71% 30.81% 32.64% 32.01% 33.34% 31.42% +24.12% +29.71% 23.25% 23.36% 29.27% 23.38% 21.75% 14.48% 13.37% 33.18% 29.32% 31.07% 32.31% 30.71% 36.53% 38.60% 36.53% +27.81% +29.32% 23.71% 34.23% 31.03% 13.06% 11.47% 12.56% 7.11% 17.23% 29.59% 13.30% 28.58% 27.83% 35.77% 31.35% 31.89% +23.25% +27.83% 31.00% 33.72% 35.55% 13.44% 20.00% 17.72% 8.69% 17.21% 25.25% 14.01% 29.49% 22.37% 36.75% 35.42% 29.00% +24.64% +25.25% 30.38% 33.77% 35.41% 10.73% 17.43% 10.17% 7.50% 23.49% 22.27% 15.00% 31.84% 21.20% 37.69% 30.42% 33.08% +24.03% +23.49% 27.31% 38.64% 14.78% 18.12% 14.28% 7.75% 19.62% 27.48% 23.51% 35.49% 36.04% +23.91% +23.51% 22.05% 26.46% 36.44% 31.86% 24.12% 23.03% 14.18% 13.59% 31.52% 25.36% 34.12% 29.37% 35.04% 34.56% 35.38% +27.81% +29.37% 18.90% 41.84% 27.51% 19.07% 24.55% 12.53% 11.42% 31.09% 35.52% 30.36% 33.89% 41.97% 35.51% +28.01% +30.36% 22.40% 26.04% 40.01% 20.32% 20.39% 11.42% 32.59% 25.53% 37.97% 33.30% 32.72% 30.88% 37.51% 34.39% +28.96% +31.74% 23.99% 41.24% 28.19% 20.76% 14.49% 9.40% 37.69% 25.16% 35.24% 32.06% 28.33% 30.15% 37.53% 36.18% +28.60% +29.24% 25.33% 26.91% 43.54% 25.65% 22.23% 22.92% 18.12% 7.29% 36.20% 20.78% 37.41% 33.87% 26.95% 29.36% 37.69% 37.18% +28.21% +26.93% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 7 entries, 0 to 6
Columns: 1171 entries, Industry to W9_TRUNG VỊ
dtypes: object(1171)
memory usage: 64.2+ KB
None
Số giá trị bị rỗng:
Industry          0
Type of Value     0
M10_2010          0
M10_2011          0
M10_2012          0
M10_2013          0
M10_2014          0
M10_2015          0
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M10_2018          0
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W12_2016          0
W12_2017          0
W12_2018          0
W12_2019          0
W12_2020          0
W12_2021          0
W12_2022          0
W12_2023          0
W12_2024          0
W12_TRUNG BÌNH    0
W12_TRUNG VỊ      0
W13_2010          0
W13_2011          0
W13_2012          0
W13_2013          0
W13_2014          0
W13_2015          0
W13_2016          0
W13_2017          0
W13_2018          0
W13_2019          0
W13_2020          0
W13_2021          0
W13_2022          0
W13_2023          0
W13_2024          0
W13_TRUNG BÌNH    0
W13_TRUNG VỊ      0
W14_2010          0
W14_2011          0
W14_2012          0
W14_2013          0
W14_2014          0
W14_2015          0
W14_2016          0
W14_2017          0
W14_2018          0
W14_2019          0
W14_2020          0
W14_2021          0
W14_2022          0
W14_2023          0
W14_2024          0
W14_TRUNG BÌNH    0
W14_TRUNG VỊ      0
W15_2010          0
W15_2011          0
W15_2012          0
W15_2013          0
W15_2014          0
W15_2015          0
W15_2016          0
W15_2017          0
W15_2018          0
W15_2019          0
W15_2020          0
W15_2021          0
W15_2022          0
W15_2023          0
W15_2024          0
W15_TRUNG BÌNH    0
W15_TRUNG VỊ      0
W16_2010          0
W16_2011          0
W16_2012          0
W16_2013          0
W16_2014          0
W16_2015          0
W16_2016          0
W16_2017          0
W16_2018          0
W16_2019          0
W16_2020          0
W16_2021          0
W16_2022          0
W16_2023          0
W16_2024          0
W16_TRUNG BÌNH    0
W16_TRUNG VỊ      0
W17_2010          0
W17_2011          0
W17_2012          0
W17_2013          0
W17_2014          0
W17_2015          0
W17_2016          0
W17_2017          0
W17_2018          0
W17_2019          0
W17_2020          0
W17_2021          0
W17_2022          0
W17_2023          0
W17_2024          0
W17_TRUNG BÌNH    0
W17_TRUNG VỊ      0
W18_2010          0
W18_2011          0
W18_2012          0
W18_2013          0
W18_2014          0
W18_2015          0
W18_2016          0
W18_2017          0
W18_2018          0
W18_2019          0
W18_2020          0
W18_2021          0
W18_2022          0
W18_2023          0
W18_2024          0
W18_TRUNG BÌNH    0
W18_TRUNG VỊ      0
W19_2010          0
W19_2011          0
W19_2012          0
W19_2013          0
W19_2014          0
W19_2015          0
W19_2016          0
W19_2017          0
W19_2018          0
W19_2019          0
W19_2020          0
W19_2021          0
W19_2022          0
W19_2023          0
W19_2024          0
W19_TRUNG BÌNH    0
W19_TRUNG VỊ      0
W1_2012           0
W1_2013           0
W1_2014           0
W1_2017           0
W1_2018           0
W1_2019           0
W1_2020           0
W1_2023           0
W1_2024           0
W1_2025           0
W1_TRUNG BÌNH     0
W1_TRUNG VỊ       0
W20_2010          0
W20_2011          0
W20_2012          0
W20_2013          0
W20_2014          0
W20_2015          0
W20_2016          0
W20_2017          0
W20_2018          0
W20_2019          0
W20_2020          0
W20_2021          0
W20_2022          0
W20_2023          0
W20_2024          0
W20_TRUNG BÌNH    0
W20_TRUNG VỊ      0
W21_2010          0
W21_2011          0
W21_2012          0
W21_2013          0
W21_2014          0
W21_2015          0
W21_2016          0
W21_2017          0
W21_2018          0
W21_2019          0
W21_2020          0
W21_2021          0
W21_2022          0
W21_2023          0
W21_2024          0
W21_TRUNG BÌNH    0
W21_TRUNG VỊ      0
W22_2010          0
W22_2011          0
W22_2012          0
W22_2013          0
W22_2014          0
W22_2015          0
W22_2016          0
W22_2017          0
W22_2018          0
W22_2019          0
W22_2020          0
W22_2021          0
W22_2022          0
W22_2023          0
W22_2024          0
W22_TRUNG BÌNH    0
W22_TRUNG VỊ      0
W23_2010          0
W23_2011          0
W23_2012          0
W23_2013          0
W23_2014          0
W23_2015          0
W23_2016          0
W23_2017          0
W23_2018          0
W23_2019          0
W23_2020          0
W23_2021          0
W23_2022          0
W23_2023          0
W23_2024          0
W23_TRUNG BÌNH    0
W23_TRUNG VỊ      0
W24_2010          0
W24_2011          0
W24_2012          0
W24_2013          0
W24_2014          0
W24_2015          0
W24_2016          0
W24_2017          0
W24_2018          0
W24_2019          0
W24_2020          0
W24_2021          0
W24_2022          0
W24_2023          0
W24_2024          0
W24_TRUNG BÌNH    0
W24_TRUNG VỊ      0
W25_2010          0
W25_2011          0
W25_2012          0
W25_2013          0
W25_2014          0
W25_2015          0
W25_2016          0
W25_2017          0
W25_2018          0
W25_2019          0
W25_2020          0
W25_2021          0
W25_2022          0
W25_2023          0
W25_2024          0
W25_TRUNG BÌNH    0
W25_TRUNG VỊ      0
W26_2010          0
W26_2011          0
W26_2012          0
W26_2013          0
W26_2014          0
W26_2015          0
W26_2016          0
W26_2017          0
W26_2018          0
W26_2019          0
W26_2020          0
W26_2021          0
W26_2022          0
W26_2023          0
W26_2024          0
W26_TRUNG BÌNH    0
W26_TRUNG VỊ      0
W27_2010          0
W27_2011          0
W27_2012          0
W27_2013          0
W27_2014          0
W27_2015          0
W27_2016          0
W27_2017          0
W27_2018          0
W27_2019          0
W27_2020          0
W27_2021          0
W27_2022          0
W27_2023          0
W27_2024          0
W27_TRUNG BÌNH    0
W27_TRUNG VỊ      0
W28_2010          0
W28_2011          0
W28_2012          0
W28_2013          0
W28_2014          0
W28_2015          0
W28_2016          0
W28_2017          0
W28_2018          0
W28_2019          0
W28_2020          0
W28_2021          0
W28_2022          0
W28_2023          0
W28_2024          0
W28_TRUNG BÌNH    0
W28_TRUNG VỊ      0
W29_2010          0
W29_2011          0
W29_2012          0
W29_2013          0
W29_2014          0
W29_2015          0
W29_2016          0
W29_2017          0
W29_2018          0
W29_2019          0
W29_2020          0
W29_2021          0
W29_2022          0
W29_2023          0
W29_2024          0
W29_TRUNG BÌNH    0
W29_TRUNG VỊ      0
W2_2010           0
W2_2011           0
W2_2012           0
W2_2013           0
W2_2014           0
W2_2015           0
W2_2016           0
W2_2017           0
W2_2018           0
W2_2019           0
W2_2020           0
W2_2021           0
W2_2022           0
W2_2023           0
W2_2024           0
W2_2025           0
W2_TRUNG BÌNH     0
W2_TRUNG VỊ       0
W30_2010          0
W30_2011          0
W30_2012          0
W30_2013          0
W30_2014          0
W30_2015          0
W30_2016          0
W30_2017          0
W30_2018          0
W30_2019          0
W30_2020          0
W30_2021          0
W30_2022          0
W30_2023          0
W30_2024          0
W30_TRUNG BÌNH    0
W30_TRUNG VỊ      0
W31_2010          0
W31_2011          0
W31_2012          0
W31_2013          0
W31_2014          0
W31_2015          0
W31_2016          0
W31_2017          0
W31_2018          0
W31_2019          0
W31_2020          0
W31_2021          0
W31_2022          0
W31_2023          0
W31_2024          0
W31_TRUNG BÌNH    0
W31_TRUNG VỊ      0
W32_2010          0
W32_2011          0
W32_2012          0
W32_2013          0
W32_2014          0
W32_2015          0
W32_2016          0
W32_2017          0
W32_2018          0
W32_2019          0
W32_2020          0
W32_2021          0
W32_2022          0
W32_2023          0
W32_2024          0
W32_TRUNG BÌNH    0
W32_TRUNG VỊ      0
W33_2010          0
W33_2011          0
W33_2012          0
W33_2013          0
W33_2014          0
W33_2015          0
W33_2016          0
W33_2017          0
W33_2018          0
W33_2019          0
W33_2020          0
W33_2021          0
W33_2022          0
W33_2023          0
W33_2024          0
W33_TRUNG BÌNH    0
W33_TRUNG VỊ      0
W34_2010          0
W34_2011          0
W34_2012          0
W34_2013          0
W34_2014          0
W34_2015          0
W34_2016          0
W34_2017          0
W34_2018          0
W34_2019          0
W34_2020          0
W34_2021          0
W34_2022          0
W34_2023          0
W34_2024          0
W34_TRUNG BÌNH    0
W34_TRUNG VỊ      0
W35_2010          0
W35_2011          0
W35_2012          0
W35_2013          0
W35_2014          0
W35_2015          0
W35_2016          0
W35_2017          0
W35_2018          0
W35_2019          0
W35_2020          0
W35_2021          0
W35_2022          0
W35_2023          0
W35_2024          0
W35_TRUNG BÌNH    0
W35_TRUNG VỊ      0
W36_2010          0
W36_2011          0
W36_2012          0
W36_2013          0
W36_2014          0
W36_2015          0
W36_2016          0
W36_2017          0
W36_2018          0
W36_2019          0
W36_2020          0
W36_2021          0
W36_2022          0
W36_2023          0
W36_2024          0
W36_TRUNG BÌNH    0
W36_TRUNG VỊ      0
W37_2010          0
W37_2011          0
W37_2012          0
W37_2013          0
W37_2014          0
W37_2015          0
W37_2016          0
W37_2017          0
W37_2018          0
W37_2019          0
W37_2020          0
W37_2021          0
W37_2022          0
W37_2023          0
W37_2024          0
W37_TRUNG BÌNH    0
W37_TRUNG VỊ      0
W38_2010          0
W38_2011          0
W38_2012          0
W38_2013          0
W38_2014          0
W38_2015          0
W38_2016          0
W38_2017          0
W38_2018          0
W38_2019          0
W38_2020          0
W38_2021          0
W38_2022          0
W38_2023          0
W38_2024          0
W38_TRUNG BÌNH    0
W38_TRUNG VỊ      0
W39_2010          0
W39_2011          0
W39_2012          0
W39_2013          0
W39_2014          0
W39_2015          0
W39_2016          0
W39_2017          0
W39_2018          0
W39_2019          0
W39_2020          0
W39_2021          0
W39_2022          0
W39_2023          0
W39_2024          0
W39_TRUNG BÌNH    0
W39_TRUNG VỊ      0
W3_2010           0
W3_2011           0
W3_2012           0
W3_2013           0
W3_2014           0
W3_2015           0
W3_2016           0
W3_2017           0
W3_2018           0
W3_2019           0
W3_2020           0
W3_2021           0
W3_2022           0
W3_2023           0
W3_2024           0
W3_2025           0
W3_TRUNG BÌNH     0
W3_TRUNG VỊ       0
W40_2010          0
W40_2011          0
W40_2012          0
W40_2013          0
W40_2014          0
W40_2015          0
W40_2016          0
W40_2017          0
W40_2018          0
W40_2019          0
W40_2020          0
W40_2021          0
W40_2022          0
W40_2023          0
W40_2024          0
W40_TRUNG BÌNH    0
W40_TRUNG VỊ      0
W41_2010          0
W41_2011          0
W41_2012          0
W41_2013          0
W41_2014          0
W41_2015          0
W41_2016          0
W41_2017          0
W41_2018          0
W41_2019          0
W41_2020          0
W41_2021          0
W41_2022          0
W41_2023          0
W41_2024          0
W41_TRUNG BÌNH    0
W41_TRUNG VỊ      0
W42_2010          0
W42_2011          0
W42_2012          0
W42_2013          0
W42_2014          0
W42_2015          0
W42_2016          0
W42_2017          0
W42_2018          0
W42_2019          0
W42_2020          0
W42_2021          0
W42_2022          0
W42_2023          0
W42_2024          0
W42_TRUNG BÌNH    0
W42_TRUNG VỊ      0
W43_2010          0
W43_2011          0
W43_2012          0
W43_2013          0
W43_2014          0
W43_2015          0
W43_2016          0
W43_2017          0
W43_2018          0
W43_2019          0
W43_2020          0
W43_2021          0
W43_2022          0
W43_2023          0
W43_2024          0
W43_TRUNG BÌNH    0
W43_TRUNG VỊ      0
W44_2010          0
W44_2011          0
W44_2012          0
W44_2013          0
W44_2014          0
W44_2015          0
W44_2016          0
W44_2017          0
W44_2018          0
W44_2019          0
W44_2020          0
W44_2021          0
W44_2022          0
W44_2023          0
W44_2024          0
W44_TRUNG BÌNH    0
W44_TRUNG VỊ      0
W45_2010          0
W45_2011          0
W45_2012          0
W45_2013          0
W45_2014          0
W45_2015          0
W45_2016          0
W45_2017          0
W45_2018          0
W45_2019          0
W45_2020          0
W45_2021          0
W45_2022          0
W45_2023          0
W45_2024          0
W45_TRUNG BÌNH    0
W45_TRUNG VỊ      0
W46_2010          0
W46_2011          0
W46_2012          0
W46_2013          0
W46_2014          0
W46_2015          0
W46_2016          0
W46_2017          0
W46_2018          0
W46_2019          0
W46_2020          0
W46_2021          0
W46_2022          0
W46_2023          0
W46_2024          0
W46_TRUNG BÌNH    0
W46_TRUNG VỊ      0
W47_2010          0
W47_2011          0
W47_2012          0
W47_2013          0
W47_2014          0
W47_2015          0
W47_2016          0
W47_2017          0
W47_2018          0
W47_2019          0
W47_2020          0
W47_2021          0
W47_2022          0
W47_2023          0
W47_2024          0
W47_TRUNG BÌNH    0
W47_TRUNG VỊ      0
W48_2010          0
W48_2011          0
W48_2012          0
W48_2013          0
W48_2014          0
W48_2015          0
W48_2016          0
W48_2017          0
W48_2018          0
W48_2019          0
W48_2020          0
W48_2021          0
W48_2022          0
W48_2023          0
W48_2024          0
W48_TRUNG BÌNH    0
W48_TRUNG VỊ      0
W49_2010          0
W49_2011          0
W49_2012          0
W49_2013          0
W49_2014          0
W49_2015          0
W49_2016          0
W49_2017          0
W49_2018          0
W49_2019          0
W49_2020          0
W49_2021          0
W49_2022          0
W49_2023          0
W49_2024          0
W49_TRUNG BÌNH    0
W49_TRUNG VỊ      0
W4_2010           0
W4_2011           0
W4_2013           0
W4_2014           0
W4_2015           0
W4_2016           0
W4_2017           0
W4_2018           0
W4_2019           0
W4_2020           0
W4_2021           0
W4_2022           0
W4_2023           0
W4_2024           0
W4_2025           0
W4_TRUNG BÌNH     0
W4_TRUNG VỊ       0
W50_2010          0
W50_2011          0
W50_2012          0
W50_2013          0
W50_2014          0
W50_2015          0
W50_2016          0
W50_2017          0
W50_2018          0
W50_2019          0
W50_2020          0
W50_2021          0
W50_2022          0
W50_2023          0
W50_2024          0
W50_TRUNG BÌNH    0
W50_TRUNG VỊ      0
W51_2010          0
W51_2011          0
W51_2012          0
W51_2013          0
W51_2014          0
W51_2015          0
W51_2016          0
W51_2017          0
W51_2018          0
W51_2019          0
W51_2020          0
W51_2021          0
W51_2022          0
W51_2023          0
W51_2024          0
W51_TRUNG BÌNH    0
W51_TRUNG VỊ      0
W52_2010          0
W52_2011          0
W52_2012          0
W52_2013          0
W52_2014          0
W52_2015          0
W52_2016          0
W52_2017          0
W52_2018          0
W52_2019          0
W52_2020          0
W52_2021          0
W52_2022          0
W52_2023          0
W52_2024          0
W52_TRUNG BÌNH    0
W52_TRUNG VỊ      0
W53_2010          0
W53_2011          0
W53_2013          0
W53_2014          0
W53_2015          0
W53_2016          0
W53_2019          0
W53_2020          0
W53_2021          0
W53_2022          0
W53_2024          0
W53_TRUNG BÌNH    0
W53_TRUNG VỊ      0
W5_2010           0
W5_2011           0
W5_2012           0
W5_2013           0
W5_2014           0
W5_2015           0
W5_2016           0
W5_2017           0
W5_2018           0
W5_2019           0
W5_2020           0
W5_2021           0
W5_2022           0
W5_2023           0
W5_2024           0
W5_TRUNG BÌNH     0
W5_TRUNG VỊ       0
W6_2010           0
W6_2012           0
W6_2013           0
W6_2014           0
W6_2015           0
W6_2016           0
W6_2017           0
W6_2018           0
W6_2020           0
W6_2021           0
W6_2023           0
W6_2024           0
W6_2025           0
W6_TRUNG BÌNH     0
W6_TRUNG VỊ       0
W7_2010           0
W7_2011           0
W7_2012           0
W7_2014           0
W7_2015           0
W7_2017           0
W7_2018           0
W7_2019           0
W7_2020           0
W7_2021           0
W7_2022           0
W7_2023           0
W7_2024           0
W7_2025           0
W7_TRUNG BÌNH     0
W7_TRUNG VỊ       0
W8_2011           0
W8_2012           0
W8_2013           0
W8_2014           0
W8_2016           0
W8_2017           0
W8_2018           0
W8_2019           0
W8_2020           0
W8_2021           0
W8_2022           0
W8_2023           0
W8_2024           0
W8_2025           0
W8_TRUNG BÌNH     0
W8_TRUNG VỊ       0
W9_2010           0
W9_2011           0
W9_2012           0
W9_2013           0
W9_2014           0
W9_2015           0
W9_2016           0
W9_2017           0
W9_2018           0
W9_2019           0
W9_2020           0
W9_2021           0
W9_2022           0
W9_2023           0
W9_2024           0
W9_2025           0
W9_TRUNG BÌNH     0
W9_TRUNG VỊ       0
dtype: int64
Thống kê các giá trị:
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
count 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
unique 7 1 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
top Chăm sóc sức khỏe Dòng tiền ngành 0.76% 0.61% 0.48% 2.00% 2.88% 1.23% 1.41% 2.65% 0.73% 0.48% 0.35% 0.93% 0.25% 0.32% 0.38% +1.03% +0.73% 0.55% 0.93% 0.23% 1.56% 3.40% 2.40% 1.38% 1.67% 0.72% 0.75% 0.32% 0.89% 0.26% 0.22% 0.42% +1.05% +0.75% 0.53% 0.49% 0.27% 1.79% 2.05% 0.84% 1.05% 1.90% 0.68% 1.43% 0.89% 0.98% 0.20% 0.25% 0.75% +0.94% +0.84% 0.90% 0.55% 0.65% 0.19% 1.65% 1.53% 1.35% 1.08% 1.26% 0.63% 1.10% 1.10% 0.72% 0.22% 0.22% 0.65% +0.86% +0.81% 1.02% 0.51% 0.36% 0.14% 0.96% 3.49% 1.39% 1.37% 0.86% 1.47% 1.30% 0.56% 0.52% 0.38% 0.24% 0.55% +0.94% +0.71% 0.71% 0.69% 0.31% 0.54% 1.19% 2.38% 1.32% 1.58% 1.04% 1.02% 0.94% 0.47% 0.58% 0.36% 0.21% 0.34% +0.89% +0.71% 0.75% 0.62% 0.22% 0.33% 1.17% 3.78% 1.46% 0.91% 0.74% 0.51% 1.04% 0.48% 0.62% 0.40% 0.21% +0.88% +0.62% 0.63% 0.66% 0.16% 0.29% 1.52% 3.27% 0.91% 1.34% 0.57% 0.36% 0.63% 0.51% 0.40% 0.66% 0.31% +0.81% +0.63% 1.05% 0.57% 0.12% 0.39% 2.45% 3.03% 1.47% 2.13% 0.69% 0.34% 0.81% 0.85% 0.30% 0.58% 0.40% +1.01% +0.69% 1.41% 0.74% 0.21% 1.01% 1.66% 1.93% 2.30% 2.15% 0.89% 0.33% 0.76% 0.71% 0.39% 0.54% 0.64% +1.04% +0.76% 1.64% 0.79% 0.39% 2.75% 1.51% 2.25% 1.73% 2.69% 0.93% 0.46% 1.02% 1.44% 0.41% 0.40% 0.36% +13.10% +1.02% 0.94% 0.56% 0.38% 2.38% 1.80% 1.66% 1.78% 2.66% 0.98% 0.65% 0.75% 1.36% 0.27% 0.25% 0.45% +1.13% +0.94% 0.83% 0.59% 0.35% 0.27% 1.20% 2.28% 1.35% 1.42% 1.09% 1.06% 1.10% 0.72% 0.61% 0.32% 0.22% 0.53% +0.89% +0.83% 0.79% 0.61% 0.17% 0.34% 1.63% 3.29% 1.31% 1.49% 0.67% 0.40% 0.81% 0.64% 0.46% 0.55% 0.31% +0.90% +0.64% 1.33% 0.66% 0.32% 1.99% 1.67% 1.97% 1.94% 2.50% 0.94% 0.47% 0.84% 1.19% 0.36% 0.39% 0.49% +1.14% +0.94% 0.59% 0.67% 0.33% 1.77% 2.80% 1.52% 1.28% 2.02% 0.71% 0.86% 0.59% 0.93% 0.23% 0.26% 0.51% +1.01% +0.71% 0.91% 0.65% 0.36% 0.10% 1.27% 0.99% 1.17% 2.00% 0.73% 1.31% 0.98% 0.33% 0.69% 0.31% 0.22% 0.34% +0.77% +0.71% 0.48% 0.91% 0.22% 0.19% 1.68% 1.87% 1.44% 1.06% 0.64% 1.18% 0.91% 0.41% 0.58% 0.33% 0.19% 0.33% +0.81% +0.64% 0.95% 0.53% 0.26% 1.24% 0.91% 3.14% 1.28% 1.21% 1.46% 0.71% 1.00% 0.56% 0.56% 0.41% 0.23% +0.96% +0.91% 0.61% 0.74% 0.35% 0.85% 1.10% 3.95% 1.18% 1.83% 1.70% 0.61% 0.94% 0.56% 0.56% 0.30% 0.20% +1.03% +0.74% 0.57% 0.79% 0.38% 0.39% 1.15% 4.35% 1.53% 1.18% 0.86% 0.54% 0.70% 0.49% 0.71% 0.31% 0.16% +0.94% +0.70% 0.65% 0.69% 0.21% 0.30% 1.17% 4.00% 1.79% 0.99% 0.81% 0.60% 0.94% 0.47% 0.68% 0.35% 0.26% +0.93% +0.68% 1.14% 0.71% 0.17% 0.32% 1.22% 3.42% 1.86% 0.58% 0.70% 0.42% 1.23% 0.63% 0.62% 0.48% 0.21% +0.91% +0.63% 0.72% 0.48% 0.20% 0.28% 1.14% 3.96% 1.30% 0.90% 0.54% 0.46% 1.05% 0.32% 0.54% 0.54% 0.25% +0.84% +0.54% 0.53% 0.50% 0.11% 0.31% 0.87% 2.97% 0.92% 1.11% 0.58% 0.27% 1.09% 0.42% 0.44% 1.10% 0.20% +0.76% +0.53% 0.50% 0.83% 0.12% 8.64% 1.12% 2.96% 0.90% 0.89% 0.58% 0.46% 0.64% 0.41% 0.37% 0.75% 0.28% +0.73% +0.58% 0.52% 0.08% 3.43% 0.95% 1.50% 0.64% 1.67% 0.20% 0.27% 0.46% +0.97% +0.58% 0.59% 0.62% 0.11% 0.30% 1.27% 4.54% 0.95% 0.96% 0.44% 0.32% 0.64% 0.27% 0.41% 0.58% 0.35% +0.82% +0.58% 0.75% 0.53% 0.33% 0.27% 1.68% 4.26% 0.94% 1.82% 0.41% 0.34% 0.66% 0.44% 0.34% 0.52% 0.35% +0.91% +0.52% 0.87% 0.71% 0.17% 0.35% 2.02% 1.88% 0.99% 2.02% 0.77% 0.37% 0.58% 0.81% 0.49% 0.61% 0.26% +0.86% +0.71% 0.96% 0.38% 0.13% 0.40% 2.71% 2.62% 0.90% 1.71% 0.90% 0.30% 0.71% 0.78% 0.33% 0.54% 0.28% +0.91% +0.71% 1.07% 0.45% 0.08% 0.37% 2.59% 3.41% 1.21% 1.76% 0.42% 0.51% 0.74% 0.68% 0.32% 0.73% 0.36% +0.98% +0.68% 0.72% 0.28% 0.13% 0.41% 2.59% 3.30% 1.41% 3.26% 0.73% 0.28% 1.03% 1.01% 0.33% 0.58% 0.54% +1.11% +0.72% 1.26% 1.05% 0.15% 0.40% 2.02% 2.70% 1.60% 1.82% 0.74% 0.29% 0.83% 1.05% 0.28% 0.47% 0.45% +1.01% +0.83% 1.09% 1.21% 0.16% 0.43% 1.34% 2.45% 1.99% 1.49% 1.23% 0.35% 0.78% 0.79% 0.28% 0.39% 0.53% +0.97% +0.79% 1.23% 0.66% 0.25% 0.55% 1.63% 1.88% 2.37% 16.23% 0.88% 0.34% 0.65% 0.80% 0.24% 0.44% 0.46% +0.98% +0.66% 1.62% 0.77% 0.12% 0.41% 1.79% 2.10% 2.51% 2.35% 0.84% 0.25% 0.83% 0.52% 0.33% 0.64% 1.01% +1.07% +0.83% 0.92% 0.82% 0.81% 0.21% 2.19% 1.95% 1.04% 1.14% 1.34% 0.65% 1.20% 1.38% 0.88% 0.18% 0.21% 0.68% +0.97% +0.90% 1.23% 0.95% 0.26% 1.41% 1.87% 1.68% 2.08% 2.24% 0.67% 0.37% 0.77% 0.79% 0.56% 0.65% 0.57% +1.07% +0.79% 1.77% 0.59% 0.63% 3.70% 1.82% 1.92% 2.21% 2.29% 0.72% 0.45% 0.78% 0.63% 0.42% 0.47% 0.44% +1.26% +0.72% 1.49% 0.78% 0.39% 13.40% 1.60% 2.51% 1.77% 2.69% 1.18% 0.38% 0.92% 0.90% 0.48% 0.47% 0.32% +1.31% +0.92% 1.35% 0.94% 0.50% 3.25% 1.50% 1.94% 1.33% 2.39% 0.70% 0.32% 0.87% 0.96% 0.49% 0.38% 0.37% +1.15% +0.94% 2.32% 0.94% 0.30% 2.23% 1.17% 1.92% 2.17% 3.06% 1.01% 0.28% 1.36% 1.88% 0.33% 0.37% 0.39% +1.32% +1.17% 1.95% 0.76% 0.28% 2.02% 1.67% 2.60% 1.86% 3.05% 1.00% 0.82% 0.99% 1.75% 0.37% 0.31% 0.35% +1.32% +1.00% 1.01% 0.49% 0.37% 2.14% 1.42% 1.93% 1.28% 2.45% 1.11% 0.43% 0.84% 1.78% 0.39% 0.34% 0.44% +1.09% +1.01% 0.69% 0.70% 0.39% 2.06% 1.17% 1.65% 2.08% 2.10% 0.91% 0.97% 0.93% 1.76% 0.28% 0.23% 0.54% +1.10% +0.93% 0.76% 0.33% 0.32% 1.83% 1.71% 1.42% 1.91% 2.72% 0.90% 0.38% 0.78% 1.51% 0.27% 0.19% 0.51% +1.04% +0.78% 1.23% 0.66% 0.49% 3.26% 2.39% 1.78% 1.56% 3.43% 1.05% 0.78% 0.66% 1.03% 0.27% 0.25% 0.35% +1.28% +1.03% 0.86% 0.43% 0.67% 0.19% 1.39% 1.18% 0.99% 1.12% 0.96% 0.82% 0.84% 1.24% 0.84% 0.25% 0.18% 0.73% +0.79% +0.84% 1.25% 0.75% 0.53% 1.84% 2.73% 1.58% 1.66% 2.10% 0.95% 0.69% 0.48% 0.86% 0.27% 0.22% 0.28% +1.08% +0.86% 0.99% 0.67% 0.47% 1.89% 2.84% 1.33% 1.46% 1.18% 0.72% 0.61% 0.45% 0.96% 0.27% 0.48% 0.38% +0.98% +0.72% 0.62% 0.54% 10.18% 1.85% 2.47% 1.30% 1.42% 3.22% 0.62% 0.44% 0.29% 0.72% 0.21% 0.31% 0.42% +0.98% +0.62% 0.43% 0.72% 0.90% 1.88% 3.86% 0.80% 1.61% 3.75% 0.62% 0.29% 0.34% 1.16% 0.19% 0.26% 0.47% +1.15% +0.72% 0.56% 0.60% 0.31% 3.00% 2.91% 1.42% 1.23% 3.12% 0.57% 0.35% 0.31% 0.92% 0.32% 0.28% 0.37% +1.08% +0.57% 0.41% 1.05% 0.18% 2.53% 3.58% 1.17% 1.12% 1.07% 1.05% 0.51% 0.35% 0.78% 0.20% 0.20% 0.37% +0.97% +0.78% 0.45% 1.06% 0.21% 1.40% 3.32% 2.58% 0.90% 1.81% 0.58% 1.07% 0.37% 0.94% 0.25% 0.23% 0.33% +1.03% +0.90% 0.52% 1.07% 0.24% 1.12% 3.54% 3.82% 0.93% 1.86% 0.66% 0.74% 0.27% 0.97% 0.30% 0.22% 0.35% +1.11% +0.74% 0.53% 0.37% 0.30% 1.34% 3.15% 1.97% 2.16% 1.41% 0.66% 0.80% 0.31% 0.83% 0.25% 0.22% 0.71% +1.00% +0.71% 0.80% 0.60% 0.26% 1.17% 2.23% 1.42% 1.70% 1.60% 0.58% 0.72% 0.42% 1.03% 0.23% 0.17% 0.69% +0.91% +0.72% 0.84% 0.48% 0.22% 1.20% 1.42% 1.99% 1.07% 1.61% 0.64% 0.69% 1.34% 0.63% 0.19% 0.21% 0.64% +0.88% +0.69% 0.46% 0.44% 0.29% 1.24% 1.64% 1.00% 1.35% 1.92% 0.61% 1.16% 0.66% 0.70% 0.21% 0.24% 0.80% +0.85% +0.70% 0.39% 0.59% 0.28% 1.93% 1.22% 0.58% 0.96% 1.84% 0.68% 1.60% 0.65% 1.05% 0.13% 0.39% 0.74% +0.87% +0.68% 0.58% 0.30% 0.25% 2.62% 3.29% 0.67% 0.71% 2.07% 0.91% 1.94% 1.00% 1.00% 0.21% 0.30% 0.85% +1.11% +0.85% 0.68% 0.55% 2.50% 2.95% 0.95% 0.86% 2.70% 1.66% 1.10% 0.31% 0.52% +1.34% +0.95% 1.00% 0.55% 0.40% 0.20% 1.28% 1.60% 1.35% 0.87% 1.02% 0.33% 1.35% 0.43% 0.43% 0.23% 0.20% +0.75% +0.55% 0.76% 0.24% 0.18% 1.07% 3.39% 1.16% 0.82% 0.97% 1.28% 0.75% 0.42% 0.14% 0.49% +0.90% +0.76% 0.86% 0.64% 0.69% 1.09% 4.25% 1.19% 0.75% 0.50% 1.29% 0.53% 0.38% 0.29% 0.13% 0.62% +0.94% +0.67% 0.47% 0.34% 0.12% 1.09% 1.59% 1.50% 0.65% 1.58% 1.44% 0.49% 0.49% 0.39% 0.28% 0.66% +0.79% +0.57% 1.46% 0.40% 0.32% 0.15% 0.68% 2.79% 1.36% 2.44% 0.65% 2.36% 1.21% 0.45% 0.55% 0.69% 0.30% 0.43% +1.01% +0.67%
freq 1 7 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
Industry          7
Type of Value     1
M10_2010          7
M10_2011          7
M10_2012          7
M10_2013          7
M10_2014          7
M10_2015          7
M10_2016          7
M10_2017          7
M10_2018          7
M10_2019          7
M10_2020          7
M10_2021          7
M10_2022          7
M10_2023          7
M10_2024          7
M10_TRUNG BÌNH    7
M10_TRUNG VỊ      7
M11_2010          7
M11_2011          7
M11_2012          7
M11_2013          7
M11_2014          7
M11_2015          7
M11_2016          7
M11_2017          7
M11_2018          7
M11_2019          7
M11_2020          7
M11_2021          7
M11_2022          7
M11_2023          7
M11_2024          7
M11_TRUNG BÌNH    7
M11_TRUNG VỊ      7
M12_2010          7
M12_2011          7
M12_2012          7
M12_2013          7
M12_2014          7
M12_2015          7
M12_2016          7
M12_2017          7
M12_2018          7
M12_2019          7
M12_2020          7
M12_2021          7
M12_2022          7
M12_2023          7
M12_2024          7
M12_TRUNG BÌNH    7
M12_TRUNG VỊ      7
M1_2010           7
M1_2011           7
M1_2012           7
M1_2013           7
M1_2014           7
M1_2015           7
M1_2016           7
M1_2017           7
M1_2018           7
M1_2019           7
M1_2020           7
M1_2021           7
M1_2022           7
M1_2023           7
M1_2024           7
M1_2025           7
M1_TRUNG BÌNH     7
M1_TRUNG VỊ       7
M2_2010           7
M2_2011           7
M2_2012           7
M2_2013           7
M2_2014           7
M2_2015           7
M2_2016           7
M2_2017           7
M2_2018           7
M2_2019           7
M2_2020           7
M2_2021           7
M2_2022           7
M2_2023           7
M2_2024           7
M2_2025           7
M2_TRUNG BÌNH     7
M2_TRUNG VỊ       7
M3_2010           7
M3_2011           7
M3_2012           7
M3_2013           7
M3_2014           7
M3_2015           7
M3_2016           7
M3_2017           7
M3_2018           7
M3_2019           7
M3_2020           7
M3_2021           7
M3_2022           7
M3_2023           7
M3_2024           7
M3_2025           7
M3_TRUNG BÌNH     7
M3_TRUNG VỊ       7
M4_2010           7
M4_2011           7
M4_2012           7
M4_2013           7
M4_2014           7
M4_2015           7
M4_2016           7
M4_2017           7
M4_2018           7
M4_2019           7
M4_2020           7
M4_2021           7
M4_2022           7
M4_2023           7
M4_2024           7
M4_TRUNG BÌNH     7
M4_TRUNG VỊ       7
M5_2010           7
M5_2011           7
M5_2012           7
M5_2013           7
M5_2014           7
M5_2015           7
M5_2016           7
M5_2017           7
M5_2018           7
M5_2019           7
M5_2020           7
M5_2021           7
M5_2022           7
M5_2023           7
M5_2024           7
M5_TRUNG BÌNH     7
M5_TRUNG VỊ       7
M6_2010           7
M6_2011           7
M6_2012           7
M6_2013           7
M6_2014           7
M6_2015           7
M6_2016           7
M6_2017           7
M6_2018           7
M6_2019           7
M6_2020           7
M6_2021           7
M6_2022           7
M6_2023           7
M6_2024           7
M6_TRUNG BÌNH     7
M6_TRUNG VỊ       7
M7_2010           7
M7_2011           7
M7_2012           7
M7_2013           7
M7_2014           7
M7_2015           7
M7_2016           7
M7_2017           7
M7_2018           7
M7_2019           7
M7_2020           7
M7_2021           7
M7_2022           7
M7_2023           7
M7_2024           7
M7_TRUNG BÌNH     7
M7_TRUNG VỊ       7
M8_2010           7
M8_2011           7
M8_2012           7
M8_2013           7
M8_2014           7
M8_2015           7
M8_2016           7
M8_2017           7
M8_2018           7
M8_2019           7
M8_2020           7
M8_2021           7
M8_2022           7
M8_2023           7
M8_2024           7
M8_TRUNG BÌNH     6
M8_TRUNG VỊ       7
M9_2010           7
M9_2011           7
M9_2012           7
M9_2013           7
M9_2014           7
M9_2015           7
M9_2016           7
M9_2017           7
M9_2018           7
M9_2019           7
M9_2020           7
M9_2021           7
M9_2022           7
M9_2023           7
M9_2024           7
M9_TRUNG BÌNH     7
M9_TRUNG VỊ       7
Q1_2010           7
Q1_2011           7
Q1_2012           7
Q1_2013           7
Q1_2014           7
Q1_2015           7
Q1_2016           7
Q1_2017           7
Q1_2018           7
Q1_2019           7
Q1_2020           7
Q1_2021           7
Q1_2022           7
Q1_2023           7
Q1_2024           7
Q1_2025           7
Q1_TRUNG BÌNH     7
Q1_TRUNG VỊ       7
Q2_2010           7
Q2_2011           7
Q2_2012           7
Q2_2013           7
Q2_2014           7
Q2_2015           7
Q2_2016           7
Q2_2017           7
Q2_2018           7
Q2_2019           7
Q2_2020           7
Q2_2021           7
Q2_2022           7
Q2_2023           7
Q2_2024           7
Q2_TRUNG BÌNH     7
Q2_TRUNG VỊ       7
Q3_2010           7
Q3_2011           7
Q3_2012           7
Q3_2013           7
Q3_2014           7
Q3_2015           7
Q3_2016           7
Q3_2017           7
Q3_2018           7
Q3_2019           7
Q3_2020           7
Q3_2021           7
Q3_2022           7
Q3_2023           7
Q3_2024           7
Q3_TRUNG BÌNH     7
Q3_TRUNG VỊ       7
Q4_2010           7
Q4_2011           7
Q4_2012           7
Q4_2013           7
Q4_2014           7
Q4_2015           7
Q4_2016           7
Q4_2017           7
Q4_2018           7
Q4_2019           7
Q4_2020           7
Q4_2021           7
Q4_2022           7
Q4_2023           7
Q4_2024           7
Q4_TRUNG BÌNH     7
Q4_TRUNG VỊ       7
W10_2010          7
W10_2011          7
W10_2012          7
W10_2013          7
W10_2014          7
W10_2015          7
W10_2016          7
W10_2017          7
W10_2018          7
W10_2019          7
W10_2020          7
W10_2021          7
W10_2022          7
W10_2023          7
W10_2024          7
W10_2025          7
W10_TRUNG BÌNH    7
W10_TRUNG VỊ      7
W11_2010          7
W11_2011          7
W11_2012          7
W11_2013          7
W11_2014          7
W11_2015          7
W11_2016          7
W11_2017          7
W11_2018          7
W11_2019          7
W11_2020          7
W11_2021          7
W11_2022          7
W11_2023          7
W11_2024          7
W11_2025          7
W11_TRUNG BÌNH    7
W11_TRUNG VỊ      7
W12_2010          7
W12_2011          7
W12_2012          7
W12_2013          7
W12_2014          7
W12_2015          7
W12_2016          7
W12_2017          7
W12_2018          7
W12_2019          7
W12_2020          7
W12_2021          7
W12_2022          7
W12_2023          7
W12_2024          7
W12_TRUNG BÌNH    7
W12_TRUNG VỊ      7
W13_2010          7
W13_2011          7
W13_2012          7
W13_2013          7
W13_2014          7
W13_2015          7
W13_2016          7
W13_2017          7
W13_2018          7
W13_2019          7
W13_2020          7
W13_2021          7
W13_2022          7
W13_2023          7
W13_2024          7
W13_TRUNG BÌNH    7
W13_TRUNG VỊ      7
W14_2010          7
W14_2011          7
W14_2012          7
W14_2013          7
W14_2014          7
W14_2015          7
W14_2016          7
W14_2017          7
W14_2018          7
W14_2019          7
W14_2020          7
W14_2021          7
W14_2022          7
W14_2023          7
W14_2024          7
W14_TRUNG BÌNH    7
W14_TRUNG VỊ      7
W15_2010          7
W15_2011          7
W15_2012          7
W15_2013          7
W15_2014          7
W15_2015          7
W15_2016          7
W15_2017          7
W15_2018          7
W15_2019          7
W15_2020          7
W15_2021          7
W15_2022          7
W15_2023          7
W15_2024          7
W15_TRUNG BÌNH    7
W15_TRUNG VỊ      7
W16_2010          7
W16_2011          7
W16_2012          7
W16_2013          7
W16_2014          7
W16_2015          7
W16_2016          7
W16_2017          7
W16_2018          7
W16_2019          7
W16_2020          7
W16_2021          7
W16_2022          7
W16_2023          7
W16_2024          7
W16_TRUNG BÌNH    7
W16_TRUNG VỊ      7
W17_2010          7
W17_2011          7
W17_2012          7
W17_2013          7
W17_2014          7
W17_2015          7
W17_2016          7
W17_2017          7
W17_2018          7
W17_2019          7
W17_2020          7
W17_2021          7
W17_2022          7
W17_2023          7
W17_2024          7
W17_TRUNG BÌNH    7
W17_TRUNG VỊ      7
W18_2010          7
W18_2011          7
W18_2012          7
W18_2013          7
W18_2014          7
W18_2015          7
W18_2016          7
W18_2017          7
W18_2018          7
W18_2019          7
W18_2020          7
W18_2021          7
W18_2022          7
W18_2023          7
W18_2024          7
W18_TRUNG BÌNH    7
W18_TRUNG VỊ      7
W19_2010          7
W19_2011          7
W19_2012          7
W19_2013          6
W19_2014          7
W19_2015          7
W19_2016          7
W19_2017          7
W19_2018          7
W19_2019          7
W19_2020          7
W19_2021          7
W19_2022          7
W19_2023          7
W19_2024          7
W19_TRUNG BÌNH    7
W19_TRUNG VỊ      7
W1_2012           7
W1_2013           7
W1_2014           7
W1_2017           7
W1_2018           7
W1_2019           7
W1_2020           7
W1_2023           7
W1_2024           7
W1_2025           7
W1_TRUNG BÌNH     7
W1_TRUNG VỊ       7
W20_2010          7
W20_2011          7
W20_2012          7
W20_2013          7
W20_2014          7
W20_2015          7
W20_2016          7
W20_2017          7
W20_2018          7
W20_2019          7
W20_2020          7
W20_2021          7
W20_2022          7
W20_2023          7
W20_2024          7
W20_TRUNG BÌNH    7
W20_TRUNG VỊ      7
W21_2010          7
W21_2011          7
W21_2012          7
W21_2013          7
W21_2014          7
W21_2015          7
W21_2016          7
W21_2017          7
W21_2018          7
W21_2019          7
W21_2020          7
W21_2021          7
W21_2022          7
W21_2023          7
W21_2024          7
W21_TRUNG BÌNH    7
W21_TRUNG VỊ      7
W22_2010          7
W22_2011          7
W22_2012          7
W22_2013          7
W22_2014          7
W22_2015          7
W22_2016          7
W22_2017          7
W22_2018          7
W22_2019          7
W22_2020          7
W22_2021          7
W22_2022          7
W22_2023          7
W22_2024          7
W22_TRUNG BÌNH    7
W22_TRUNG VỊ      7
W23_2010          7
W23_2011          7
W23_2012          7
W23_2013          7
W23_2014          7
W23_2015          7
W23_2016          7
W23_2017          7
W23_2018          7
W23_2019          7
W23_2020          7
W23_2021          7
W23_2022          7
W23_2023          7
W23_2024          7
W23_TRUNG BÌNH    7
W23_TRUNG VỊ      7
W24_2010          7
W24_2011          7
W24_2012          7
W24_2013          7
W24_2014          7
W24_2015          7
W24_2016          7
W24_2017          7
W24_2018          7
W24_2019          7
W24_2020          7
W24_2021          7
W24_2022          7
W24_2023          7
W24_2024          7
W24_TRUNG BÌNH    7
W24_TRUNG VỊ      7
W25_2010          7
W25_2011          7
W25_2012          7
W25_2013          7
W25_2014          7
W25_2015          7
W25_2016          7
W25_2017          7
W25_2018          7
W25_2019          7
W25_2020          7
W25_2021          7
W25_2022          7
W25_2023          7
W25_2024          7
W25_TRUNG BÌNH    7
W25_TRUNG VỊ      7
W26_2010          7
W26_2011          7
W26_2012          7
W26_2013          7
W26_2014          7
W26_2015          7
W26_2016          7
W26_2017          7
W26_2018          7
W26_2019          7
W26_2020          7
W26_2021          7
W26_2022          7
W26_2023          7
W26_2024          7
W26_TRUNG BÌNH    7
W26_TRUNG VỊ      7
W27_2010          7
W27_2011          7
W27_2012          7
W27_2013          7
W27_2014          7
W27_2015          7
W27_2016          7
W27_2017          7
W27_2018          7
W27_2019          7
W27_2020          7
W27_2021          7
W27_2022          7
W27_2023          7
W27_2024          7
W27_TRUNG BÌNH    7
W27_TRUNG VỊ      7
W28_2010          7
W28_2011          7
W28_2012          7
W28_2013          7
W28_2014          7
W28_2015          7
W28_2016          7
W28_2017          6
W28_2018          7
W28_2019          7
W28_2020          7
W28_2021          7
W28_2022          7
W28_2023          7
W28_2024          7
W28_TRUNG BÌNH    7
W28_TRUNG VỊ      7
W29_2010          7
W29_2011          7
W29_2012          7
W29_2013          7
W29_2014          7
W29_2015          7
W29_2016          7
W29_2017          7
W29_2018          7
W29_2019          7
W29_2020          7
W29_2021          7
W29_2022          7
W29_2023          7
W29_2024          7
W29_TRUNG BÌNH    7
W29_TRUNG VỊ      7
W2_2010           7
W2_2011           7
W2_2012           7
W2_2013           7
W2_2014           7
W2_2015           7
W2_2016           7
W2_2017           7
W2_2018           7
W2_2019           7
W2_2020           7
W2_2021           7
W2_2022           7
W2_2023           7
W2_2024           7
W2_2025           7
W2_TRUNG BÌNH     7
W2_TRUNG VỊ       7
W30_2010          7
W30_2011          7
W30_2012          7
W30_2013          7
W30_2014          7
W30_2015          7
W30_2016          7
W30_2017          7
W30_2018          7
W30_2019          7
W30_2020          7
W30_2021          7
W30_2022          7
W30_2023          7
W30_2024          7
W30_TRUNG BÌNH    7
W30_TRUNG VỊ      7
W31_2010          7
W31_2011          7
W31_2012          7
W31_2013          7
W31_2014          7
W31_2015          7
W31_2016          7
W31_2017          7
W31_2018          7
W31_2019          7
W31_2020          7
W31_2021          7
W31_2022          7
W31_2023          7
W31_2024          7
W31_TRUNG BÌNH    7
W31_TRUNG VỊ      7
W32_2010          7
W32_2011          7
W32_2012          7
W32_2013          6
W32_2014          7
W32_2015          7
W32_2016          7
W32_2017          7
W32_2018          7
W32_2019          7
W32_2020          7
W32_2021          7
W32_2022          7
W32_2023          7
W32_2024          7
W32_TRUNG BÌNH    7
W32_TRUNG VỊ      7
W33_2010          7
W33_2011          7
W33_2012          7
W33_2013          7
W33_2014          7
W33_2015          7
W33_2016          7
W33_2017          7
W33_2018          7
W33_2019          7
W33_2020          7
W33_2021          7
W33_2022          7
W33_2023          7
W33_2024          7
W33_TRUNG BÌNH    7
W33_TRUNG VỊ      7
W34_2010          7
W34_2011          7
W34_2012          7
W34_2013          7
W34_2014          7
W34_2015          7
W34_2016          7
W34_2017          7
W34_2018          7
W34_2019          7
W34_2020          7
W34_2021          7
W34_2022          7
W34_2023          7
W34_2024          7
W34_TRUNG BÌNH    7
W34_TRUNG VỊ      7
W35_2010          7
W35_2011          7
W35_2012          7
W35_2013          7
W35_2014          7
W35_2015          7
W35_2016          7
W35_2017          7
W35_2018          7
W35_2019          7
W35_2020          7
W35_2021          7
W35_2022          7
W35_2023          7
W35_2024          7
W35_TRUNG BÌNH    7
W35_TRUNG VỊ      7
W36_2010          7
W36_2011          7
W36_2012          7
W36_2013          7
W36_2014          7
W36_2015          7
W36_2016          7
W36_2017          7
W36_2018          7
W36_2019          7
W36_2020          7
W36_2021          7
W36_2022          7
W36_2023          7
W36_2024          7
W36_TRUNG BÌNH    7
W36_TRUNG VỊ      7
W37_2010          7
W37_2011          7
W37_2012          7
W37_2013          7
W37_2014          7
W37_2015          7
W37_2016          7
W37_2017          7
W37_2018          7
W37_2019          7
W37_2020          7
W37_2021          7
W37_2022          7
W37_2023          7
W37_2024          7
W37_TRUNG BÌNH    7
W37_TRUNG VỊ      7
W38_2010          7
W38_2011          7
W38_2012          7
W38_2013          7
W38_2014          7
W38_2015          7
W38_2016          7
W38_2017          7
W38_2018          7
W38_2019          7
W38_2020          7
W38_2021          7
W38_2022          7
W38_2023          7
W38_2024          7
W38_TRUNG BÌNH    7
W38_TRUNG VỊ      7
W39_2010          7
W39_2011          7
W39_2012          7
W39_2013          7
W39_2014          7
W39_2015          7
W39_2016          7
W39_2017          7
W39_2018          7
W39_2019          7
W39_2020          7
W39_2021          7
W39_2022          7
W39_2023          7
W39_2024          7
W39_TRUNG BÌNH    7
W39_TRUNG VỊ      7
W3_2010           7
W3_2011           7
W3_2012           7
W3_2013           7
W3_2014           7
W3_2015           7
W3_2016           7
W3_2017           7
W3_2018           7
W3_2019           7
W3_2020           7
W3_2021           7
W3_2022           7
W3_2023           7
W3_2024           7
W3_2025           7
W3_TRUNG BÌNH     7
W3_TRUNG VỊ       7
W40_2010          7
W40_2011          7
W40_2012          7
W40_2013          7
W40_2014          7
W40_2015          7
W40_2016          7
W40_2017          7
W40_2018          7
W40_2019          7
W40_2020          7
W40_2021          7
W40_2022          7
W40_2023          7
W40_2024          7
W40_TRUNG BÌNH    7
W40_TRUNG VỊ      7
W41_2010          7
W41_2011          7
W41_2012          7
W41_2013          7
W41_2014          7
W41_2015          7
W41_2016          7
W41_2017          7
W41_2018          7
W41_2019          7
W41_2020          7
W41_2021          7
W41_2022          7
W41_2023          7
W41_2024          7
W41_TRUNG BÌNH    7
W41_TRUNG VỊ      7
W42_2010          7
W42_2011          7
W42_2012          6
W42_2013          7
W42_2014          7
W42_2015          7
W42_2016          7
W42_2017          7
W42_2018          7
W42_2019          7
W42_2020          7
W42_2021          7
W42_2022          7
W42_2023          7
W42_2024          7
W42_TRUNG BÌNH    7
W42_TRUNG VỊ      7
W43_2010          7
W43_2011          7
W43_2012          7
W43_2013          7
W43_2014          7
W43_2015          7
W43_2016          7
W43_2017          7
W43_2018          7
W43_2019          7
W43_2020          7
W43_2021          7
W43_2022          7
W43_2023          7
W43_2024          7
W43_TRUNG BÌNH    7
W43_TRUNG VỊ      7
W44_2010          7
W44_2011          7
W44_2012          7
W44_2013          7
W44_2014          7
W44_2015          7
W44_2016          7
W44_2017          7
W44_2018          7
W44_2019          7
W44_2020          7
W44_2021          7
W44_2022          7
W44_2023          7
W44_2024          7
W44_TRUNG BÌNH    7
W44_TRUNG VỊ      7
W45_2010          7
W45_2011          7
W45_2012          7
W45_2013          7
W45_2014          7
W45_2015          7
W45_2016          7
W45_2017          7
W45_2018          7
W45_2019          7
W45_2020          7
W45_2021          7
W45_2022          7
W45_2023          7
W45_2024          7
W45_TRUNG BÌNH    7
W45_TRUNG VỊ      7
W46_2010          7
W46_2011          7
W46_2012          7
W46_2013          7
W46_2014          7
W46_2015          7
W46_2016          7
W46_2017          7
W46_2018          7
W46_2019          7
W46_2020          7
W46_2021          7
W46_2022          7
W46_2023          7
W46_2024          7
W46_TRUNG BÌNH    7
W46_TRUNG VỊ      7
W47_2010          7
W47_2011          7
W47_2012          7
W47_2013          7
W47_2014          7
W47_2015          7
W47_2016          7
W47_2017          7
W47_2018          7
W47_2019          7
W47_2020          7
W47_2021          7
W47_2022          7
W47_2023          7
W47_2024          7
W47_TRUNG BÌNH    7
W47_TRUNG VỊ      7
W48_2010          7
W48_2011          7
W48_2012          7
W48_2013          7
W48_2014          7
W48_2015          7
W48_2016          7
W48_2017          7
W48_2018          7
W48_2019          7
W48_2020          7
W48_2021          7
W48_2022          7
W48_2023          7
W48_2024          7
W48_TRUNG BÌNH    7
W48_TRUNG VỊ      7
W49_2010          7
W49_2011          7
W49_2012          7
W49_2013          7
W49_2014          7
W49_2015          7
W49_2016          7
W49_2017          7
W49_2018          7
W49_2019          7
W49_2020          7
W49_2021          7
W49_2022          7
W49_2023          7
W49_2024          7
W49_TRUNG BÌNH    7
W49_TRUNG VỊ      7
W4_2010           7
W4_2011           7
W4_2013           7
W4_2014           7
W4_2015           7
W4_2016           7
W4_2017           7
W4_2018           7
W4_2019           7
W4_2020           7
W4_2021           7
W4_2022           7
W4_2023           7
W4_2024           7
W4_2025           7
W4_TRUNG BÌNH     7
W4_TRUNG VỊ       7
W50_2010          7
W50_2011          7
W50_2012          7
W50_2013          7
W50_2014          7
W50_2015          7
W50_2016          7
W50_2017          7
W50_2018          7
W50_2019          7
W50_2020          7
W50_2021          7
W50_2022          7
W50_2023          7
W50_2024          7
W50_TRUNG BÌNH    7
W50_TRUNG VỊ      7
W51_2010          7
W51_2011          7
W51_2012          7
W51_2013          7
W51_2014          7
W51_2015          7
W51_2016          7
W51_2017          7
W51_2018          7
W51_2019          7
W51_2020          7
W51_2021          7
W51_2022          7
W51_2023          7
W51_2024          7
W51_TRUNG BÌNH    7
W51_TRUNG VỊ      7
W52_2010          7
W52_2011          7
W52_2012          7
W52_2013          7
W52_2014          7
W52_2015          7
W52_2016          7
W52_2017          7
W52_2018          7
W52_2019          7
W52_2020          7
W52_2021          7
W52_2022          7
W52_2023          7
W52_2024          7
W52_TRUNG BÌNH    7
W52_TRUNG VỊ      7
W53_2010          7
W53_2011          7
W53_2013          7
W53_2014          7
W53_2015          7
W53_2016          7
W53_2019          7
W53_2020          7
W53_2021          7
W53_2022          7
W53_2024          7
W53_TRUNG BÌNH    7
W53_TRUNG VỊ      7
W5_2010           7
W5_2011           7
W5_2012           7
W5_2013           7
W5_2014           7
W5_2015           7
W5_2016           7
W5_2017           7
W5_2018           7
W5_2019           7
W5_2020           7
W5_2021           7
W5_2022           7
W5_2023           7
W5_2024           7
W5_TRUNG BÌNH     7
W5_TRUNG VỊ       7
W6_2010           7
W6_2012           7
W6_2013           7
W6_2014           7
W6_2015           7
W6_2016           7
W6_2017           7
W6_2018           7
W6_2020           7
W6_2021           7
W6_2023           7
W6_2024           7
W6_2025           7
W6_TRUNG BÌNH     7
W6_TRUNG VỊ       7
W7_2010           7
W7_2011           7
W7_2012           7
W7_2014           7
W7_2015           7
W7_2017           7
W7_2018           7
W7_2019           7
W7_2020           7
W7_2021           7
W7_2022           7
W7_2023           7
W7_2024           7
W7_2025           7
W7_TRUNG BÌNH     7
W7_TRUNG VỊ       7
W8_2011           7
W8_2012           7
W8_2013           7
W8_2014           7
W8_2016           7
W8_2017           7
W8_2018           7
W8_2019           7
W8_2020           7
W8_2021           7
W8_2022           7
W8_2023           7
W8_2024           7
W8_2025           7
W8_TRUNG BÌNH     7
W8_TRUNG VỊ       7
W9_2010           7
W9_2011           7
W9_2012           7
W9_2013           7
W9_2014           7
W9_2015           7
W9_2016           7
W9_2017           7
W9_2018           7
W9_2019           7
W9_2020           7
W9_2021           7
W9_2022           7
W9_2023           7
W9_2024           7
W9_2025           7
W9_TRUNG BÌNH     7
W9_TRUNG VỊ       7
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Industry:
['Chăm sóc sức khỏe', 'Công nghiệp', 'Nguyên vật liệu', 'Năng lượng', 'Tiêu dùng không thiết yếu', 'Tiêu dùng thiết yếu', 'Tài chính']..., số giá trị độc nhất: 7
Type of Value:
['Dòng tiền ngành']..., số giá trị độc nhất: 1
M10_2010:
['0.76%', '25.57%', '14.68%', '2.33%', '8.71%', '10.22%', '17.36%']..., số giá trị độc nhất: 7
M10_2011:
['0.61%', '16.98%', '10.21%', '1.51%', '8.17%', '8.71%', '29.25%']..., số giá trị độc nhất: 7
M10_2012:
['0.48%', '10.28%', '15.93%', '2.53%', '8.47%', '10.86%', '29.37%']..., số giá trị độc nhất: 7
M10_2013:
['2.00%', '13.74%', '11.51%', '2.85%', '12.27%', '9.16%', '15.01%']..., số giá trị độc nhất: 7
M10_2014:
['2.88%', '12.97%', '10.36%', '7.24%', '10.75%', '11.60%', '16.07%']..., số giá trị độc nhất: 7
M10_2015:
['1.23%', '13.62%', '12.32%', '4.41%', '12.99%', '14.58%', '16.29%']..., số giá trị độc nhất: 7
M10_2016:
['1.41%', '16.16%', '21.15%', '3.33%', '12.47%', '15.33%', '8.76%']..., số giá trị độc nhất: 7
M10_2017:
['2.65%', '18.64%', '13.80%', '1.84%', '11.09%', '9.45%', '18.23%']..., số giá trị độc nhất: 7
M10_2018:
['0.73%', '10.99%', '12.80%', '5.95%', '9.64%', '11.67%', '28.23%']..., số giá trị độc nhất: 7
M10_2019:
['0.48%', '24.41%', '8.75%', '2.29%', '8.50%', '9.53%', '20.76%']..., số giá trị độc nhất: 7
M10_2020:
['0.35%', '6.74%', '15.28%', '2.09%', '7.40%', '12.36%', '32.23%']..., số giá trị độc nhất: 7
M10_2021:
['0.93%', '10.31%', '18.89%', '3.85%', '7.79%', '5.98%', '24.73%']..., số giá trị độc nhất: 7
M10_2022:
['0.25%', '7.82%', '16.05%', '5.02%', '8.80%', '8.89%', '29.29%']..., số giá trị độc nhất: 7
M10_2023:
['0.32%', '11.58%', '12.17%', '4.60%', '7.91%', '6.38%', '33.02%']..., số giá trị độc nhất: 7
M10_2024:
['0.38%', '6.81%', '10.54%', '2.24%', '7.94%', '8.25%', '41.25%']..., số giá trị độc nhất: 7
M10_TRUNG BÌNH:
['+1.03%', '+13.77%', '+13.63%', '+3.47%', '+9.53%', '+10.20%', '+23.99%']..., số giá trị độc nhất: 7
M10_TRUNG VỊ:
['+0.73%', '+12.97%', '+12.80%', '+2.85%', '+8.71%', '+9.53%', '+24.73%']..., số giá trị độc nhất: 7
M11_2010:
['0.55%', '23.79%', '13.56%', '3.78%', '10.06%', '8.05%', '19.27%']..., số giá trị độc nhất: 7
M11_2011:
['0.93%', '14.40%', '9.63%', '1.65%', '6.99%', '9.50%', '34.82%']..., số giá trị độc nhất: 7
M11_2012:
['0.23%', '11.89%', '14.59%', '2.47%', '7.06%', '11.48%', '33.64%']..., số giá trị độc nhất: 7
M11_2013:
['1.56%', '17.43%', '10.75%', '2.52%', '11.31%', '8.80%', '14.14%']..., số giá trị độc nhất: 7
M11_2014:
['3.40%', '11.54%', '10.04%', '5.98%', '16.93%', '11.84%', '11.75%']..., số giá trị độc nhất: 7
M11_2015:
['2.40%', '12.64%', '13.17%', '2.10%', '14.86%', '18.07%', '10.69%']..., số giá trị độc nhất: 7
M11_2016:
['1.38%', '22.70%', '18.64%', '2.17%', '9.61%', '19.37%', '6.48%']..., số giá trị độc nhất: 7
M11_2017:
['1.67%', '16.56%', '12.09%', '3.49%', '8.36%', '11.86%', '18.18%']..., số giá trị độc nhất: 7
M11_2018:
['0.72%', '13.59%', '11.64%', '4.74%', '9.37%', '15.46%', '24.45%']..., số giá trị độc nhất: 7
M11_2019:
['0.75%', '24.81%', '8.65%', '2.03%', '7.98%', '8.63%', '17.96%']..., số giá trị độc nhất: 7
M11_2020:
['0.32%', '7.53%', '20.37%', '2.64%', '8.44%', '9.21%', '27.54%']..., số giá trị độc nhất: 7
M11_2021:
['0.89%', '10.37%', '14.59%', '2.55%', '8.90%', '6.94%', '29.99%']..., số giá trị độc nhất: 7
M11_2022:
['0.26%', '5.93%', '14.96%', '3.55%', '7.47%', '7.50%', '34.17%']..., số giá trị độc nhất: 7
M11_2023:
['0.22%', '10.02%', '11.73%', '3.04%', '7.48%', '6.22%', '33.10%']..., số giá trị độc nhất: 7
M11_2024:
['0.42%', '9.00%', '11.59%', '1.64%', '8.64%', '7.93%', '30.23%']..., số giá trị độc nhất: 7
M11_TRUNG BÌNH:
['+1.05%', '+14.15%', '+13.07%', '+2.96%', '+9.56%', '+10.73%', '+23.09%']..., số giá trị độc nhất: 7
M11_TRUNG VỊ:
['+0.75%', '+12.64%', '+12.09%', '+2.55%', '+8.64%', '+9.21%', '+24.45%']..., số giá trị độc nhất: 7
M12_2010:
['0.53%', '21.11%', '10.47%', '2.22%', '8.79%', '5.65%', '27.08%']..., số giá trị độc nhất: 7
M12_2011:
['0.49%', '13.55%', '9.02%', '1.83%', '8.14%', '9.53%', '35.22%']..., số giá trị độc nhất: 7
M12_2012:
['0.27%', '13.46%', '12.87%', '2.76%', '6.89%', '8.51%', '33.69%']..., số giá trị độc nhất: 7
M12_2013:
['1.79%', '16.82%', '9.67%', '3.77%', '10.96%', '9.10%', '13.15%']..., số giá trị độc nhất: 7
M12_2014:
['2.05%', '11.82%', '10.99%', '8.69%', '14.09%', '10.72%', '15.60%']..., số giá trị độc nhất: 7
M12_2015:
['0.84%', '10.04%', '11.79%', '2.58%', '20.05%', '18.62%', '13.91%']..., số giá trị độc nhất: 7
M12_2016:
['1.05%', '21.13%', '17.08%', '2.26%', '10.61%', '19.76%', '7.53%']..., số giá trị độc nhất: 7
M12_2017:
['1.90%', '17.50%', '12.48%', '4.68%', '9.46%', '11.29%', '19.51%']..., số giá trị độc nhất: 7
M12_2018:
['0.68%', '15.94%', '11.09%', '4.34%', '9.00%', '10.97%', '28.15%']..., số giá trị độc nhất: 7
M12_2019:
['1.43%', '27.28%', '9.71%', '1.79%', '9.48%', '9.77%', '13.89%']..., số giá trị độc nhất: 7
M12_2020:
['0.89%', '9.08%', '14.65%', '2.84%', '7.36%', '9.34%', '29.69%']..., số giá trị độc nhất: 7
M12_2021:
['0.98%', '13.42%', '11.82%', '1.78%', '8.31%', '8.13%', '24.54%']..., số giá trị độc nhất: 7
M12_2022:
['0.20%', '7.04%', '12.81%', '3.03%', '6.40%', '7.44%', '35.87%']..., số giá trị độc nhất: 7
M12_2023:
['0.25%', '9.70%', '11.98%', '2.43%', '8.03%', '8.83%', '32.63%']..., số giá trị độc nhất: 7
M12_2024:
['0.75%', '9.52%', '13.05%', '1.95%', '8.28%', '7.54%', '31.78%']..., số giá trị độc nhất: 7
M12_TRUNG BÌNH:
['+0.94%', '+14.49%', '+11.97%', '+3.13%', '+9.72%', '+10.35%', '+24.15%']..., số giá trị độc nhất: 7
M12_TRUNG VỊ:
['+0.84%', '+13.46%', '+11.82%', '+2.58%', '+8.79%', '+9.34%', '+27.08%']..., số giá trị độc nhất: 7
M1_2010:
['0.90%', '24.45%', '11.93%', '1.28%', '8.33%', '10.02%', '21.63%']..., số giá trị độc nhất: 7
M1_2011:
['0.55%', '18.66%', '12.93%', '2.65%', '10.25%', '8.44%', '24.79%']..., số giá trị độc nhất: 7
M1_2012:
['0.65%', '11.63%', '9.39%', '2.13%', '9.33%', '10.93%', '38.10%']..., số giá trị độc nhất: 7
M1_2013:
['0.19%', '13.33%', '12.37%', '2.52%', '8.39%', '7.48%', '31.29%']..., số giá trị độc nhất: 7
M1_2014:
['1.65%', '12.45%', '10.09%', '5.43%', '11.71%', '7.38%', '20.78%']..., số giá trị độc nhất: 7
M1_2015:
['1.53%', '11.97%', '10.98%', '5.52%', '14.23%', '11.06%', '21.12%']..., số giá trị độc nhất: 7
M1_2016:
['1.35%', '11.87%', '11.94%', '3.51%', '15.35%', '15.43%', '13.66%']..., số giá trị độc nhất: 7
M1_2017:
['1.08%', '22.16%', '16.87%', '1.92%', '7.69%', '16.61%', '13.87%']..., số giá trị độc nhất: 7
M1_2018:
['1.26%', '13.64%', '10.79%', '4.64%', '8.08%', '9.14%', '30.82%']..., số giá trị độc nhất: 7
M1_2019:
['0.63%', '17.24%', '11.41%', '3.71%', '9.49%', '10.87%', '25.16%']..., số giá trị độc nhất: 7
M1_2020:
['1.10%', '11.19%', '11.56%', '3.91%', '10.86%', '7.39%', '29.72%']..., số giá trị độc nhất: 7
M1_2021:
['1.10%', '8.82%', '12.39%', '3.28%', '6.67%', '9.52%', '32.06%']..., số giá trị độc nhất: 7
M1_2022:
['0.72%', '12.47%', '10.10%', '2.95%', '9.43%', '6.62%', '27.28%']..., số giá trị độc nhất: 7
M1_2023:
['0.22%', '9.50%', '14.26%', '4.00%', '6.69%', '8.13%', '36.34%']..., số giá trị độc nhất: 7
M1_2024:
['0.22%', '10.00%', '11.68%', '2.15%', '7.75%', '6.98%', '39.96%']..., số giá trị độc nhất: 7
M1_2025:
['0.65%', '11.11%', '10.93%', '1.94%', '7.53%', '7.95%', '34.97%']..., số giá trị độc nhất: 7
M1_TRUNG BÌNH:
['+0.86%', '+13.78%', '+11.85%', '+3.22%', '+9.48%', '+9.62%', '+27.60%']..., số giá trị độc nhất: 7
M1_TRUNG VỊ:
['+0.81%', '+12.21%', '+11.62%', '+3.12%', '+8.86%', '+8.79%', '+28.50%']..., số giá trị độc nhất: 7
M2_2010:
['1.02%', '19.57%', '14.17%', '1.95%', '7.05%', '12.72%', '22.00%']..., số giá trị độc nhất: 7
M2_2011:
['0.51%', '17.72%', '11.00%', '4.28%', '9.00%', '6.51%', '25.92%']..., số giá trị độc nhất: 7
M2_2012:
['0.36%', '13.65%', '10.07%', '3.27%', '6.92%', '8.45%', '40.55%']..., số giá trị độc nhất: 7
M2_2013:
['0.14%', '15.18%', '12.98%', '2.17%', '8.81%', '6.52%', '27.55%']..., số giá trị độc nhất: 7
M2_2014:
['0.96%', '15.43%', '9.58%', '3.62%', '10.75%', '10.43%', '20.97%']..., số giá trị độc nhất: 7
M2_2015:
['3.49%', '11.41%', '9.51%', '4.44%', '15.80%', '9.26%', '22.64%']..., số giá trị độc nhất: 7
M2_2016:
['1.39%', '10.05%', '10.91%', '3.76%', '16.54%', '19.14%', '15.44%']..., số giá trị độc nhất: 7
M2_2017:
['1.37%', '24.49%', '18.67%', '2.63%', '8.04%', '12.95%', '10.46%']..., số giá trị độc nhất: 7
M2_2018:
['0.86%', '12.42%', '11.62%', '3.93%', '6.51%', '8.18%', '34.04%']..., số giá trị độc nhất: 7
M2_2019:
['1.47%', '13.71%', '11.79%', '3.67%', '10.63%', '11.04%', '24.23%']..., số giá trị độc nhất: 7
M2_2020:
['1.30%', '7.97%', '10.46%', '2.48%', '9.47%', '8.96%', '36.51%']..., số giá trị độc nhất: 7
M2_2021:
['0.56%', '8.21%', '14.22%', '4.58%', '6.33%', '7.40%', '32.36%']..., số giá trị độc nhất: 7
M2_2022:
['0.52%', '11.24%', '12.96%', '4.31%', '9.45%', '5.62%', '28.72%']..., số giá trị độc nhất: 7
M2_2023:
['0.38%', '9.56%', '15.75%', '4.78%', '7.29%', '7.34%', '31.88%']..., số giá trị độc nhất: 7
M2_2024:
['0.24%', '9.47%', '12.05%', '2.69%', '7.02%', '7.97%', '37.67%']..., số giá trị độc nhất: 7
M2_2025:
['0.55%', '11.39%', '13.52%', '1.84%', '7.96%', '7.29%', '35.93%']..., số giá trị độc nhất: 7
M2_TRUNG BÌNH:
['+0.94%', '+13.22%', '+12.45%', '+3.40%', '+9.22%', '+9.36%', '+27.93%']..., số giá trị độc nhất: 7
M2_TRUNG VỊ:
['+0.71%', '+11.91%', '+11.92%', '+3.64%', '+8.43%', '+8.32%', '+28.13%']..., số giá trị độc nhất: 7
M3_2010:
['0.71%', '23.09%', '13.24%', '1.25%', '10.54%', '10.25%', '19.28%']..., số giá trị độc nhất: 7
M3_2011:
['0.69%', '20.81%', '10.88%', '2.39%', '8.84%', '7.89%', '28.28%']..., số giá trị độc nhất: 7
M3_2012:
['0.31%', '14.65%', '10.17%', '2.99%', '6.03%', '6.19%', '43.18%']..., số giá trị độc nhất: 7
M3_2013:
['0.54%', '14.84%', '14.31%', '3.53%', '9.17%', '7.73%', '26.08%']..., số giá trị độc nhất: 7
M3_2014:
['1.19%', '14.72%', '10.04%', '4.83%', '8.86%', '9.95%', '22.89%']..., số giá trị độc nhất: 7
M3_2015:
['2.38%', '14.49%', '8.45%', '10.06%', '16.60%', '8.30%', '14.63%']..., số giá trị độc nhất: 7
M3_2016:
['1.32%', '11.31%', '16.59%', '3.45%', '15.96%', '17.70%', '11.61%']..., số giá trị độc nhất: 7
M3_2017:
['1.58%', '30.10%', '12.67%', '1.49%', '7.40%', '12.49%', '11.49%']..., số giá trị độc nhất: 7
M3_2018:
['1.04%', '11.48%', '9.52%', '4.06%', '6.17%', '9.69%', '33.57%']..., số giá trị độc nhất: 7
M3_2019:
['1.02%', '16.37%', '11.81%', '3.68%', '11.33%', '9.30%', '20.89%']..., số giá trị độc nhất: 7
M3_2020:
['0.94%', '7.73%', '10.35%', '2.92%', '9.71%', '11.08%', '33.66%']..., số giá trị độc nhất: 7
M3_2021:
['0.47%', '8.96%', '12.49%', '4.67%', '7.35%', '7.47%', '34.01%']..., số giá trị độc nhất: 7
M3_2022:
['0.58%', '13.10%', '18.96%', '4.11%', '10.28%', '7.17%', '19.58%']..., số giá trị độc nhất: 7
M3_2023:
['0.36%', '8.91%', '14.99%', '3.75%', '5.96%', '7.07%', '38.05%']..., số giá trị độc nhất: 7
M3_2024:
['0.21%', '9.09%', '11.37%', '2.56%', '8.55%', '7.88%', '35.02%']..., số giá trị độc nhất: 7
M3_2025:
['0.34%', '8.94%', '11.63%', '1.39%', '7.30%', '6.71%', '42.02%']..., số giá trị độc nhất: 7
M3_TRUNG BÌNH:
['+0.89%', '+14.64%', '+12.39%', '+3.72%', '+9.52%', '+9.34%', '+26.15%']..., số giá trị độc nhất: 7
M3_TRUNG VỊ:
['+0.71%', '+14.49%', '+11.81%', '+3.53%', '+8.86%', '+8.30%', '+26.08%']..., số giá trị độc nhất: 7
M4_2010:
['0.75%', '29.33%', '13.94%', '2.15%', '12.45%', '8.37%', '10.88%']..., số giá trị độc nhất: 7
M4_2011:
['0.62%', '19.55%', '10.18%', '2.58%', '8.50%', '11.60%', '26.26%']..., số giá trị độc nhất: 7
M4_2012:
['0.22%', '15.46%', '11.45%', '3.02%', '7.52%', '7.77%', '32.84%']..., số giá trị độc nhất: 7
M4_2013:
['0.33%', '11.21%', '14.99%', '2.95%', '11.62%', '9.23%', '23.58%']..., số giá trị độc nhất: 7
M4_2014:
['1.17%', '13.89%', '10.82%', '6.60%', '7.63%', '8.10%', '24.36%']..., số giá trị độc nhất: 7
M4_2015:
['3.78%', '14.48%', '11.05%', '7.87%', '17.57%', '8.18%', '14.32%']..., số giá trị độc nhất: 7
M4_2016:
['1.46%', '12.18%', '19.26%', '2.54%', '15.04%', '17.23%', '11.69%']..., số giá trị độc nhất: 7
M4_2017:
['0.91%', '32.71%', '12.85%', '1.54%', '8.08%', '9.30%', '13.56%']..., số giá trị độc nhất: 7
M4_2018:
['0.74%', '10.96%', '7.91%', '2.12%', '6.06%', '10.68%', '35.04%']..., số giá trị độc nhất: 7
M4_2019:
['0.51%', '20.47%', '11.67%', '6.17%', '9.96%', '9.53%', '16.26%']..., số giá trị độc nhất: 7
M4_2020:
['1.04%', '9.90%', '11.96%', '3.90%', '11.54%', '12.30%', '24.76%']..., số giá trị độc nhất: 7
M4_2021:
['0.48%', '7.58%', '12.85%', '2.84%', '6.92%', '7.19%', '36.68%']..., số giá trị độc nhất: 7
M4_2022:
['0.62%', '11.36%', '15.41%', '2.70%', '11.84%', '7.68%', '23.81%']..., số giá trị độc nhất: 7
M4_2023:
['0.40%', '9.43%', '11.16%', '3.03%', '6.82%', '7.50%', '34.09%']..., số giá trị độc nhất: 7
M4_2024:
['0.21%', '8.24%', '9.82%', '3.94%', '8.21%', '7.21%', '35.50%']..., số giá trị độc nhất: 7
M4_TRUNG BÌNH:
['+0.88%', '+15.12%', '+12.35%', '+3.60%', '+9.98%', '+9.46%', '+24.24%']..., số giá trị độc nhất: 7
M4_TRUNG VỊ:
['+0.62%', '+12.18%', '+11.67%', '+2.95%', '+8.50%', '+8.37%', '+24.36%']..., số giá trị độc nhất: 7
M5_2010:
['0.63%', '29.52%', '12.53%', '2.38%', '10.61%', '8.32%', '15.50%']..., số giá trị độc nhất: 7
M5_2011:
['0.66%', '15.32%', '9.27%', '2.99%', '8.03%', '13.49%', '28.44%']..., số giá trị độc nhất: 7
M5_2012:
['0.16%', '14.56%', '14.32%', '3.40%', '8.43%', '10.15%', '26.47%']..., số giá trị độc nhất: 7
M5_2013:
['0.29%', '11.98%', '12.34%', '4.35%', '10.34%', '8.47%', '20.15%']..., số giá trị độc nhất: 7
M5_2014:
['1.52%', '12.03%', '10.36%', '4.41%', '7.91%', '9.37%', '24.29%']..., số giá trị độc nhất: 7
M5_2015:
['3.27%', '15.31%', '9.78%', '5.38%', '17.49%', '9.37%', '14.81%']..., số giá trị độc nhất: 7
M5_2016:
['0.91%', '9.36%', '19.03%', '4.62%', '16.83%', '15.87%', '13.51%']..., số giá trị độc nhất: 7
M5_2017:
['1.34%', '30.28%', '12.37%', '1.26%', '8.54%', '10.50%', '13.83%']..., số giá trị độc nhất: 7
M5_2018:
['0.57%', '8.54%', '10.76%', '2.79%', '7.12%', '11.68%', '30.64%']..., số giá trị độc nhất: 7
M5_2019:
['0.36%', '18.76%', '10.66%', '7.08%', '10.63%', '9.01%', '17.93%']..., số giá trị độc nhất: 7
M5_2020:
['0.63%', '7.99%', '15.14%', '3.30%', '10.17%', '11.71%', '25.32%']..., số giá trị độc nhất: 7
M5_2021:
['0.51%', '5.70%', '14.55%', '2.34%', '5.43%', '5.18%', '47.85%']..., số giá trị độc nhất: 7
M5_2022:
['0.40%', '10.59%', '16.37%', '4.57%', '9.05%', '7.68%', '25.45%']..., số giá trị độc nhất: 7
M5_2023:
['0.66%', '11.38%', '11.72%', '4.18%', '6.78%', '6.81%', '31.50%']..., số giá trị độc nhất: 7
M5_2024:
['0.31%', '10.39%', '12.45%', '3.52%', '9.94%', '9.29%', '29.91%']..., số giá trị độc nhất: 7
M5_TRUNG BÌNH:
['+0.81%', '+14.11%', '+12.78%', '+3.77%', '+9.82%', '+9.79%', '+24.37%']..., số giá trị độc nhất: 7
M5_TRUNG VỊ:
['+0.63%', '+11.98%', '+12.37%', '+3.52%', '+9.05%', '+9.37%', '+25.32%']..., số giá trị độc nhất: 7
M6_2010:
['1.05%', '29.96%', '13.80%', '1.74%', '10.84%', '7.50%', '14.97%']..., số giá trị độc nhất: 7
M6_2011:
['0.57%', '18.86%', '8.39%', '2.47%', '9.25%', '10.24%', '28.37%']..., số giá trị độc nhất: 7
M6_2012:
['0.12%', '15.34%', '11.73%', '2.03%', '8.73%', '7.77%', '32.15%']..., số giá trị độc nhất: 7
M6_2013:
['0.39%', '11.18%', '11.65%', '6.19%', '10.94%', '9.09%', '20.05%']..., số giá trị độc nhất: 7
M6_2014:
['2.45%', '11.35%', '11.31%', '5.04%', '10.91%', '8.25%', '23.32%']..., số giá trị độc nhất: 7
M6_2015:
['3.03%', '15.63%', '8.85%', '5.70%', '14.59%', '7.90%', '20.66%']..., số giá trị độc nhất: 7
M6_2016:
['1.47%', '11.76%', '20.64%', '4.60%', '18.88%', '14.71%', '9.16%']..., số giá trị độc nhất: 7
M6_2017:
['2.13%', '19.59%', '14.77%', '1.37%', '12.23%', '12.05%', '17.37%']..., số giá trị độc nhất: 7
M6_2018:
['0.69%', '8.70%', '13.02%', '2.21%', '7.74%', '10.07%', '32.21%']..., số giá trị độc nhất: 7
M6_2019:
['0.34%', '21.04%', '11.51%', '4.57%', '9.80%', '9.37%', '16.87%']..., số giá trị độc nhất: 7
M6_2020:
['0.81%', '10.71%', '15.24%', '3.02%', '9.93%', '11.55%', '22.72%']..., số giá trị độc nhất: 7
M6_2021:
['0.85%', '5.48%', '12.55%', '4.57%', '5.24%', '5.31%', '45.36%']..., số giá trị độc nhất: 7
M6_2022:
['0.30%', '10.51%', '15.41%', '7.71%', '9.88%', '8.92%', '21.58%']..., số giá trị độc nhất: 7
M6_2023:
['0.58%', '10.84%', '13.33%', '3.40%', '7.93%', '7.88%', '31.55%']..., số giá trị độc nhất: 7
M6_2024:
['0.40%', '11.79%', '13.78%', '2.87%', '8.84%', '8.31%', '29.41%']..., số giá trị độc nhất: 7
M6_TRUNG BÌNH:
['+1.01%', '+14.18%', '+13.07%', '+3.83%', '+10.38%', '+9.26%', '+24.38%']..., số giá trị độc nhất: 7
M6_TRUNG VỊ:
['+0.69%', '+11.76%', '+13.02%', '+3.40%', '+9.88%', '+8.92%', '+22.72%']..., số giá trị độc nhất: 7
M7_2010:
['1.41%', '29.78%', '12.82%', '1.49%', '11.92%', '8.01%', '15.51%']..., số giá trị độc nhất: 7
M7_2011:
['0.74%', '15.34%', '10.11%', '2.46%', '7.71%', '9.75%', '31.65%']..., số giá trị độc nhất: 7
M7_2012:
['0.21%', '14.88%', '12.79%', '2.02%', '9.83%', '6.56%', '33.30%']..., số giá trị độc nhất: 7
M7_2013:
['1.01%', '7.62%', '11.40%', '3.02%', '10.45%', '12.59%', '12.69%']..., số giá trị độc nhất: 7
M7_2014:
['1.66%', '11.34%', '12.16%', '7.00%', '11.04%', '8.37%', '15.40%']..., số giá trị độc nhất: 7
M7_2015:
['1.93%', '12.50%', '10.44%', '4.27%', '13.24%', '11.47%', '26.55%']..., số giá trị độc nhất: 7
M7_2016:
['2.30%', '12.80%', '24.18%', '2.42%', '15.52%', '13.69%', '10.59%']..., số giá trị độc nhất: 7
M7_2017:
['2.15%', '16.89%', '16.43%', '1.39%', '11.49%', '11.41%', '16.78%']..., số giá trị độc nhất: 7
M7_2018:
['0.89%', '8.07%', '11.64%', '2.66%', '7.98%', '13.34%', '32.58%']..., số giá trị độc nhất: 7
M7_2019:
['0.33%', '18.33%', '12.55%', '3.89%', '12.31%', '8.72%', '18.35%']..., số giá trị độc nhất: 7
M7_2020:
['0.76%', '8.77%', '18.27%', '1.89%', '9.51%', '14.05%', '21.09%']..., số giá trị độc nhất: 7
M7_2021:
['0.71%', '5.18%', '14.34%', '3.09%', '5.85%', '5.26%', '44.66%']..., số giá trị độc nhất: 7
M7_2022:
['0.39%', '9.80%', '13.46%', '4.47%', '8.16%', '9.94%', '29.44%']..., số giá trị độc nhất: 7
M7_2023:
['0.54%', '11.23%', '12.48%', '2.85%', '8.25%', '8.59%', '30.24%']..., số giá trị độc nhất: 7
M7_2024:
['0.64%', '10.01%', '13.36%', '2.48%', '10.97%', '8.02%', '29.19%']..., số giá trị độc nhất: 7
M7_TRUNG BÌNH:
['+1.04%', '+12.84%', '+13.76%', '+3.03%', '+10.28%', '+9.99%', '+24.53%']..., số giá trị độc nhất: 7
M7_TRUNG VỊ:
['+0.76%', '+11.34%', '+12.79%', '+2.66%', '+10.45%', '+9.75%', '+26.55%']..., số giá trị độc nhất: 7
M8_2010:
['1.64%', '28.80%', '12.10%', '1.88%', '10.85%', '9.42%', '14.35%']..., số giá trị độc nhất: 7
M8_2011:
['0.79%', '17.36%', '9.15%', '1.91%', '7.44%', '7.08%', '35.93%']..., số giá trị độc nhất: 7
M8_2012:
['0.39%', '10.79%', '14.60%', '2.64%', '7.96%', '7.79%', '34.75%']..., số giá trị độc nhất: 7
M8_2013:
['2.75%', '8.57%', '13.99%', '3.80%', '9.66%', '15.07%', '15.57%']..., số giá trị độc nhất: 7
M8_2014:
['1.51%', '12.04%', '9.75%', '8.42%', '12.12%', '10.14%', '13.19%']..., số giá trị độc nhất: 7
M8_2015:
['2.25%', '13.20%', '10.85%', '3.67%', '11.45%', '13.30%', '23.62%']..., số giá trị độc nhất: 7
M8_2016:
['1.73%', '14.33%', '20.77%', '3.00%', '13.03%', '20.71%', '7.10%']..., số giá trị độc nhất: 7
M8_2017:
['2.69%', '16.39%', '13.68%', '2.33%', '11.99%', '10.55%', '17.45%']..., số giá trị độc nhất: 7
M8_2018:
['0.93%', '9.87%', '9.74%', '5.39%', '10.07%', '12.23%', '30.23%']..., số giá trị độc nhất: 7
M8_2019:
['0.46%', '20.93%', '10.89%', '3.51%', '11.15%', '7.70%', '16.62%']..., số giá trị độc nhất: 7
M8_2020:
['1.02%', '8.28%', '18.12%', '2.50%', '10.00%', '12.92%', '21.66%']..., số giá trị độc nhất: 7
M8_2021:
['1.44%', '8.12%', '15.14%', '2.76%', '6.65%', '5.92%', '34.78%']..., số giá trị độc nhất: 7
M8_2022:
['0.41%', '9.54%', '14.85%', '4.67%', '8.92%', '9.51%', '27.57%']..., số giá trị độc nhất: 7
M8_2023:
['0.40%', '10.70%', '10.59%', '2.46%', '7.62%', '6.95%', '30.22%']..., số giá trị độc nhất: 7
M8_2024:
['0.36%', '7.63%', '12.31%', '2.73%', '10.00%', '9.16%', '31.48%']..., số giá trị độc nhất: 7
M8_TRUNG BÌNH:
['+1.25%', '+13.10%', '+3.44%', '+9.93%', '+10.56%', '+23.63%']..., số giá trị độc nhất: 6
M8_TRUNG VỊ:
['+1.02%', '+10.79%', '+12.31%', '+2.76%', '+10.00%', '+9.51%', '+23.62%']..., số giá trị độc nhất: 7
M9_2010:
['0.94%', '27.23%', '14.39%', '2.05%', '9.76%', '7.29%', '18.04%']..., số giá trị độc nhất: 7
M9_2011:
['0.56%', '17.51%', '10.73%', '1.72%', '7.89%', '8.59%', '28.63%']..., số giá trị độc nhất: 7
M9_2012:
['0.38%', '9.94%', '15.56%', '3.25%', '6.24%', '11.24%', '33.63%']..., số giá trị độc nhất: 7
M9_2013:
['2.38%', '11.64%', '11.78%', '3.18%', '10.87%', '8.55%', '19.00%']..., số giá trị độc nhất: 7
M9_2014:
['1.80%', '13.69%', '8.46%', '10.13%', '11.08%', '9.36%', '15.31%']..., số giá trị độc nhất: 7
M9_2015:
['1.66%', '12.94%', '11.62%', '4.03%', '11.86%', '11.22%', '21.87%']..., số giá trị độc nhất: 7
M9_2016:
['1.78%', '13.78%', '19.11%', '3.66%', '11.49%', '22.17%', '9.45%']..., số giá trị độc nhất: 7
M9_2017:
['2.66%', '21.34%', '15.03%', '2.20%', '11.90%', '8.80%', '15.01%']..., số giá trị độc nhất: 7
M9_2018:
['0.98%', '10.48%', '11.94%', '5.92%', '10.71%', '11.80%', '28.15%']..., số giá trị độc nhất: 7
M9_2019:
['0.65%', '23.15%', '8.94%', '3.16%', '9.19%', '8.39%', '19.71%']..., số giá trị độc nhất: 7
M9_2020:
['0.75%', '7.85%', '16.93%', '2.57%', '10.63%', '12.37%', '24.83%']..., số giá trị độc nhất: 7
M9_2021:
['1.36%', '10.94%', '18.76%', '3.17%', '7.83%', '6.81%', '25.09%']..., số giá trị độc nhất: 7
M9_2022:
['0.27%', '11.18%', '16.17%', '5.16%', '9.01%', '10.42%', '22.82%']..., số giá trị độc nhất: 7
M9_2023:
['0.25%', '11.46%', '12.00%', '2.99%', '8.09%', '6.02%', '32.18%']..., số giá trị độc nhất: 7
M9_2024:
['0.45%', '6.49%', '12.69%', '2.49%', '7.76%', '7.60%', '37.79%']..., số giá trị độc nhất: 7
M9_TRUNG BÌNH:
['+1.13%', '+13.97%', '+13.61%', '+3.71%', '+9.62%', '+10.04%', '+23.43%']..., số giá trị độc nhất: 7
M9_TRUNG VỊ:
['+0.94%', '+11.64%', '+12.69%', '+3.17%', '+9.76%', '+8.80%', '+22.82%']..., số giá trị độc nhất: 7
Q1_2010:
['0.83%', '23.08%', '12.89%', '1.36%', '9.19%', '10.53%', '20.57%']..., số giá trị độc nhất: 7
Q1_2011:
['0.59%', '19.22%', '11.63%', '2.99%', '9.38%', '7.71%', '26.42%']..., số giá trị độc nhất: 7
Q1_2012:
['0.35%', '14.07%', '10.07%', '3.00%', '6.60%', '7.30%', '41.92%']..., số giá trị độc nhất: 7
Q1_2013:
['0.27%', '14.26%', '13.05%', '2.68%', '8.72%', '7.26%', '28.83%']..., số giá trị độc nhất: 7
Q1_2014:
['1.20%', '14.50%', '9.90%', '4.56%', '10.02%', '9.60%', '21.87%']..., số giá trị độc nhất: 7
Q1_2015:
['2.28%', '13.02%', '9.55%', '7.39%', '15.60%', '9.47%', '18.43%']..., số giá trị độc nhất: 7
Q1_2016:
['1.35%', '11.19%', '13.82%', '3.54%', '15.91%', '17.35%', '13.14%']..., số giá trị độc nhất: 7
Q1_2017:
['1.42%', '26.77%', '15.46%', '1.96%', '7.67%', '13.39%', '11.58%']..., số giá trị độc nhất: 7
Q1_2018:
['1.09%', '12.57%', '10.52%', '4.26%', '7.01%', '9.12%', '32.58%']..., số giá trị độc nhất: 7
Q1_2019:
['1.06%', '15.78%', '11.70%', '3.68%', '10.65%', '10.23%', '23.00%']..., số giá trị độc nhất: 7
Q1_2020:
['1.10%', '8.64%', '10.68%', '3.00%', '9.90%', '9.47%', '33.70%']..., số giá trị độc nhất: 7
Q1_2021:
['0.72%', '8.74%', '12.85%', '4.13%', '6.86%', '8.22%', '32.91%']..., số giá trị độc nhất: 7
Q1_2022:
['0.61%', '12.43%', '14.45%', '3.76%', '9.78%', '6.60%', '24.46%']..., số giá trị độc nhất: 7
Q1_2023:
['0.32%', '9.31%', '15.05%', '4.18%', '6.64%', '7.47%', '35.40%']..., số giá trị độc nhất: 7
Q1_2024:
['0.22%', '9.46%', '11.64%', '2.48%', '7.91%', '7.64%', '37.15%']..., số giá trị độc nhất: 7
Q1_2025:
['0.53%', '10.73%', '12.36%', '1.76%', '7.68%', '7.33%', '37.13%']..., số giá trị độc nhất: 7
Q1_TRUNG BÌNH:
['+0.89%', '+14.20%', '+12.22%', '+3.53%', '+9.46%', '+9.42%', '+26.80%']..., số giá trị độc nhất: 7
Q1_TRUNG VỊ:
['+0.83%', '+13.02%', '+11.70%', '+3.54%', '+9.19%', '+9.12%', '+26.42%']..., số giá trị độc nhất: 7
Q2_2010:
['0.79%', '29.57%', '13.41%', '2.12%', '11.37%', '8.11%', '13.62%']..., số giá trị độc nhất: 7
Q2_2011:
['0.61%', '18.03%', '9.13%', '2.65%', '8.69%', '11.56%', '27.81%']..., số giá trị độc nhất: 7
Q2_2012:
['0.17%', '15.06%', '12.70%', '2.96%', '8.16%', '8.75%', '30.06%']..., số giá trị độc nhất: 7
Q2_2013:
['0.34%', '11.48%', '12.78%', '4.66%', '10.90%', '8.90%', '21.02%']..., số giá trị độc nhất: 7
Q2_2014:
['1.63%', '12.61%', '10.81%', '5.48%', '8.62%', '8.54%', '24.05%']..., số giá trị độc nhất: 7
Q2_2015:
['3.29%', '15.24%', '9.68%', '6.16%', '16.18%', '8.39%', '17.36%']..., số giá trị độc nhất: 7
Q2_2016:
['1.31%', '11.19%', '19.73%', '3.95%', '17.06%', '15.85%', '11.23%']..., số giá trị độc nhất: 7
Q2_2017:
['1.49%', '27.33%', '13.31%', '1.37%', '9.66%', '10.70%', '14.96%']..., số giá trị độc nhất: 7
Q2_2018:
['0.67%', '9.57%', '10.23%', '2.35%', '6.86%', '10.81%', '32.88%']..., số giá trị độc nhất: 7
Q2_2019:
['0.40%', '20.01%', '11.24%', '6.01%', '10.16%', '9.29%', '17.07%']..., số giá trị độc nhất: 7
Q2_2020:
['0.81%', '9.62%', '14.37%', '3.33%', '10.42%', '11.79%', '24.09%']..., số giá trị độc nhất: 7
Q2_2021:
['0.64%', '6.13%', '13.28%', '3.38%', '5.76%', '5.78%', '43.78%']..., số giá trị độc nhất: 7
Q2_2022:
['0.46%', '10.89%', '15.68%', '4.73%', '10.47%', '8.05%', '23.60%']..., số giá trị độc nhất: 7
Q2_2023:
['0.55%', '10.62%', '12.29%', '3.53%', '7.30%', '7.47%', '32.21%']..., số giá trị độc nhất: 7
Q2_2024:
['0.31%', '10.19%', '12.08%', '3.43%', '9.04%', '8.32%', '31.47%']..., số giá trị độc nhất: 7
Q2_TRUNG BÌNH:
['+0.90%', '+14.50%', '+12.72%', '+3.74%', '+10.04%', '+9.49%', '+24.35%']..., số giá trị độc nhất: 7
Q2_TRUNG VỊ:
['+0.64%', '+11.48%', '+12.70%', '+3.43%', '+9.66%', '+8.75%', '+24.05%']..., số giá trị độc nhất: 7
Q3_2010:
['1.33%', '28.67%', '13.11%', '1.78%', '10.91%', '8.20%', '15.98%']..., số giá trị độc nhất: 7
Q3_2011:
['0.66%', '17.07%', '10.13%', '1.92%', '7.72%', '8.34%', '31.44%']..., số giá trị độc nhất: 7
Q3_2012:
['0.32%', '12.03%', '14.19%', '2.57%', '8.20%', '8.22%', '33.96%']..., số giá trị độc nhất: 7
Q3_2013:
['1.99%', '9.09%', '12.39%', '3.33%', '10.30%', '12.29%', '15.47%']..., số giá trị độc nhất: 7
Q3_2014:
['1.67%', '12.56%', '9.82%', '8.79%', '11.39%', '9.35%', '14.67%']..., số giá trị độc nhất: 7
Q3_2015:
['1.97%', '12.83%', '10.85%', '4.01%', '12.32%', '12.02%', '24.48%']..., số giá trị độc nhất: 7
Q3_2016:
['1.94%', '13.62%', '21.44%', '3.01%', '13.42%', '18.70%', '9.08%']..., số giá trị độc nhất: 7
Q3_2017:
['2.50%', '18.05%', '15.01%', '1.98%', '11.80%', '10.31%', '16.49%']..., số giá trị độc nhất: 7
Q3_2018:
['0.94%', '9.53%', '11.05%', '4.75%', '9.66%', '12.42%', '30.24%']..., số giá trị độc nhất: 7
Q3_2019:
['0.47%', '20.68%', '10.89%', '3.54%', '10.98%', '8.27%', '18.15%']..., số giá trị độc nhất: 7
Q3_2020:
['0.84%', '8.25%', '17.69%', '2.35%', '10.11%', '13.03%', '22.75%']..., số giá trị độc nhất: 7
Q3_2021:
['1.19%', '8.08%', '16.02%', '2.99%', '6.77%', '5.99%', '34.83%']..., số giá trị độc nhất: 7
Q3_2022:
['0.36%', '10.11%', '14.86%', '4.76%', '8.73%', '9.90%', '26.67%']..., số giá trị độc nhất: 7
Q3_2023:
['0.39%', '11.10%', '11.60%', '2.75%', '7.95%', '7.11%', '30.87%']..., số giá trị độc nhất: 7
Q3_2024:
['0.49%', '8.22%', '12.81%', '2.57%', '9.76%', '8.30%', '32.34%']..., số giá trị độc nhất: 7
Q3_TRUNG BÌNH:
['+1.14%', '+13.33%', '+13.46%', '+3.41%', '+10.00%', '+10.16%', '+23.83%']..., số giá trị độc nhất: 7
Q3_TRUNG VỊ:
['+0.94%', '+12.03%', '+12.81%', '+2.99%', '+10.11%', '+9.35%', '+24.48%']..., số giá trị độc nhất: 7
Q4_2010:
['0.59%', '22.75%', '12.14%', '2.60%', '9.06%', '7.25%', '23.07%']..., số giá trị độc nhất: 7
Q4_2011:
['0.67%', '15.06%', '9.64%', '1.66%', '7.79%', '9.22%', '32.93%']..., số giá trị độc nhất: 7
Q4_2012:
['0.33%', '12.03%', '14.30%', '2.61%', '7.46%', '9.99%', '32.24%']..., số giá trị độc nhất: 7
Q4_2013:
['1.77%', '16.14%', '10.56%', '3.08%', '11.45%', '9.02%', '14.02%']..., số giá trị độc nhất: 7
Q4_2014:
['2.80%', '12.17%', '10.44%', '7.26%', '13.73%', '11.42%', '14.54%']..., số giá trị độc nhất: 7
Q4_2015:
['1.52%', '12.19%', '12.45%', '3.04%', '15.79%', '17.04%', '13.59%']..., số giá trị độc nhất: 7
Q4_2016:
['1.28%', '20.05%', '18.92%', '2.58%', '10.87%', '18.19%', '7.57%']..., số giá trị độc nhất: 7
Q4_2017:
['2.02%', '17.46%', '12.70%', '3.48%', '9.50%', '11.00%', '18.67%']..., số giá trị độc nhất: 7
Q4_2018:
['0.71%', '13.15%', '11.98%', '5.14%', '9.38%', '12.54%', '27.14%']..., số giá trị độc nhất: 7
Q4_2019:
['0.86%', '25.44%', '9.01%', '2.04%', '8.62%', '9.29%', '17.66%']..., số giá trị độc nhất: 7
Q4_2020:
['0.59%', '8.01%', '16.40%', '2.58%', '7.67%', '10.14%', '29.80%']..., số giá trị độc nhất: 7
Q4_2021:
['0.93%', '11.39%', '14.76%', '2.62%', '8.42%', '7.10%', '26.79%']..., số giá trị độc nhất: 7
Q4_2022:
['0.23%', '6.91%', '14.43%', '3.77%', '7.43%', '7.88%', '33.43%']..., số giá trị độc nhất: 7
Q4_2023:
['0.26%', '10.42%', '11.95%', '3.35%', '7.79%', '7.09%', '32.93%']..., số giá trị độc nhất: 7
Q4_2024:
['0.51%', '8.33%', '11.65%', '1.97%', '8.26%', '7.93%', '34.92%']..., số giá trị độc nhất: 7
Q4_TRUNG BÌNH:
['+1.01%', '+14.10%', '+12.76%', '+3.19%', '+9.55%', '+10.34%', '+23.95%']..., số giá trị độc nhất: 7
Q4_TRUNG VỊ:
['+0.71%', '+12.19%', '+12.14%', '+2.62%', '+8.62%', '+9.29%', '+26.79%']..., số giá trị độc nhất: 7
W10_2010:
['0.91%', '22.42%', '13.75%', '1.70%', '7.28%', '10.32%', '23.59%']..., số giá trị độc nhất: 7
W10_2011:
['0.65%', '20.24%', '10.42%', '2.48%', '8.99%', '6.29%', '26.15%']..., số giá trị độc nhất: 7
W10_2012:
['0.36%', '13.56%', '10.67%', '2.85%', '5.33%', '6.63%', '45.04%']..., số giá trị độc nhất: 7
W10_2013:
['0.10%', '15.43%', '14.16%', '2.17%', '9.02%', '6.66%', '28.26%']..., số giá trị độc nhất: 7
W10_2014:
['1.27%', '15.91%', '8.93%', '3.40%', '9.79%', '10.08%', '21.79%']..., số giá trị độc nhất: 7
W10_2015:
['0.99%', '20.26%', '7.06%', '13.61%', '19.89%', '6.00%', '13.41%']..., số giá trị độc nhất: 7
W10_2016:
['1.17%', '10.63%', '12.80%', '3.18%', '18.38%', '18.35%', '13.86%']..., số giá trị độc nhất: 7
W10_2017:
['2.00%', '34.84%', '12.77%', '1.51%', '8.26%', '8.48%', '7.96%']..., số giá trị độc nhất: 7
W10_2018:
['0.73%', '11.69%', '11.96%', '3.49%', '7.17%', '9.47%', '31.42%']..., số giá trị độc nhất: 7
W10_2019:
['1.31%', '16.29%', '12.14%', '4.18%', '12.68%', '9.47%', '18.70%']..., số giá trị độc nhất: 7
W10_2020:
['0.98%', '7.87%', '7.89%', '2.61%', '8.27%', '7.42%', '42.41%']..., số giá trị độc nhất: 7
W10_2021:
['0.33%', '8.35%', '15.11%', '6.27%', '7.80%', '7.16%', '31.87%']..., số giá trị độc nhất: 7
W10_2022:
['0.69%', '10.67%', '19.76%', '4.48%', '10.02%', '5.80%', '25.23%']..., số giá trị độc nhất: 7
W10_2023:
['0.31%', '9.31%', '17.38%', '4.59%', '5.88%', '7.63%', '34.81%']..., số giá trị độc nhất: 7
W10_2024:
['0.22%', '8.67%', '11.77%', '2.40%', '8.50%', '8.43%', '36.22%']..., số giá trị độc nhất: 7
W10_2025:
['0.34%', '8.69%', '12.08%', '1.43%', '7.59%', '6.75%', '42.33%']..., số giá trị độc nhất: 7
W10_TRUNG BÌNH:
['+0.77%', '+14.68%', '+12.42%', '+3.77%', '+9.68%', '+8.43%', '+27.69%']..., số giá trị độc nhất: 7
W10_TRUNG VỊ:
['+0.71%', '+12.62%', '+12.11%', '+3.02%', '+8.39%', '+7.53%', '+27.21%']..., số giá trị độc nhất: 7
W11_2010:
['0.48%', '24.23%', '13.56%', '1.59%', '9.50%', '12.09%', '17.26%']..., số giá trị độc nhất: 7
W11_2011:
['0.91%', '20.11%', '12.19%', '2.92%', '7.34%', '8.12%', '26.03%']..., số giá trị độc nhất: 7
W11_2012:
['0.22%', '13.46%', '9.55%', '2.79%', '5.86%', '5.89%', '46.74%']..., số giá trị độc nhất: 7
W11_2013:
['0.19%', '17.13%', '14.27%', '5.18%', '8.65%', '5.06%', '28.89%']..., số giá trị độc nhất: 7
W11_2014:
['1.68%', '14.90%', '10.23%', '3.78%', '9.47%', '10.83%', '21.51%']..., số giá trị độc nhất: 7
W11_2015:
['1.87%', '14.49%', '7.47%', '12.19%', '14.39%', '6.05%', '16.13%']..., số giá trị độc nhất: 7
W11_2016:
['1.44%', '12.78%', '16.02%', '5.30%', '14.99%', '17.94%', '10.11%']..., số giá trị độc nhất: 7
W11_2017:
['1.06%', '33.04%', '12.01%', '1.36%', '7.85%', '13.41%', '10.31%']..., số giá trị độc nhất: 7
W11_2018:
['0.64%', '11.29%', '7.95%', '2.65%', '5.69%', '11.41%', '35.01%']..., số giá trị độc nhất: 7
W11_2019:
['1.18%', '15.91%', '11.55%', '3.00%', '11.13%', '8.59%', '22.48%']..., số giá trị độc nhất: 7
W11_2020:
['0.91%', '7.20%', '10.72%', '3.10%', '9.38%', '10.60%', '34.87%']..., số giá trị độc nhất: 7
W11_2021:
['0.41%', '9.56%', '12.82%', '5.03%', '7.20%', '8.31%', '31.98%']..., số giá trị độc nhất: 7
W11_2022:
['0.58%', '12.22%', '20.21%', '5.69%', '10.85%', '7.03%', '19.91%']..., số giá trị độc nhất: 7
W11_2023:
['0.33%', '7.90%', '15.77%', '3.87%', '5.50%', '7.56%', '38.75%']..., số giá trị độc nhất: 7
W11_2024:
['0.19%', '9.61%', '12.15%', '2.87%', '8.65%', '9.01%', '33.46%']..., số giá trị độc nhất: 7
W11_2025:
['0.33%', '9.40%', '10.78%', '1.33%', '6.75%', '6.62%', '41.48%']..., số giá trị độc nhất: 7
W11_TRUNG BÌNH:
['+0.81%', '+14.92%', '+12.43%', '+4.09%', '+9.10%', '+9.46%', '+26.23%']..., số giá trị độc nhất: 7
W11_TRUNG VỊ:
['+0.64%', '+13.46%', '+12.15%', '+3.10%', '+8.65%', '+8.59%', '+26.03%']..., số giá trị độc nhất: 7
W12_2010:
['0.95%', '21.89%', '12.48%', '1.09%', '9.95%', '9.20%', '19.02%']..., số giá trị độc nhất: 7
W12_2011:
['0.53%', '20.82%', '9.34%', '2.67%', '8.67%', '7.76%', '32.80%']..., số giá trị độc nhất: 7
W12_2012:
['0.26%', '16.45%', '10.00%', '3.50%', '5.89%', '6.34%', '41.62%']..., số giá trị độc nhất: 7
W12_2013:
['1.24%', '11.77%', '15.19%', '3.37%', '10.38%', '9.84%', '23.48%']..., số giá trị độc nhất: 7
W12_2014:
['0.91%', '15.12%', '9.97%', '5.75%', '8.22%', '11.52%', '23.87%']..., số giá trị độc nhất: 7
W12_2015:
['3.14%', '9.85%', '10.35%', '6.22%', '13.61%', '13.06%', '13.73%']..., số giá trị độc nhất: 7
W12_2016:
['1.28%', '10.86%', '15.44%', '3.60%', '14.46%', '18.09%', '12.90%']..., số giá trị độc nhất: 7
W12_2017:
['1.21%', '25.74%', '10.87%', '1.32%', '6.09%', '16.46%', '15.24%']..., số giá trị độc nhất: 7
W12_2018:
['1.46%', '10.72%', '7.94%', '4.14%', '5.98%', '8.80%', '37.16%']..., số giá trị độc nhất: 7
W12_2019:
['0.71%', '15.78%', '11.73%', '3.72%', '10.95%', '8.40%', '23.07%']..., số giá trị độc nhất: 7
W12_2020:
['1.00%', '8.43%', '10.74%', '3.16%', '11.35%', '12.20%', '28.50%']..., số giá trị độc nhất: 7
W12_2021:
['0.56%', '9.33%', '10.60%', '4.13%', '7.41%', '7.85%', '35.14%']..., số giá trị độc nhất: 7
W12_2022:
['0.56%', '14.97%', '18.88%', '4.36%', '9.47%', '7.16%', '18.70%']..., số giá trị độc nhất: 7
W12_2023:
['0.41%', '8.44%', '12.71%', '3.46%', '5.89%', '7.24%', '40.40%']..., số giá trị độc nhất: 7
W12_2024:
['0.23%', '9.33%', '11.53%', '2.36%', '8.08%', '6.70%', '34.05%']..., số giá trị độc nhất: 7
W12_TRUNG BÌNH:
['+0.96%', '+13.97%', '+11.85%', '+3.52%', '+9.09%', '+10.04%', '+26.65%']..., số giá trị độc nhất: 7
W12_TRUNG VỊ:
['+0.91%', '+11.77%', '+10.87%', '+3.50%', '+8.67%', '+8.80%', '+23.87%']..., số giá trị độc nhất: 7
W13_2010:
['0.61%', '23.21%', '12.80%', '0.83%', '13.31%', '8.99%', '19.93%']..., số giá trị độc nhất: 7
W13_2011:
['0.74%', '22.10%', '11.29%', '2.22%', '9.61%', '8.46%', '27.35%']..., số giá trị độc nhất: 7
W13_2012:
['0.35%', '15.95%', '10.41%', '2.93%', '6.94%', '5.65%', '37.95%']..., số giá trị độc nhất: 7
W13_2013:
['0.85%', '14.05%', '13.75%', '2.95%', '8.90%', '10.58%', '22.38%']..., số giá trị độc nhất: 7
W13_2014:
['1.10%', '13.79%', '10.89%', '5.33%', '8.74%', '8.00%', '22.60%']..., số giá trị độc nhất: 7
W13_2015:
['3.95%', '10.00%', '9.38%', '6.56%', '17.03%', '9.98%', '16.25%']..., số giá trị độc nhất: 7
W13_2016:
['1.18%', '10.36%', '18.37%', '2.74%', '16.09%', '18.27%', '11.35%']..., số giá trị độc nhất: 7
W13_2017:
['1.83%', '26.59%', '13.69%', '1.56%', '7.39%', '12.85%', '14.16%']..., số giá trị độc nhất: 7
W13_2018:
['1.70%', '12.75%', '9.93%', '4.86%', '6.09%', '10.84%', '29.11%']..., số giá trị độc nhất: 7
W13_2019:
['0.61%', '17.73%', '11.68%', '3.88%', '9.57%', '10.78%', '19.82%']..., số giá trị độc nhất: 7
W13_2020:
['0.94%', '7.60%', '11.38%', '2.71%', '9.80%', '14.30%', '28.99%']..., số giá trị độc nhất: 7
W13_2021:
['0.56%', '8.94%', '12.56%', '3.78%', '6.80%', '7.16%', '34.00%']..., số giá trị độc nhất: 7
W13_2022:
['0.56%', '14.88%', '18.02%', '2.77%', '9.95%', '7.24%', '16.54%']..., số giá trị độc nhất: 7
W13_2023:
['0.30%', '9.15%', '13.69%', '2.22%', '6.53%', '5.80%', '42.06%']..., số giá trị độc nhất: 7
W13_2024:
['0.20%', '8.36%', '9.95%', '2.71%', '8.42%', '7.84%', '35.99%']..., số giá trị độc nhất: 7
W13_TRUNG BÌNH:
['+1.03%', '+14.37%', '+12.52%', '+3.20%', '+9.68%', '+9.78%', '+25.23%']..., số giá trị độc nhất: 7
W13_TRUNG VỊ:
['+0.74%', '+13.79%', '+11.68%', '+2.77%', '+8.90%', '+8.99%', '+22.60%']..., số giá trị độc nhất: 7
W14_2010:
['0.57%', '24.51%', '14.58%', '0.90%', '14.26%', '10.30%', '15.25%']..., số giá trị độc nhất: 7
W14_2011:
['0.79%', '19.95%', '11.53%', '1.60%', '9.32%', '9.08%', '27.20%']..., số giá trị độc nhất: 7
W14_2012:
['0.38%', '14.76%', '8.57%', '2.88%', '6.61%', '7.01%', '41.81%']..., số giá trị độc nhất: 7
W14_2013:
['0.39%', '11.80%', '14.32%', '2.69%', '12.82%', '8.81%', '24.42%']..., số giá trị độc nhất: 7
W14_2014:
['1.15%', '12.96%', '10.37%', '4.58%', '7.90%', '7.99%', '24.57%']..., số giá trị độc nhất: 7
W14_2015:
['4.35%', '11.17%', '10.87%', '5.86%', '16.57%', '9.22%', '13.59%']..., số giá trị độc nhất: 7
W14_2016:
['1.53%', '12.62%', '19.67%', '1.68%', '16.92%', '16.07%', '10.06%']..., số giá trị độc nhất: 7
W14_2017:
['1.18%', '29.28%', '14.09%', '2.15%', '7.94%', '9.16%', '15.73%']..., số giá trị độc nhất: 7
W14_2018:
['0.86%', '13.23%', '8.30%', '2.26%', '5.88%', '10.15%', '32.85%']..., số giá trị độc nhất: 7
W14_2019:
['0.54%', '20.13%', '11.18%', '6.28%', '9.64%', '9.58%', '16.13%']..., số giá trị độc nhất: 7
W14_2020:
['0.70%', '9.04%', '11.00%', '2.92%', '10.78%', '12.21%', '29.30%']..., số giá trị độc nhất: 7
W14_2021:
['0.49%', '7.79%', '10.95%', '3.59%', '7.13%', '6.76%', '40.06%']..., số giá trị độc nhất: 7
W14_2022:
['0.71%', '12.65%', '17.28%', '3.13%', '11.21%', '8.55%', '18.31%']..., số giá trị độc nhất: 7
W14_2023:
['0.31%', '10.31%', '12.01%', '3.04%', '6.14%', '5.55%', '37.06%']..., số giá trị độc nhất: 7
W14_2024:
['0.16%', '9.11%', '10.46%', '4.64%', '8.03%', '7.00%', '33.61%']..., số giá trị độc nhất: 7
W14_TRUNG BÌNH:
['+0.94%', '+14.62%', '+12.35%', '+3.21%', '+10.08%', '+9.16%', '+25.33%']..., số giá trị độc nhất: 7
W14_TRUNG VỊ:
['+0.70%', '+12.65%', '+11.18%', '+2.92%', '+9.32%', '+9.08%', '+24.57%']..., số giá trị độc nhất: 7
W15_2010:
['0.65%', '29.75%', '16.61%', '1.58%', '12.83%', '8.71%', '9.75%']..., số giá trị độc nhất: 7
W15_2011:
['0.69%', '19.39%', '11.20%', '2.24%', '8.41%', '11.89%', '24.49%']..., số giá trị độc nhất: 7
W15_2012:
['0.21%', '15.15%', '10.46%', '2.67%', '6.94%', '6.91%', '35.94%']..., số giá trị độc nhất: 7
W15_2013:
['0.30%', '10.18%', '14.64%', '3.25%', '12.31%', '8.30%', '24.59%']..., số giá trị độc nhất: 7
W15_2014:
['1.17%', '12.43%', '13.52%', '4.89%', '6.30%', '8.93%', '23.66%']..., số giá trị độc nhất: 7
W15_2015:
['4.00%', '15.99%', '10.71%', '4.76%', '16.91%', '9.73%', '15.16%']..., số giá trị độc nhất: 7
W15_2016:
['1.79%', '12.28%', '20.53%', '2.23%', '17.29%', '16.67%', '10.64%']..., số giá trị độc nhất: 7
W15_2017:
['0.99%', '32.34%', '12.80%', '1.37%', '7.02%', '8.71%', '13.87%']..., số giá trị độc nhất: 7
W15_2018:
['0.81%', '10.98%', '7.96%', '2.09%', '5.57%', '9.30%', '38.22%']..., số giá trị độc nhất: 7
W15_2019:
['0.60%', '20.90%', '12.10%', '7.49%', '10.47%', '8.93%', '15.78%']..., số giá trị độc nhất: 7
W15_2020:
['0.94%', '10.68%', '9.18%', '4.37%', '11.73%', '10.73%', '28.19%']..., số giá trị độc nhất: 7
W15_2021:
['0.47%', '8.24%', '10.03%', '3.94%', '7.63%', '6.72%', '38.81%']..., số giá trị độc nhất: 7
W15_2022:
['0.68%', '11.75%', '13.98%', '1.97%', '12.00%', '7.25%', '25.07%']..., số giá trị độc nhất: 7
W15_2023:
['0.35%', '9.30%', '10.16%', '3.72%', '6.96%', '6.67%', '34.01%']..., số giá trị độc nhất: 7
W15_2024:
['0.26%', '7.99%', '8.99%', '3.97%', '8.40%', '7.63%', '34.55%']..., số giá trị độc nhất: 7
W15_TRUNG BÌNH:
['+0.93%', '+15.16%', '+12.19%', '+3.37%', '+10.05%', '+9.14%', '+24.85%']..., số giá trị độc nhất: 7
W15_TRUNG VỊ:
['+0.68%', '+12.28%', '+11.20%', '+3.25%', '+8.41%', '+8.71%', '+24.59%']..., số giá trị độc nhất: 7
W16_2010:
['1.14%', '31.44%', '12.78%', '1.95%', '12.34%', '8.39%', '10.81%']..., số giá trị độc nhất: 7
W16_2011:
['0.71%', '18.82%', '10.69%', '3.90%', '9.24%', '9.62%', '26.68%']..., số giá trị độc nhất: 7
W16_2012:
['0.17%', '15.27%', '12.38%', '3.54%', '7.68%', '7.90%', '30.16%']..., số giá trị độc nhất: 7
W16_2013:
['0.32%', '10.19%', '15.90%', '2.78%', '9.77%', '11.08%', '23.16%']..., số giá trị độc nhất: 7
W16_2014:
['1.22%', '15.23%', '10.13%', '8.41%', '8.26%', '7.13%', '26.10%']..., số giá trị độc nhất: 7
W16_2015:
['3.42%', '13.38%', '12.37%', '9.72%', '15.97%', '7.25%', '15.75%']..., số giá trị độc nhất: 7
W16_2016:
['1.86%', '13.70%', '19.31%', '2.78%', '15.18%', '15.74%', '11.18%']..., số giá trị độc nhất: 7
W16_2017:
['0.58%', '36.80%', '11.62%', '0.97%', '7.82%', '9.12%', '12.03%']..., số giá trị độc nhất: 7
W16_2018:
['0.70%', '10.14%', '7.75%', '2.09%', '6.03%', '12.12%', '34.33%']..., số giá trị độc nhất: 7
W16_2019:
['0.42%', '20.37%', '12.17%', '5.23%', '9.97%', '9.74%', '16.29%']..., số giá trị độc nhất: 7
W16_2020:
['1.23%', '10.10%', '11.56%', '3.92%', '11.25%', '11.92%', '25.81%']..., số giá trị độc nhất: 7
W16_2021:
['0.63%', '8.16%', '13.09%', '2.71%', '6.75%', '7.51%', '34.38%']..., số giá trị độc nhất: 7
W16_2022:
['0.62%', '10.57%', '15.96%', '2.53%', '11.66%', '7.54%', '24.56%']..., số giá trị độc nhất: 7
W16_2023:
['0.48%', '8.51%', '10.39%', '2.93%', '7.49%', '10.09%', '33.90%']..., số giá trị độc nhất: 7
W16_2024:
['0.21%', '7.88%', '9.83%', '3.82%', '6.86%', '7.39%', '37.65%']..., số giá trị độc nhất: 7
W16_TRUNG BÌNH:
['+0.91%', '+15.37%', '+12.40%', '+3.82%', '+9.75%', '+9.50%', '+24.19%']..., số giá trị độc nhất: 7
W16_TRUNG VỊ:
['+0.63%', '+13.38%', '+12.17%', '+2.93%', '+9.24%', '+9.12%', '+25.81%']..., số giá trị độc nhất: 7
W17_2010:
['0.72%', '31.18%', '12.30%', '2.99%', '11.89%', '7.55%', '10.66%']..., số giá trị độc nhất: 7
W17_2011:
['0.48%', '19.12%', '9.39%', '2.85%', '8.59%', '11.78%', '26.22%']..., số giá trị độc nhất: 7
W17_2012:
['0.20%', '16.54%', '13.22%', '2.84%', '8.58%', '9.13%', '27.03%']..., số giá trị độc nhất: 7
W17_2013:
['0.28%', '13.25%', '15.96%', '3.04%', '9.93%', '9.84%', '20.40%']..., số giá trị độc nhất: 7
W17_2014:
['1.14%', '12.00%', '9.60%', '6.07%', '8.06%', '8.68%', '23.97%']..., số giá trị độc nhất: 7
W17_2015:
['3.96%', '16.45%', '9.96%', '9.77%', '20.53%', '6.89%', '12.49%']..., số giá trị độc nhất: 7
W17_2016:
['1.30%', '11.85%', '20.19%', '3.28%', '13.59%', '17.20%', '11.77%']..., số giá trị độc nhất: 7
W17_2017:
['0.90%', '32.08%', '13.05%', '1.77%', '9.66%', '10.27%', '12.83%']..., số giá trị độc nhất: 7
W17_2018:
['0.54%', '8.58%', '7.43%', '1.97%', '7.08%', '11.91%', '34.21%']..., số giá trị độc nhất: 7
W17_2019:
['0.46%', '20.46%', '11.30%', '5.28%', '9.70%', '10.01%', '16.97%']..., số giá trị độc nhất: 7
W17_2020:
['1.05%', '9.51%', '14.22%', '4.54%', '11.76%', '13.29%', '21.63%']..., số giá trị độc nhất: 7
W17_2021:
['0.32%', '6.97%', '15.28%', '2.33%', '7.17%', '7.64%', '33.16%']..., số giá trị độc nhất: 7
W17_2022:
['0.54%', '11.67%', '16.54%', '3.26%', '12.71%', '8.05%', '22.34%']..., số giá trị độc nhất: 7
W17_2023:
['0.54%', '9.17%', '12.02%', '2.12%', '7.03%', '9.23%', '29.80%']..., số giá trị độc nhất: 7
W17_2024:
['0.25%', '7.55%', '9.69%', '2.89%', '10.15%', '6.84%', '36.83%']..., số giá trị độc nhất: 7
W17_TRUNG BÌNH:
['+0.84%', '+15.09%', '+12.68%', '+3.67%', '+10.43%', '+9.89%', '+22.69%']..., số giá trị độc nhất: 7
W17_TRUNG VỊ:
['+0.54%', '+12.00%', '+12.30%', '+2.99%', '+9.70%', '+9.23%', '+22.34%']..., số giá trị độc nhất: 7
W18_2010:
['0.53%', '25.79%', '13.72%', '2.38%', '12.42%', '8.44%', '11.44%']..., số giá trị độc nhất: 7
W18_2011:
['0.50%', '20.30%', '9.52%', '2.20%', '8.21%', '12.39%', '28.26%']..., số giá trị độc nhất: 7
W18_2012:
['0.11%', '15.51%', '17.79%', '2.54%', '8.70%', '8.98%', '23.70%']..., số giá trị độc nhất: 7
W18_2013:
['0.31%', '12.05%', '16.40%', '4.12%', '8.47%', '12.22%', '21.25%']..., số giá trị độc nhất: 7
W18_2014:
['0.87%', '19.47%', '7.62%', '13.04%', '6.31%', '7.41%', '22.89%']..., số giá trị độc nhất: 7
W18_2015:
['2.97%', '14.45%', '10.54%', '7.25%', '18.08%', '7.97%', '13.75%']..., số giá trị độc nhất: 7
W18_2016:
['0.92%', '10.32%', '17.56%', '2.12%', '13.94%', '19.13%', '13.21%']..., số giá trị độc nhất: 7
W18_2017:
['1.11%', '31.02%', '11.77%', '2.68%', '8.23%', '12.02%', '10.87%']..., số giá trị độc nhất: 7
W18_2018:
['0.58%', '8.24%', '9.07%', '2.47%', '6.16%', '13.02%', '29.23%']..., số giá trị độc nhất: 7
W18_2019:
['0.27%', '18.58%', '12.99%', '6.22%', '8.66%', '10.30%', '17.43%']..., số giá trị độc nhất: 7
W18_2020:
['1.09%', '8.64%', '14.56%', '2.30%', '11.52%', '13.96%', '20.69%']..., số giá trị độc nhất: 7
W18_2021:
['0.42%', '6.87%', '13.70%', '1.99%', '6.23%', '6.70%', '39.74%']..., số giá trị độc nhất: 7
W18_2022:
['0.44%', '10.76%', '16.04%', '2.91%', '10.74%', '7.84%', '23.33%']..., số giá trị độc nhất: 7
W18_2023:
['1.10%', '9.47%', '10.71%', '2.24%', '7.65%', '9.09%', '28.36%']..., số giá trị độc nhất: 7
W18_2024:
['0.20%', '9.40%', '9.74%', '2.51%', '14.76%', '7.50%', '28.44%']..., số giá trị độc nhất: 7
W18_TRUNG BÌNH:
['+0.76%', '+14.72%', '+12.78%', '+3.80%', '+10.00%', '+10.46%', '+22.17%']..., số giá trị độc nhất: 7
W18_TRUNG VỊ:
['+0.53%', '+12.05%', '+12.99%', '+2.51%', '+8.66%', '+9.09%', '+22.89%']..., số giá trị độc nhất: 7
W19_2010:
['0.50%', '28.22%', '13.38%', '2.23%', '11.63%', '8.82%', '13.43%']..., số giá trị độc nhất: 7
W19_2011:
['0.83%', '17.89%', '10.48%', '2.83%', '8.55%', '14.47%', '25.25%']..., số giá trị độc nhất: 7
W19_2012:
['0.12%', '15.55%', '14.69%', '3.56%', '8.74%', '10.91%', '23.75%']..., số giá trị độc nhất: 7
W19_2013:
['0.20%', '14.23%', '11.24%', '2.70%', '8.64%', '21.39%']..., số giá trị độc nhất: 6
W19_2014:
['1.12%', '9.85%', '9.94%', '6.02%', '8.15%', '9.62%', '25.35%']..., số giá trị độc nhất: 7
W19_2015:
['2.96%', '14.53%', '10.41%', '7.11%', '20.45%', '7.86%', '12.45%']..., số giá trị độc nhất: 7
W19_2016:
['0.90%', '9.22%', '24.31%', '1.71%', '16.28%', '16.22%', '12.39%']..., số giá trị độc nhất: 7
W19_2017:
['0.89%', '33.25%', '11.23%', '1.12%', '9.03%', '11.11%', '10.68%']..., số giá trị độc nhất: 7
W19_2018:
['0.58%', '9.62%', '9.75%', '2.44%', '7.60%', '12.42%', '34.66%']..., số giá trị độc nhất: 7
W19_2019:
['0.46%', '18.87%', '10.70%', '7.44%', '8.90%', '8.17%', '21.57%']..., số giá trị độc nhất: 7
W19_2020:
['0.64%', '8.10%', '14.30%', '2.94%', '10.00%', '12.65%', '24.11%']..., số giá trị độc nhất: 7
W19_2021:
['0.41%', '6.07%', '15.02%', '2.13%', '5.53%', '5.99%', '45.75%']..., số giá trị độc nhất: 7
W19_2022:
['0.37%', '12.04%', '17.02%', '3.45%', '10.22%', '7.98%', '21.89%']..., số giá trị độc nhất: 7
W19_2023:
['0.75%', '10.22%', '12.85%', '3.55%', '6.89%', '6.31%', '29.94%']..., số giá trị độc nhất: 7
W19_2024:
['0.28%', '9.85%', '13.52%', '3.93%', '9.26%', '9.63%', '28.94%']..., số giá trị độc nhất: 7
W19_TRUNG BÌNH:
['+0.73%', '+14.50%', '+13.26%', '+3.54%', '+9.99%', '+10.05%', '+23.44%']..., số giá trị độc nhất: 7
W19_TRUNG VỊ:
['+0.58%', '+12.04%', '+12.85%', '+2.94%', '+8.90%', '+9.62%', '+23.75%']..., số giá trị độc nhất: 7
W1_2012:
['0.52%', '12.35%', '9.34%', '2.04%', '10.07%', '11.75%', '35.68%']..., số giá trị độc nhất: 7
W1_2013:
['0.08%', '14.08%', '12.83%', '1.83%', '7.68%', '5.88%', '34.20%']..., số giá trị độc nhất: 7
W1_2014:
['3.43%', '15.29%', '9.00%', '2.69%', '16.65%', '5.67%', '13.97%']..., số giá trị độc nhất: 7
W1_2017:
['0.95%', '22.10%', '18.46%', '2.09%', '7.71%', '15.39%', '13.54%']..., số giá trị độc nhất: 7
W1_2018:
['1.50%', '14.83%', '10.06%', '4.97%', '8.55%', '8.10%', '28.52%']..., số giá trị độc nhất: 7
W1_2019:
['0.64%', '18.82%', '13.55%', '2.99%', '8.78%', '9.02%', '25.13%']..., số giá trị độc nhất: 7
W1_2020:
['1.67%', '18.38%', '10.92%', '3.98%', '11.54%', '8.08%', '18.97%']..., số giá trị độc nhất: 7
W1_2023:
['0.20%', '9.91%', '12.67%', '3.94%', '6.15%', '8.55%', '35.74%']..., số giá trị độc nhất: 7
W1_2024:
['0.27%', '9.60%', '10.75%', '1.73%', '8.86%', '7.71%', '39.89%']..., số giá trị độc nhất: 7
W1_2025:
['0.46%', '10.08%', '11.91%', '1.96%', '8.26%', '7.54%', '35.39%']..., số giá trị độc nhất: 7
W1_TRUNG BÌNH:
['+0.97%', '+14.54%', '+11.95%', '+2.82%', '+9.42%', '+8.77%', '+28.10%']..., số giá trị độc nhất: 7
W1_TRUNG VỊ:
['+0.58%', '+14.46%', '+11.42%', '+2.39%', '+8.66%', '+8.09%', '+31.36%']..., số giá trị độc nhất: 7
W20_2010:
['0.59%', '31.03%', '12.14%', '2.79%', '10.76%', '7.87%', '15.29%']..., số giá trị độc nhất: 7
W20_2011:
['0.62%', '15.29%', '9.29%', '3.77%', '9.07%', '13.43%', '25.61%']..., số giá trị độc nhất: 7
W20_2012:
['0.11%', '14.48%', '12.83%', '4.17%', '7.64%', '9.73%', '30.48%']..., số giá trị độc nhất: 7
W20_2013:
['0.30%', '11.98%', '12.31%', '3.25%', '12.22%', '10.51%', '16.01%']..., số giá trị độc nhất: 7
W20_2014:
['1.27%', '11.77%', '9.69%', '4.65%', '7.53%', '11.86%', '24.71%']..., số giá trị độc nhất: 7
W20_2015:
['4.54%', '16.58%', '10.58%', '5.84%', '16.54%', '11.73%', '12.71%']..., số giá trị độc nhất: 7
W20_2016:
['0.95%', '9.96%', '19.98%', '2.50%', '17.66%', '15.66%', '14.32%']..., số giá trị độc nhất: 7
W20_2017:
['0.96%', '33.70%', '11.45%', '0.78%', '8.99%', '9.79%', '11.85%']..., số giá trị độc nhất: 7
W20_2018:
['0.44%', '8.70%', '10.52%', '3.53%', '7.62%', '13.20%', '30.02%']..., số giá trị độc nhất: 7
W20_2019:
['0.32%', '19.06%', '9.37%', '7.37%', '9.34%', '8.80%', '18.37%']..., số giá trị độc nhất: 7
W20_2020:
['0.64%', '8.27%', '12.71%', '4.20%', '10.57%', '13.02%', '25.73%']..., số giá trị độc nhất: 7
W20_2021:
['0.27%', '5.81%', '15.68%', '2.10%', '5.41%', '6.08%', '47.31%']..., số giá trị độc nhất: 7
W20_2022:
['0.41%', '10.31%', '15.84%', '3.07%', '9.54%', '7.58%', '26.00%']..., số giá trị độc nhất: 7
W20_2023:
['0.58%', '10.45%', '10.67%', '4.77%', '6.41%', '7.03%', '33.25%']..., số giá trị độc nhất: 7
W20_2024:
['0.35%', '9.79%', '12.69%', '3.32%', '10.13%', '10.24%', '31.10%']..., số giá trị độc nhất: 7
W20_TRUNG BÌNH:
['+0.82%', '+14.48%', '+12.38%', '+3.74%', '+9.96%', '+10.44%', '+24.18%']..., số giá trị độc nhất: 7
W20_TRUNG VỊ:
['+0.58%', '+11.77%', '+12.14%', '+3.53%', '+9.34%', '+10.24%', '+25.61%']..., số giá trị độc nhất: 7
W21_2010:
['0.75%', '29.07%', '12.33%', '2.25%', '9.58%', '8.61%', '17.47%']..., số giá trị độc nhất: 7
W21_2011:
['0.53%', '15.30%', '8.69%', '2.82%', '7.73%', '15.27%', '29.38%']..., số giá trị độc nhất: 7
W21_2012:
['0.33%', '12.93%', '13.04%', '3.38%', '7.75%', '10.55%', '27.81%']..., số giá trị độc nhất: 7
W21_2013:
['0.27%', '10.69%', '13.02%', '4.68%', '10.92%', '8.51%', '19.33%']..., số giá trị độc nhất: 7
W21_2014:
['1.68%', '13.86%', '10.84%', '3.09%', '8.34%', '7.98%', '22.25%']..., số giá trị độc nhất: 7
W21_2015:
['4.26%', '14.99%', '9.23%', '5.45%', '16.38%', '9.12%', '13.27%']..., số giá trị độc nhất: 7
W21_2016:
['0.94%', '8.86%', '15.99%', '8.17%', '15.72%', '14.47%', '14.76%']..., số giá trị độc nhất: 7
W21_2017:
['1.82%', '26.00%', '12.78%', '1.32%', '8.02%', '10.41%', '18.74%']..., số giá trị độc nhất: 7
W21_2018:
['0.41%', '8.80%', '11.38%', '3.32%', '7.45%', '10.66%', '27.41%']..., số giá trị độc nhất: 7
W21_2019:
['0.34%', '18.83%', '9.22%', '8.26%', '12.42%', '8.89%', '17.79%']..., số giá trị độc nhất: 7
W21_2020:
['0.66%', '7.81%', '15.82%', '3.38%', '10.59%', '10.73%', '26.99%']..., số giá trị độc nhất: 7
W21_2021:
['0.44%', '5.77%', '14.62%', '1.84%', '5.46%', '4.87%', '48.29%']..., số giá trị độc nhất: 7
W21_2022:
['0.34%', '9.83%', '15.97%', '5.09%', '8.19%', '7.14%', '27.86%']..., số giá trị độc nhất: 7
W21_2023:
['0.52%', '13.35%', '11.36%', '4.85%', '6.20%', '6.34%', '33.23%']..., số giá trị độc nhất: 7
W21_2024:
['0.35%', '10.33%', '12.61%', '3.83%', '8.76%', '8.82%', '31.07%']..., số giá trị độc nhất: 7
W21_TRUNG BÌNH:
['+0.91%', '+13.76%', '+12.46%', '+4.11%', '+9.57%', '+9.49%', '+25.04%']..., số giá trị độc nhất: 7
W21_TRUNG VỊ:
['+0.52%', '+12.93%', '+12.61%', '+3.38%', '+8.34%', '+8.89%', '+26.99%']..., số giá trị độc nhất: 7
W22_2010:
['0.87%', '29.11%', '12.04%', '1.93%', '10.03%', '7.95%', '17.35%']..., số giá trị độc nhất: 7
W22_2011:
['0.71%', '14.33%', '9.38%', '2.82%', '7.32%', '11.80%', '30.87%']..., số giá trị độc nhất: 7
W22_2012:
['0.17%', '12.24%', '13.40%', '2.61%', '9.47%', '9.83%', '28.83%']..., số giá trị độc nhất: 7
W22_2013:
['0.35%', '11.83%', '11.99%', '5.40%', '10.11%', '7.12%', '21.81%']..., số giá trị độc nhất: 7
W22_2014:
['2.02%', '12.90%', '11.01%', '3.69%', '7.59%', '8.00%', '24.69%']..., số giá trị độc nhất: 7
W22_2015:
['1.88%', '15.35%', '9.31%', '3.78%', '16.86%', '9.20%', '19.13%']..., số giá trị độc nhất: 7
W22_2016:
['0.99%', '9.13%', '16.60%', '4.94%', '18.13%', '19.18%', '12.57%']..., số giá trị độc nhất: 7
W22_2017:
['2.02%', '27.59%', '15.14%', '1.06%', '8.28%', '9.88%', '16.01%']..., số giá trị độc nhất: 7
W22_2018:
['0.77%', '7.09%', '12.67%', '2.03%', '6.40%', '9.15%', '32.17%']..., số giá trị độc nhất: 7
W22_2019:
['0.37%', '18.29%', '12.83%', '5.36%', '12.53%', '9.65%', '14.26%']..., số giá trị độc nhất: 7
W22_2020:
['0.58%', '7.79%', '17.54%', '2.61%', '9.53%', '10.62%', '24.28%']..., số giá trị độc nhất: 7
W22_2021:
['0.81%', '5.51%', '12.78%', '2.59%', '5.46%', '4.41%', '49.17%']..., số giá trị độc nhất: 7
W22_2022:
['0.49%', '10.32%', '17.46%', '5.16%', '8.72%', '8.15%', '25.68%']..., số giá trị độc nhất: 7
W22_2023:
['0.61%', '11.66%', '12.31%', '3.73%', '8.10%', '6.61%', '32.18%']..., số giá trị độc nhất: 7
W22_2024:
['0.26%', '11.73%', '11.87%', '3.23%', '10.51%', '9.23%', '28.57%']..., số giá trị độc nhất: 7
W22_TRUNG BÌNH:
['+0.86%', '+13.66%', '+13.09%', '+3.40%', '+9.94%', '+9.38%', '+25.17%']..., số giá trị độc nhất: 7
W22_TRUNG VỊ:
['+0.71%', '+11.83%', '+12.67%', '+3.23%', '+9.47%', '+9.20%', '+24.69%']..., số giá trị độc nhất: 7
W23_2010:
['0.96%', '31.14%', '12.88%', '2.28%', '10.23%', '7.34%', '16.11%']..., số giá trị độc nhất: 7
W23_2011:
['0.38%', '16.33%', '9.28%', '2.75%', '7.76%', '13.65%', '29.26%']..., số giá trị độc nhất: 7
W23_2012:
['0.13%', '14.18%', '13.05%', '2.13%', '8.41%', '8.61%', '31.26%']..., số giá trị độc nhất: 7
W23_2013:
['0.40%', '11.49%', '11.93%', '5.25%', '11.65%', '7.54%', '20.54%']..., số giá trị độc nhất: 7
W23_2014:
['2.71%', '11.72%', '10.67%', '2.80%', '8.60%', '7.72%', '24.43%']..., số giá trị độc nhất: 7
W23_2015:
['2.62%', '19.64%', '8.20%', '6.72%', '14.38%', '7.34%', '21.07%']..., số giá trị độc nhất: 7
W23_2016:
['0.90%', '10.36%', '22.40%', '4.58%', '16.74%', '12.70%', '11.21%']..., số giá trị độc nhất: 7
W23_2017:
['1.71%', '20.70%', '16.94%', '1.05%', '11.73%', '10.78%', '19.25%']..., số giá trị độc nhất: 7
W23_2018:
['0.90%', '8.22%', '12.81%', '1.95%', '7.12%', '9.08%', '35.71%']..., số giá trị độc nhất: 7
W23_2019:
['0.30%', '20.40%', '14.40%', '5.81%', '9.87%', '8.68%', '15.63%']..., số giá trị độc nhất: 7
W23_2020:
['0.71%', '10.55%', '13.98%', '3.90%', '8.22%', '12.84%', '25.60%']..., số giá trị độc nhất: 7
W23_2021:
['0.78%', '4.82%', '12.57%', '4.81%', '4.67%', '4.32%', '50.01%']..., số giá trị độc nhất: 7
W23_2022:
['0.33%', '11.67%', '15.76%', '7.41%', '9.40%', '8.29%', '21.34%']..., số giá trị độc nhất: 7
W23_2023:
['0.54%', '10.30%', '13.89%', '3.13%', '8.17%', '7.30%', '32.59%']..., số giá trị độc nhất: 7
W23_2024:
['0.28%', '12.17%', '14.15%', '3.02%', '8.99%', '8.88%', '27.37%']..., số giá trị độc nhất: 7
W23_TRUNG BÌNH:
['+0.91%', '+14.25%', '+13.53%', '+3.84%', '+9.73%', '+9.00%', '+25.43%']..., số giá trị độc nhất: 7
W23_TRUNG VỊ:
['+0.71%', '+11.72%', '+13.05%', '+3.13%', '+8.99%', '+8.61%', '+24.43%']..., số giá trị độc nhất: 7
W24_2010:
['1.07%', '27.67%', '13.22%', '1.86%', '11.02%', '8.31%', '15.14%']..., số giá trị độc nhất: 7
W24_2011:
['0.45%', '20.60%', '8.91%', '2.30%', '8.30%', '10.03%', '27.87%']..., số giá trị độc nhất: 7
W24_2012:
['0.08%', '17.95%', '10.97%', '1.81%', '7.47%', '7.20%', '34.02%']..., số giá trị độc nhất: 7
W24_2013:
['0.37%', '11.38%', '12.19%', '6.93%', '11.22%', '10.04%', '17.96%']..., số giá trị độc nhất: 7
W24_2014:
['2.59%', '11.01%', '10.76%', '3.95%', '11.06%', '8.51%', '24.92%']..., số giá trị độc nhất: 7
W24_2015:
['3.41%', '20.38%', '8.86%', '7.02%', '14.59%', '6.61%', '15.00%']..., số giá trị độc nhất: 7
W24_2016:
['1.21%', '10.76%', '18.67%', '5.53%', '18.78%', '13.24%', '12.42%']..., số giá trị độc nhất: 7
W24_2017:
['1.76%', '18.41%', '15.17%', '1.88%', '11.10%', '13.41%', '17.63%']..., số giá trị độc nhất: 7
W24_2018:
['0.42%', '10.33%', '12.75%', '1.60%', '7.90%', '10.47%', '30.25%']..., số giá trị độc nhất: 7
W24_2019:
['0.51%', '21.08%', '11.85%', '3.66%', '10.64%', '8.85%', '16.08%']..., số giá trị độc nhất: 7
W24_2020:
['0.74%', '11.45%', '14.60%', '3.54%', '10.65%', '10.29%', '23.05%']..., số giá trị độc nhất: 7
W24_2021:
['0.68%', '5.01%', '11.94%', '4.95%', '4.82%', '4.68%', '48.50%']..., số giá trị độc nhất: 7
W24_2022:
['0.32%', '11.57%', '15.73%', '9.02%', '10.01%', '8.97%', '19.22%']..., số giá trị độc nhất: 7
W24_2023:
['0.73%', '9.95%', '13.07%', '3.34%', '7.71%', '8.07%', '32.83%']..., số giá trị độc nhất: 7
W24_2024:
['0.36%', '12.31%', '11.87%', '2.74%', '8.23%', '8.50%', '32.50%']..., số giá trị độc nhất: 7
W24_TRUNG BÌNH:
['+0.98%', '+14.66%', '+12.70%', '+4.01%', '+10.23%', '+9.15%', '+24.49%']..., số giá trị độc nhất: 7
W24_TRUNG VỊ:
['+0.68%', '+11.57%', '+12.19%', '+3.54%', '+10.64%', '+8.85%', '+23.05%']..., số giá trị độc nhất: 7
W25_2010:
['0.72%', '30.78%', '14.92%', '2.01%', '9.54%', '7.84%', '15.00%']..., số giá trị độc nhất: 7
W25_2011:
['0.28%', '19.24%', '7.95%', '2.73%', '9.64%', '8.75%', '28.13%']..., số giá trị độc nhất: 7
W25_2012:
['0.13%', '15.34%', '10.62%', '1.85%', '9.95%', '7.63%', '31.85%']..., số giá trị độc nhất: 7
W25_2013:
['0.41%', '11.61%', '11.40%', '7.12%', '11.43%', '9.14%', '18.68%']..., số giá trị độc nhất: 7
W25_2014:
['2.59%', '11.41%', '13.07%', '4.89%', '11.19%', '8.51%', '24.54%']..., số giá trị độc nhất: 7
W25_2015:
['3.30%', '13.53%', '8.58%', '4.57%', '15.91%', '6.95%', '23.12%']..., số giá trị độc nhất: 7
W25_2016:
['1.41%', '10.44%', '21.00%', '5.04%', '20.39%', '14.67%', '9.12%']..., số giá trị độc nhất: 7
W25_2017:
['3.26%', '16.79%', '12.85%', '1.32%', '12.41%', '11.94%', '20.03%']..., số giá trị độc nhất: 7
W25_2018:
['0.73%', '8.34%', '14.12%', '2.58%', '7.78%', '10.13%', '31.76%']..., số giá trị độc nhất: 7
W25_2019:
['0.28%', '20.80%', '10.85%', '4.05%', '8.49%', '10.30%', '17.71%']..., số giá trị độc nhất: 7
W25_2020:
['1.03%', '9.73%', '13.78%', '2.26%', '10.31%', '12.59%', '22.80%']..., số giá trị độc nhất: 7
W25_2021:
['1.01%', '5.97%', '12.99%', '4.54%', '5.70%', '6.09%', '41.73%']..., số giá trị độc nhất: 7
W25_2022:
['0.33%', '9.82%', '15.80%', '8.05%', '9.93%', '8.50%', '22.07%']..., số giá trị độc nhất: 7
W25_2023:
['0.58%', '11.88%', '13.21%', '4.18%', '7.21%', '8.00%', '30.03%']..., số giá trị độc nhất: 7
W25_2024:
['0.54%', '11.22%', '14.93%', '2.86%', '8.90%', '8.13%', '29.15%']..., số giá trị độc nhất: 7
W25_TRUNG BÌNH:
['+1.11%', '+13.79%', '+13.07%', '+3.87%', '+10.58%', '+9.28%', '+24.38%']..., số giá trị độc nhất: 7
W25_TRUNG VỊ:
['+0.72%', '+11.61%', '+13.07%', '+4.05%', '+9.93%', '+8.51%', '+23.12%']..., số giá trị độc nhất: 7
W26_2010:
['1.26%', '30.08%', '13.32%', '1.31%', '11.98%', '7.22%', '14.55%']..., số giá trị độc nhất: 7
W26_2011:
['1.05%', '18.90%', '7.42%', '1.77%', '10.20%', '10.47%', '28.72%']..., số giá trị độc nhất: 7
W26_2012:
['0.15%', '14.16%', '10.85%', '2.28%', '9.95%', '7.21%', '31.82%']..., số giá trị độc nhất: 7
W26_2013:
['0.40%', '10.02%', '10.94%', '5.39%', '9.10%', '9.85%', '23.58%']..., số giá trị độc nhất: 7
W26_2014:
['2.02%', '11.33%', '10.03%', '8.26%', '11.94%', '8.29%', '19.04%']..., số giá trị độc nhất: 7
W26_2015:
['2.70%', '10.08%', '8.47%', '4.68%', '13.80%', '9.54%', '24.29%']..., số giá trị độc nhất: 7
W26_2016:
['1.60%', '12.97%', '20.00%', '4.64%', '19.08%', '15.45%', '7.48%']..., số giá trị độc nhất: 7
W26_2017:
['1.82%', '18.48%', '14.52%', '1.34%', '15.04%', '12.76%', '13.19%']..., số giá trị độc nhất: 7
W26_2018:
['0.74%', '8.30%', '12.50%', '3.16%', '9.00%', '11.61%', '29.19%']..., số giá trị độc nhất: 7
W26_2019:
['0.29%', '21.82%', '9.31%', '4.85%', '10.36%', '9.48%', '17.79%']..., số giá trị độc nhất: 7
W26_2020:
['0.83%', '11.07%', '18.36%', '2.09%', '10.02%', '10.92%', '19.05%']..., số giá trị độc nhất: 7
W26_2021:
['1.05%', '6.37%', '12.92%', '4.28%', '5.98%', '6.49%', '40.42%']..., số giá trị độc nhất: 7
W26_2022:
['0.28%', '9.79%', '14.92%', '7.96%', '9.82%', '8.97%', '21.48%']..., số giá trị độc nhất: 7
W26_2023:
['0.47%', '11.32%', '13.70%', '3.01%', '8.26%', '8.89%', '28.98%']..., số giá trị độc nhất: 7
W26_2024:
['0.45%', '11.33%', '14.44%', '2.86%', '9.37%', '7.65%', '28.14%']..., số giá trị độc nhất: 7
W26_TRUNG BÌNH:
['+1.01%', '+13.73%', '+12.78%', '+3.86%', '+10.93%', '+9.65%', '+23.18%']..., số giá trị độc nhất: 7
W26_TRUNG VỊ:
['+0.83%', '+11.33%', '+12.92%', '+3.16%', '+10.02%', '+9.48%', '+23.58%']..., số giá trị độc nhất: 7
W27_2010:
['1.09%', '30.63%', '14.30%', '1.74%', '11.43%', '6.53%', '13.29%']..., số giá trị độc nhất: 7
W27_2011:
['1.21%', '16.95%', '8.40%', '2.51%', '10.68%', '9.59%', '28.87%']..., số giá trị độc nhất: 7
W27_2012:
['0.16%', '15.51%', '10.98%', '2.03%', '10.09%', '6.49%', '33.72%']..., số giá trị độc nhất: 7
W27_2013:
['0.43%', '8.79%', '11.17%', '4.05%', '9.93%', '12.39%', '14.83%']..., số giá trị độc nhất: 7
W27_2014:
['1.34%', '11.78%', '12.14%', '5.13%', '11.75%', '7.48%', '19.41%']..., số giá trị độc nhất: 7
W27_2015:
['2.45%', '11.52%', '10.18%', '4.45%', '14.36%', '9.94%', '25.25%']..., số giá trị độc nhất: 7
W27_2016:
['1.99%', '13.73%', '22.65%', '2.89%', '17.38%', '16.74%', '6.37%']..., số giá trị độc nhất: 7
W27_2017:
['1.49%', '15.98%', '16.65%', '1.53%', '12.59%', '9.54%', '19.28%']..., số giá trị độc nhất: 7
W27_2018:
['1.23%', '6.86%', '11.93%', '2.33%', '7.34%', '11.04%', '35.25%']..., số giá trị độc nhất: 7
W27_2019:
['0.35%', '18.77%', '11.52%', '3.45%', '13.16%', '8.84%', '16.66%']..., số giá trị độc nhất: 7
W27_2020:
['0.78%', '10.36%', '19.65%', '1.87%', '11.00%', '12.47%', '18.30%']..., số giá trị độc nhất: 7
W27_2021:
['0.79%', '5.24%', '13.76%', '3.86%', '5.16%', '4.93%', '45.88%']..., số giá trị độc nhất: 7
W27_2022:
['0.28%', '9.52%', '13.40%', '5.33%', '9.72%', '9.65%', '26.87%']..., số giá trị độc nhất: 7
W27_2023:
['0.39%', '10.67%', '14.74%', '3.46%', '8.08%', '9.84%', '32.57%']..., số giá trị độc nhất: 7
W27_2024:
['0.53%', '10.60%', '12.50%', '2.35%', '12.72%', '7.00%', '27.00%']..., số giá trị độc nhất: 7
W27_TRUNG BÌNH:
['+0.97%', '+13.13%', '+13.60%', '+3.13%', '+11.03%', '+9.50%', '+24.24%']..., số giá trị độc nhất: 7
W27_TRUNG VỊ:
['+0.79%', '+11.52%', '+12.50%', '+2.89%', '+11.00%', '+9.59%', '+25.25%']..., số giá trị độc nhất: 7
W28_2010:
['1.23%', '30.37%', '14.21%', '1.79%', '11.28%', '7.24%', '14.75%']..., số giá trị độc nhất: 7
W28_2011:
['0.66%', '16.60%', '9.11%', '2.35%', '7.67%', '10.40%', '33.86%']..., số giá trị độc nhất: 7
W28_2012:
['0.25%', '14.63%', '11.44%', '1.65%', '10.37%', '7.33%', '34.78%']..., số giá trị độc nhất: 7
W28_2013:
['0.55%', '8.35%', '11.44%', '3.07%', '9.27%', '13.26%', '13.81%']..., số giá trị độc nhất: 7
W28_2014:
['1.63%', '11.99%', '12.49%', '5.25%', '10.45%', '8.86%', '16.47%']..., số giá trị độc nhất: 7
W28_2015:
['1.88%', '12.71%', '7.62%', '6.29%', '14.37%', '9.83%', '27.70%']..., số giá trị độc nhất: 7
W28_2016:
['2.37%', '14.81%', '23.45%', '2.54%', '16.05%', '11.80%', '10.65%']..., số giá trị độc nhất: 7
W28_2017:
['2.40%', '17.35%', '16.23%', '1.25%', '10.25%', '11.80%']..., số giá trị độc nhất: 6
W28_2018:
['0.88%', '8.89%', '12.54%', '2.37%', '6.69%', '11.60%', '35.64%']..., số giá trị độc nhất: 7
W28_2019:
['0.34%', '20.13%', '13.66%', '4.67%', '12.58%', '8.44%', '16.89%']..., số giá trị độc nhất: 7
W28_2020:
['0.65%', '8.09%', '19.64%', '1.86%', '8.88%', '13.13%', '22.30%']..., số giá trị độc nhất: 7
W28_2021:
['0.80%', '4.66%', '13.43%', '3.04%', '5.93%', '4.70%', '48.65%']..., số giá trị độc nhất: 7
W28_2022:
['0.24%', '9.26%', '12.93%', '5.32%', '8.13%', '10.37%', '30.82%']..., số giá trị độc nhất: 7
W28_2023:
['0.44%', '10.81%', '12.67%', '2.85%', '8.83%', '9.06%', '32.46%']..., số giá trị độc nhất: 7
W28_2024:
['0.46%', '10.85%', '16.06%', '2.70%', '10.99%', '9.11%', '24.16%']..., số giá trị độc nhất: 7
W28_TRUNG BÌNH:
['+0.98%', '+13.30%', '+13.80%', '+3.13%', '+10.12%', '+9.80%', '+25.28%']..., số giá trị độc nhất: 7
W28_TRUNG VỊ:
['+0.66%', '+11.99%', '+12.93%', '+2.70%', '+10.25%', '+9.83%', '+24.16%']..., số giá trị độc nhất: 7
W29_2010:
['1.62%', '29.48%', '12.19%', '1.52%', '11.87%', '7.54%', '18.25%']..., số giá trị độc nhất: 7
W29_2011:
['0.77%', '14.49%', '10.35%', '2.41%', '8.03%', '10.40%', '31.75%']..., số giá trị độc nhất: 7
W29_2012:
['0.12%', '14.33%', '12.79%', '2.15%', '10.13%', '6.72%', '33.03%']..., số giá trị độc nhất: 7
W29_2013:
['0.41%', '7.12%', '11.30%', '2.29%', '11.78%', '13.33%', '10.40%']..., số giá trị độc nhất: 7
W29_2014:
['1.79%', '11.24%', '12.50%', '8.13%', '11.19%', '7.27%', '13.92%']..., số giá trị độc nhất: 7
W29_2015:
['2.10%', '15.14%', '9.66%', '4.06%', '13.01%', '9.86%', '28.68%']..., số giá trị độc nhất: 7
W29_2016:
['2.51%', '12.54%', '23.04%', '2.42%', '16.81%', '10.98%', '13.00%']..., số giá trị độc nhất: 7
W29_2017:
['2.35%', '17.46%', '18.02%', '1.42%', '11.64%', '12.68%', '14.27%']..., số giá trị độc nhất: 7
W29_2018:
['0.84%', '7.97%', '10.39%', '1.95%', '7.95%', '14.13%', '34.31%']..., số giá trị độc nhất: 7
W29_2019:
['0.25%', '16.46%', '11.48%', '4.14%', '11.89%', '9.46%', '21.11%']..., số giá trị độc nhất: 7
W29_2020:
['0.83%', '9.06%', '16.98%', '1.89%', '11.36%', '14.14%', '21.67%']..., số giá trị độc nhất: 7
W29_2021:
['0.52%', '5.20%', '14.59%', '3.06%', '5.61%', '5.11%', '46.28%']..., số giá trị độc nhất: 7
W29_2022:
['0.33%', '9.90%', '13.68%', '3.89%', '7.24%', '9.63%', '29.83%']..., số giá trị độc nhất: 7
W29_2023:
['0.64%', '10.85%', '11.49%', '2.52%', '8.22%', '7.79%', '31.20%']..., số giá trị độc nhất: 7
W29_2024:
['1.01%', '9.80%', '11.96%', '2.37%', '10.63%', '6.62%', '32.14%']..., số giá trị độc nhất: 7
W29_TRUNG BÌNH:
['+1.07%', '+12.74%', '+13.36%', '+2.95%', '+10.49%', '+9.71%', '+25.32%']..., số giá trị độc nhất: 7
W29_TRUNG VỊ:
['+0.83%', '+11.24%', '+12.19%', '+2.41%', '+11.19%', '+9.63%', '+28.68%']..., số giá trị độc nhất: 7
W2_2010:
['0.92%', '24.07%', '11.25%', '1.35%', '8.41%', '10.18%', '21.27%']..., số giá trị độc nhất: 7
W2_2011:
['0.82%', '21.78%', '11.37%', '2.09%', '10.47%', '7.84%', '24.51%']..., số giá trị độc nhất: 7
W2_2012:
['0.81%', '10.80%', '8.31%', '1.55%', '8.76%', '10.13%', '43.04%']..., số giá trị độc nhất: 7
W2_2013:
['0.21%', '11.28%', '12.27%', '3.75%', '8.58%', '9.26%', '32.56%']..., số giá trị độc nhất: 7
W2_2014:
['2.19%', '12.92%', '8.53%', '5.48%', '13.79%', '5.14%', '20.15%']..., số giá trị độc nhất: 7
W2_2015:
['1.95%', '13.09%', '11.97%', '6.40%', '11.32%', '13.28%', '17.39%']..., số giá trị độc nhất: 7
W2_2016:
['1.04%', '13.56%', '11.21%', '2.80%', '16.28%', '16.26%', '12.92%']..., số giá trị độc nhất: 7
W2_2017:
['1.14%', '22.03%', '17.56%', '2.01%', '8.63%', '15.12%', '13.91%']..., số giá trị độc nhất: 7
W2_2018:
['1.34%', '12.94%', '10.66%', '4.17%', '8.72%', '9.91%', '32.04%']..., số giá trị độc nhất: 7
W2_2019:
['0.65%', '19.72%', '8.95%', '4.49%', '9.08%', '11.09%', '24.75%']..., số giá trị độc nhất: 7
W2_2020:
['1.20%', '12.32%', '10.89%', '5.00%', '10.87%', '7.31%', '27.71%']..., số giá trị độc nhất: 7
W2_2021:
['1.38%', '8.49%', '11.60%', '3.21%', '6.18%', '9.90%', '33.45%']..., số giá trị độc nhất: 7
W2_2022:
['0.88%', '14.09%', '10.66%', '2.39%', '11.22%', '7.07%', '23.38%']..., số giá trị độc nhất: 7
W2_2023:
['0.18%', '9.35%', '13.77%', '4.09%', '6.70%', '8.34%', '36.29%']..., số giá trị độc nhất: 7
W2_2024:
['0.21%', '10.30%', '10.69%', '2.46%', '6.70%', '6.36%', '40.49%']..., số giá trị độc nhất: 7
W2_2025:
['0.68%', '9.92%', '11.92%', '1.77%', '7.40%', '8.73%', '34.44%']..., số giá trị độc nhất: 7
W2_TRUNG BÌNH:
['+0.97%', '+14.17%', '+11.35%', '+3.31%', '+9.57%', '+9.75%', '+27.39%']..., số giá trị độc nhất: 7
W2_TRUNG VỊ:
['+0.90%', '+12.93%', '+11.23%', '+3.01%', '+8.74%', '+9.58%', '+26.23%']..., số giá trị độc nhất: 7
W30_2010:
['1.23%', '30.40%', '12.36%', '1.38%', '13.09%', '8.87%', '15.07%']..., số giá trị độc nhất: 7
W30_2011:
['0.95%', '15.54%', '10.63%', '1.96%', '7.45%', '8.89%', '32.94%']..., số giá trị độc nhất: 7
W30_2012:
['0.26%', '15.88%', '15.08%', '2.05%', '9.42%', '5.71%', '31.60%']..., số giá trị độc nhất: 7
W30_2013:
['1.41%', '6.42%', '11.24%', '2.89%', '10.24%', '10.89%', '12.62%']..., số giá trị độc nhất: 7
W30_2014:
['1.87%', '10.85%', '11.83%', '8.47%', '11.32%', '9.62%', '13.10%']..., số giá trị độc nhất: 7
W30_2015:
['1.68%', '10.83%', '13.70%', '3.42%', '12.96%', '11.01%', '27.77%']..., số giá trị độc nhất: 7
W30_2016:
['2.08%', '11.89%', '24.39%', '2.56%', '13.34%', '15.99%', '11.22%']..., số giá trị độc nhất: 7
W30_2017:
['2.24%', '17.04%', '13.95%', '1.39%', '12.57%', '11.98%', '16.57%']..., số giá trị độc nhất: 7
W30_2018:
['0.67%', '8.02%', '12.27%', '4.08%', '9.01%', '15.52%', '28.20%']..., số giá trị độc nhất: 7
W30_2019:
['0.37%', '18.46%', '13.43%', '3.54%', '12.00%', '7.72%', '19.34%']..., số giá trị độc nhất: 7
W30_2020:
['0.77%', '9.04%', '17.66%', '1.98%', '8.55%', '14.78%', '20.79%']..., số giá trị độc nhất: 7
W30_2021:
['0.79%', '5.18%', '15.23%', '2.99%', '5.91%', '5.37%', '41.44%']..., số giá trị độc nhất: 7
W30_2022:
['0.56%', '9.80%', '13.44%', '4.33%', '8.78%', '10.44%', '28.41%']..., số giá trị độc nhất: 7
W30_2023:
['0.65%', '12.57%', '11.28%', '2.64%', '7.80%', '7.86%', '26.97%']..., số giá trị độc nhất: 7
W30_2024:
['0.57%', '8.98%', '12.28%', '2.40%', '10.01%', '7.14%', '34.98%']..., số giá trị độc nhất: 7
W30_TRUNG BÌNH:
['+1.07%', '+12.73%', '+13.92%', '+3.07%', '+10.16%', '+10.12%', '+24.07%']..., số giá trị độc nhất: 7
W30_TRUNG VỊ:
['+0.79%', '+10.85%', '+13.43%', '+2.64%', '+10.01%', '+9.62%', '+26.97%']..., số giá trị độc nhất: 7
W31_2010:
['1.77%', '28.67%', '12.22%', '1.18%', '11.46%', '8.75%', '14.33%']..., số giá trị độc nhất: 7
W31_2011:
['0.59%', '14.09%', '11.39%', '3.36%', '7.00%', '9.72%', '26.94%']..., số giá trị độc nhất: 7
W31_2012:
['0.63%', '12.56%', '14.41%', '1.67%', '7.89%', '6.99%', '33.81%']..., số giá trị độc nhất: 7
W31_2013:
['3.70%', '9.33%', '13.01%', '3.12%', '9.89%', '14.10%', '13.85%']..., số giá trị độc nhất: 7
W31_2014:
['1.82%', '10.64%', '10.92%', '8.95%', '10.86%', '8.81%', '14.54%']..., số giá trị độc nhất: 7
W31_2015:
['1.92%', '10.76%', '12.65%', '2.65%', '11.33%', '17.29%', '21.43%']..., số giá trị độc nhất: 7
W31_2016:
['2.21%', '11.22%', '26.26%', '2.07%', '15.29%', '16.88%', '7.31%']..., số giá trị độc nhất: 7
W31_2017:
['2.29%', '15.51%', '15.00%', '3.20%', '9.09%', '13.00%', '18.25%']..., số giá trị độc nhất: 7
W31_2018:
['0.72%', '9.43%', '10.44%', '5.10%', '9.81%', '14.49%', '26.20%']..., số giá trị độc nhất: 7
W31_2019:
['0.45%', '19.16%', '13.03%', '3.25%', '11.67%', '8.40%', '15.91%']..., số giá trị độc nhất: 7
W31_2020:
['0.78%', '7.90%', '17.59%', '1.97%', '8.93%', '14.32%', '21.98%']..., số giá trị độc nhất: 7
W31_2021:
['0.63%', '5.96%', '14.97%', '2.86%', '6.45%', '6.34%', '38.17%']..., số giá trị độc nhất: 7
W31_2022:
['0.42%', '10.33%', '14.24%', '3.76%', '8.10%', '9.39%', '29.22%']..., số giá trị độc nhất: 7
W31_2023:
['0.47%', '12.22%', '11.62%', '2.95%', '8.14%', '7.51%', '27.66%']..., số giá trị độc nhất: 7
W31_2024:
['0.44%', '9.19%', '12.99%', '2.66%', '10.20%', '11.00%', '29.16%']..., số giá trị độc nhất: 7
W31_TRUNG BÌNH:
['+1.26%', '+12.47%', '+14.05%', '+3.25%', '+9.74%', '+11.13%', '+22.58%']..., số giá trị độc nhất: 7
W31_TRUNG VỊ:
['+0.72%', '+10.76%', '+13.01%', '+2.95%', '+9.81%', '+9.72%', '+21.98%']..., số giá trị độc nhất: 7
W32_2010:
['1.49%', '28.45%', '12.27%', '1.41%', '13.46%', '10.06%', '12.46%']..., số giá trị độc nhất: 7
W32_2011:
['0.78%', '14.76%', '9.03%', '2.39%', '6.78%', '7.90%', '38.17%']..., số giá trị độc nhất: 7
W32_2012:
['0.39%', '12.53%', '16.19%', '1.58%', '8.73%', '8.05%', '33.21%']..., số giá trị độc nhất: 7
W32_2013:
['3.83%', '8.65%', '15.81%', '4.36%', '9.81%', '13.40%']..., số giá trị độc nhất: 6
W32_2014:
['1.60%', '10.85%', '9.22%', '8.64%', '12.43%', '11.63%', '12.06%']..., số giá trị độc nhất: 7
W32_2015:
['2.51%', '10.84%', '12.32%', '2.27%', '12.05%', '16.87%', '23.65%']..., số giá trị độc nhất: 7
W32_2016:
['1.77%', '13.52%', '23.60%', '2.26%', '12.96%', '18.69%', '8.39%']..., số giá trị độc nhất: 7
W32_2017:
['2.69%', '16.04%', '12.31%', '2.63%', '14.42%', '12.01%', '16.78%']..., số giá trị độc nhất: 7
W32_2018:
['1.18%', '8.76%', '8.32%', '6.27%', '9.17%', '15.13%', '29.21%']..., số giá trị độc nhất: 7
W32_2019:
['0.38%', '20.68%', '11.31%', '3.49%', '11.44%', '7.86%', '14.62%']..., số giá trị độc nhất: 7
W32_2020:
['0.92%', '8.67%', '20.85%', '2.49%', '9.29%', '14.51%', '18.76%']..., số giá trị độc nhất: 7
W32_2021:
['0.90%', '6.49%', '14.83%', '2.93%', '6.18%', '5.30%', '38.55%']..., số giá trị độc nhất: 7
W32_2022:
['0.48%', '9.63%', '14.87%', '3.83%', '7.69%', '9.24%', '30.77%']..., số giá trị độc nhất: 7
W32_2023:
['0.47%', '10.94%', '10.87%', '3.03%', '7.90%', '8.46%', '28.59%']..., số giá trị độc nhất: 7
W32_2024:
['0.32%', '8.10%', '11.89%', '2.99%', '9.32%', '10.87%', '31.13%']..., số giá trị độc nhất: 7
W32_TRUNG BÌNH:
['+1.31%', '+12.59%', '+13.58%', '+3.37%', '+10.11%', '+11.33%', '+23.32%']..., số giá trị độc nhất: 7
W32_TRUNG VỊ:
['+0.92%', '+10.85%', '+12.31%', '+2.93%', '+9.32%', '+10.87%', '+23.65%']..., số giá trị độc nhất: 7
W33_2010:
['1.35%', '29.89%', '11.46%', '1.68%', '10.73%', '9.82%', '14.46%']..., số giá trị độc nhất: 7
W33_2011:
['0.94%', '15.55%', '10.60%', '2.13%', '6.52%', '8.40%', '34.28%']..., số giá trị độc nhất: 7
W33_2012:
['0.50%', '9.92%', '13.73%', '2.51%', '5.97%', '6.97%', '38.74%']..., số giá trị độc nhất: 7
W33_2013:
['3.25%', '9.59%', '14.82%', '4.05%', '8.73%', '12.50%', '13.71%']..., số giá trị độc nhất: 7
W33_2014:
['1.50%', '11.68%', '9.27%', '8.61%', '13.38%', '11.90%', '10.61%']..., số giá trị độc nhất: 7
W33_2015:
['1.94%', '10.97%', '12.23%', '2.79%', '11.81%', '15.69%', '23.51%']..., số giá trị độc nhất: 7
W33_2016:
['1.33%', '14.52%', '20.61%', '3.05%', '11.49%', '21.67%', '6.37%']..., số giá trị độc nhất: 7
W33_2017:
['2.39%', '14.35%', '15.55%', '2.11%', '11.20%', '10.20%', '23.51%']..., số giá trị độc nhất: 7
W33_2018:
['0.70%', '9.65%', '9.47%', '5.84%', '10.50%', '10.34%', '34.72%']..., số giá trị độc nhất: 7
W33_2019:
['0.32%', '20.40%', '12.14%', '2.41%', '11.56%', '7.67%', '16.62%']..., số giá trị độc nhất: 7
W33_2020:
['0.87%', '8.20%', '18.02%', '2.32%', '8.75%', '13.79%', '21.32%']..., số giá trị độc nhất: 7
W33_2021:
['0.96%', '8.82%', '14.70%', '3.83%', '6.95%', '6.33%', '33.89%']..., số giá trị độc nhất: 7
W33_2022:
['0.49%', '10.31%', '15.67%', '4.33%', '8.59%', '9.33%', '27.23%']..., số giá trị độc nhất: 7
W33_2023:
['0.38%', '10.20%', '10.81%', '2.47%', '7.34%', '6.30%', '29.99%']..., số giá trị độc nhất: 7
W33_2024:
['0.37%', '7.65%', '13.50%', '2.97%', '11.77%', '9.81%', '27.70%']..., số giá trị độc nhất: 7
W33_TRUNG BÌNH:
['+1.15%', '+12.78%', '+13.50%', '+3.41%', '+9.69%', '+10.71%', '+23.78%']..., số giá trị độc nhất: 7
W33_TRUNG VỊ:
['+0.94%', '+10.31%', '+13.50%', '+2.79%', '+10.50%', '+9.82%', '+23.51%']..., số giá trị độc nhất: 7
W34_2010:
['2.32%', '28.83%', '11.36%', '2.39%', '10.89%', '9.15%', '14.71%']..., số giá trị độc nhất: 7
W34_2011:
['0.94%', '17.91%', '8.31%', '1.63%', '7.70%', '7.54%', '38.23%']..., số giá trị độc nhất: 7
W34_2012:
['0.30%', '10.86%', '14.69%', '3.42%', '8.92%', '8.15%', '33.61%']..., số giá trị độc nhất: 7
W34_2013:
['2.23%', '8.24%', '14.02%', '3.43%', '10.18%', '16.10%', '16.24%']..., số giá trị độc nhất: 7
W34_2014:
['1.17%', '12.17%', '9.52%', '8.42%', '12.50%', '9.05%', '14.50%']..., số giá trị độc nhất: 7
W34_2015:
['1.92%', '15.04%', '10.35%', '3.93%', '10.78%', '11.22%', '23.52%']..., số giá trị độc nhất: 7
W34_2016:
['2.17%', '15.38%', '19.12%', '3.39%', '13.49%', '22.16%', '6.04%']..., số giá trị độc nhất: 7
W34_2017:
['3.06%', '16.42%', '13.63%', '1.46%', '12.51%', '9.13%', '14.55%']..., số giá trị độc nhất: 7
W34_2018:
['1.01%', '10.18%', '8.70%', '4.02%', '11.35%', '11.41%', '29.40%']..., số giá trị độc nhất: 7
W34_2019:
['0.28%', '22.17%', '9.09%', '4.21%', '11.02%', '7.44%', '17.53%']..., số giá trị độc nhất: 7
W34_2020:
['1.36%', '8.16%', '18.93%', '2.08%', '9.35%', '11.93%', '23.46%']..., số giá trị độc nhất: 7
W34_2021:
['1.88%', '7.42%', '14.83%', '2.45%', '6.45%', '5.42%', '36.30%']..., số giá trị độc nhất: 7
W34_2022:
['0.33%', '10.13%', '15.02%', '4.22%', '8.35%', '9.41%', '28.12%']..., số giá trị độc nhất: 7
W34_2023:
['0.37%', '9.12%', '10.03%', '1.66%', '6.68%', '6.28%', '33.86%']..., số giá trị độc nhất: 7
W34_2024:
['0.39%', '7.72%', '13.05%', '2.85%', '9.67%', '7.79%', '31.67%']..., số giá trị độc nhất: 7
W34_TRUNG BÌNH:
['+1.32%', '+13.32%', '+12.71%', '+3.30%', '+9.99%', '+10.15%', '+24.12%']..., số giá trị độc nhất: 7
W34_TRUNG VỊ:
['+1.17%', '+10.86%', '+13.05%', '+3.39%', '+10.18%', '+9.13%', '+23.52%']..., số giá trị độc nhất: 7
W35_2010:
['1.95%', '28.74%', '12.98%', '2.16%', '9.48%', '8.47%', '14.31%']..., số giá trị độc nhất: 7
W35_2011:
['0.76%', '18.11%', '8.63%', '1.62%', '7.81%', '5.87%', '35.70%']..., số giá trị độc nhất: 7
W35_2012:
['0.28%', '8.98%', '13.37%', '3.11%', '7.43%', '8.09%', '35.33%']..., số giá trị độc nhất: 7
W35_2013:
['2.02%', '7.70%', '11.83%', '3.90%', '9.96%', '18.06%', '18.37%']..., số giá trị độc nhất: 7
W35_2014:
['1.67%', '12.88%', '10.61%', '7.96%', '10.85%', '9.19%', '14.33%']..., số giá trị độc nhất: 7
W35_2015:
['2.60%', '15.98%', '9.49%', '4.87%', '10.95%', '10.44%', '23.24%']..., số giá trị độc nhất: 7
W35_2016:
['1.86%', '13.66%', '21.87%', '3.31%', '15.09%', '17.55%', '6.57%']..., số giá trị độc nhất: 7
W35_2017:
['3.05%', '20.85%', '12.97%', '1.57%', '11.64%', '7.66%', '14.35%']..., số giá trị độc nhất: 7
W35_2018:
['1.00%', '11.20%', '12.06%', '4.45%', '9.22%', '10.95%', '30.41%']..., số giá trị độc nhất: 7
W35_2019:
['0.82%', '20.61%', '9.76%', '4.25%', '10.44%', '8.13%', '18.69%']..., số giá trị độc nhất: 7
W35_2020:
['0.99%', '8.09%', '16.12%', '2.89%', '11.23%', '11.87%', '22.68%']..., số giá trị độc nhất: 7
W35_2021:
['1.75%', '8.67%', '14.98%', '1.98%', '6.69%', '5.55%', '34.80%']..., số giá trị độc nhất: 7
W35_2022:
['0.37%', '9.07%', '13.27%', '5.40%', '10.38%', '9.85%', '26.57%']..., số giá trị độc nhất: 7
W35_2023:
['0.31%', '10.76%', '9.89%', '2.09%', '8.34%', '6.51%', '30.63%']..., số giá trị độc nhất: 7
W35_2024:
['0.35%', '6.31%', '10.95%', '2.07%', '9.47%', '7.94%', '35.13%']..., số giá trị độc nhất: 7
W35_TRUNG BÌNH:
['+1.32%', '+13.44%', '+12.59%', '+3.44%', '+9.93%', '+9.74%', '+24.08%']..., số giá trị độc nhất: 7
W35_TRUNG VỊ:
['+1.00%', '+11.20%', '+12.06%', '+3.11%', '+9.96%', '+8.47%', '+23.24%']..., số giá trị độc nhất: 7
W36_2010:
['1.01%', '27.41%', '14.32%', '1.61%', '7.66%', '8.44%', '16.66%']..., số giá trị độc nhất: 7
W36_2011:
['0.49%', '18.71%', '8.99%', '1.76%', '7.81%', '6.64%', '35.41%']..., số giá trị độc nhất: 7
W36_2012:
['0.37%', '10.05%', '19.17%', '3.12%', '6.15%', '11.19%', '29.92%']..., số giá trị độc nhất: 7
W36_2013:
['2.14%', '9.59%', '9.67%', '2.46%', '10.09%', '17.18%', '16.92%']..., số giá trị độc nhất: 7
W36_2014:
['1.42%', '13.60%', '11.66%', '6.28%', '11.30%', '8.39%', '13.91%']..., số giá trị độc nhất: 7
W36_2015:
['1.93%', '10.12%', '10.32%', '5.42%', '12.39%', '10.23%', '23.65%']..., số giá trị độc nhất: 7
W36_2016:
['1.28%', '14.04%', '17.68%', '2.84%', '12.21%', '24.71%', '9.44%']..., số giá trị độc nhất: 7
W36_2017:
['2.45%', '24.61%', '16.92%', '1.64%', '9.20%', '7.79%', '13.02%']..., số giá trị độc nhất: 7
W36_2018:
['1.11%', '9.80%', '10.85%', '5.19%', '11.06%', '14.53%', '28.63%']..., số giá trị độc nhất: 7
W36_2019:
['0.43%', '23.98%', '10.60%', '2.81%', '9.20%', '7.06%', '17.15%']..., số giá trị độc nhất: 7
W36_2020:
['0.84%', '7.97%', '16.27%', '2.27%', '12.39%', '12.92%', '23.29%']..., số giá trị độc nhất: 7
W36_2021:
['1.78%', '11.09%', '18.02%', '2.24%', '7.22%', '8.12%', '23.92%']..., số giá trị độc nhất: 7
W36_2022:
['0.39%', '7.89%', '15.71%', '6.23%', '10.16%', '9.86%', '23.36%']..., số giá trị độc nhất: 7
W36_2023:
['0.34%', '11.28%', '12.35%', '2.68%', '7.87%', '6.53%', '28.74%']..., số giá trị độc nhất: 7
W36_2024:
['0.44%', '6.70%', '13.01%', '2.47%', '8.84%', '7.97%', '31.63%']..., số giá trị độc nhất: 7
W36_TRUNG BÌNH:
['+1.09%', '+13.79%', '+13.70%', '+3.27%', '+9.57%', '+10.77%', '+22.38%']..., số giá trị độc nhất: 7
W36_TRUNG VỊ:
['+1.01%', '+11.09%', '+13.01%', '+2.68%', '+9.20%', '+8.44%', '+23.36%']..., số giá trị độc nhất: 7
W37_2010:
['0.69%', '29.63%', '14.82%', '2.15%', '11.10%', '7.15%', '15.39%']..., số giá trị độc nhất: 7
W37_2011:
['0.70%', '18.08%', '9.97%', '1.79%', '8.24%', '8.38%', '32.33%']..., số giá trị độc nhất: 7
W37_2012:
['0.39%', '11.05%', '15.69%', '3.72%', '7.82%', '10.22%', '30.86%']..., số giá trị độc nhất: 7
W37_2013:
['2.06%', '10.89%', '15.06%', '3.09%', '9.88%', '8.70%', '19.18%']..., số giá trị độc nhất: 7
W37_2014:
['1.17%', '13.08%', '8.79%', '11.13%', '12.18%', '9.60%', '14.68%']..., số giá trị độc nhất: 7
W37_2015:
['1.65%', '13.74%', '10.71%', '3.02%', '10.77%', '9.73%', '27.06%']..., số giá trị độc nhất: 7
W37_2016:
['2.08%', '14.04%', '20.81%', '4.23%', '10.27%', '23.83%', '9.51%']..., số giá trị độc nhất: 7
W37_2017:
['2.10%', '23.07%', '15.32%', '1.35%', '11.97%', '10.26%', '13.37%']..., số giá trị độc nhất: 7
W37_2018:
['0.91%', '8.87%', '10.75%', '6.68%', '12.04%', '11.33%', '29.72%']..., số giá trị độc nhất: 7
W37_2019:
['0.97%', '21.91%', '9.30%', '3.61%', '11.10%', '6.91%', '17.82%']..., số giá trị độc nhất: 7
W37_2020:
['0.93%', '7.58%', '16.67%', '1.69%', '11.65%', '14.69%', '21.86%']..., số giá trị độc nhất: 7
W37_2021:
['1.76%', '10.64%', '19.34%', '1.94%', '7.14%', '6.25%', '27.70%']..., số giá trị độc nhất: 7
W37_2022:
['0.28%', '9.45%', '18.18%', '5.18%', '9.07%', '9.23%', '24.25%']..., số giá trị độc nhất: 7
W37_2023:
['0.23%', '11.63%', '11.42%', '3.15%', '7.84%', '5.60%', '31.16%']..., số giá trị độc nhất: 7
W37_2024:
['0.54%', '6.54%', '13.09%', '2.22%', '8.00%', '9.87%', '31.55%']..., số giá trị độc nhất: 7
W37_TRUNG BÌNH:
['+1.10%', '+14.01%', '+14.00%', '+3.66%', '+9.94%', '+10.12%', '+23.10%']..., số giá trị độc nhất: 7
W37_TRUNG VỊ:
['+0.93%', '+11.63%', '+14.82%', '+3.09%', '+10.27%', '+9.60%', '+24.25%']..., số giá trị độc nhất: 7
W38_2010:
['0.76%', '27.30%', '14.38%', '1.71%', '9.41%', '7.18%', '18.73%']..., số giá trị độc nhất: 7
W38_2011:
['0.33%', '18.64%', '11.17%', '1.70%', '8.02%', '8.87%', '25.48%']..., số giá trị độc nhất: 7
W38_2012:
['0.32%', '9.20%', '14.68%', '3.23%', '5.19%', '10.44%', '39.24%']..., số giá trị độc nhất: 7
W38_2013:
['1.83%', '12.01%', '10.07%', '3.70%', '12.00%', '5.93%', '25.56%']..., số giá trị độc nhất: 7
W38_2014:
['1.71%', '13.12%', '7.25%', '11.75%', '10.74%', '11.17%', '15.26%']..., số giá trị độc nhất: 7
W38_2015:
['1.42%', '11.42%', '10.11%', '3.72%', '10.61%', '12.37%', '22.46%']..., số giá trị độc nhất: 7
W38_2016:
['1.91%', '13.24%', '19.17%', '3.58%', '9.55%', '24.17%', '11.16%']..., số giá trị độc nhất: 7
W38_2017:
['2.72%', '18.47%', '15.54%', '2.45%', '13.58%', '7.75%', '16.88%']..., số giá trị độc nhất: 7
W38_2018:
['0.90%', '9.91%', '12.83%', '5.72%', '10.05%', '11.43%', '28.12%']..., số giá trị độc nhất: 7
W38_2019:
['0.38%', '23.90%', '8.34%', '3.67%', '7.78%', '9.26%', '20.41%']..., số giá trị độc nhất: 7
W38_2020:
['0.78%', '8.26%', '18.01%', '2.32%', '11.14%', '11.72%', '22.20%']..., số giá trị độc nhất: 7
W38_2021:
['1.51%', '11.84%', '18.45%', '3.35%', '8.18%', '7.08%', '22.93%']..., số giá trị độc nhất: 7
W38_2022:
['0.27%', '10.75%', '17.89%', '6.08%', '9.23%', '10.95%', '20.93%']..., số giá trị độc nhất: 7
W38_2023:
['0.19%', '11.34%', '12.70%', '2.70%', '8.46%', '5.97%', '34.29%']..., số giá trị độc nhất: 7
W38_2024:
['0.51%', '6.42%', '12.86%', '2.52%', '7.63%', '7.54%', '37.51%']..., số giá trị độc nhất: 7
W38_TRUNG BÌNH:
['+1.04%', '+13.72%', '+13.56%', '+3.88%', '+9.44%', '+10.12%', '+24.08%']..., số giá trị độc nhất: 7
W38_TRUNG VỊ:
['+0.78%', '+11.84%', '+12.86%', '+3.35%', '+9.41%', '+9.26%', '+22.46%']..., số giá trị độc nhất: 7
W39_2010:
['1.23%', '25.96%', '11.45%', '2.06%', '9.46%', '6.40%', '22.62%']..., số giá trị độc nhất: 7
W39_2011:
['0.66%', '15.55%', '11.01%', '1.84%', '7.57%', '9.06%', '27.55%']..., số giá trị độc nhất: 7
W39_2012:
['0.49%', '9.42%', '12.90%', '2.71%', '5.81%', '14.26%', '32.04%']..., số giá trị độc nhất: 7
W39_2013:
['3.26%', '12.66%', '13.12%', '2.70%', '10.17%', '6.48%', '14.42%']..., số giá trị độc nhất: 7
W39_2014:
['2.39%', '15.68%', '7.96%', '10.34%', '10.54%', '7.82%', '14.45%']..., số giá trị độc nhất: 7
W39_2015:
['1.78%', '14.39%', '13.87%', '4.65%', '13.19%', '11.40%', '18.04%']..., số giá trị độc nhất: 7
W39_2016:
['1.56%', '13.24%', '17.67%', '2.18%', '12.32%', '21.68%', '7.69%']..., số giá trị độc nhất: 7
W39_2017:
['3.43%', '19.23%', '13.27%', '3.49%', '12.28%', '9.23%', '16.07%']..., số giá trị độc nhất: 7
W39_2018:
['1.05%', '12.70%', '12.60%', '5.98%', '10.16%', '10.92%', '26.70%']..., số giá trị độc nhất: 7
W39_2019:
['0.78%', '23.13%', '8.23%', '2.38%', '9.39%', '9.82%', '21.56%']..., số giá trị độc nhất: 7
W39_2020:
['0.66%', '7.68%', '15.71%', '3.48%', '10.17%', '11.09%', '29.33%']..., số giá trị độc nhất: 7
W39_2021:
['1.03%', '11.15%', '17.40%', '3.44%', '8.30%', '7.26%', '24.93%']..., số giá trị độc nhất: 7
W39_2022:
['0.27%', '12.69%', '14.47%', '5.10%', '8.89%', '10.85%', '22.66%']..., số giá trị độc nhất: 7
W39_2023:
['0.25%', '11.56%', '11.60%', '3.47%', '8.19%', '6.14%', '34.65%']..., số giá trị độc nhất: 7
W39_2024:
['0.35%', '6.49%', '11.77%', '2.60%', '7.16%', '6.25%', '44.65%']..., số giá trị độc nhất: 7
W39_TRUNG BÌNH:
['+1.28%', '+14.10%', '+12.87%', '+3.76%', '+9.57%', '+9.91%', '+23.82%']..., số giá trị độc nhất: 7
W39_TRUNG VỊ:
['+1.03%', '+12.70%', '+12.90%', '+3.44%', '+9.46%', '+9.23%', '+22.66%']..., số giá trị độc nhất: 7
W3_2010:
['0.86%', '25.39%', '13.17%', '0.96%', '9.05%', '9.10%', '20.77%']..., số giá trị độc nhất: 7
W3_2011:
['0.43%', '20.07%', '10.79%', '3.01%', '10.74%', '7.61%', '25.22%']..., số giá trị độc nhất: 7
W3_2012:
['0.67%', '12.22%', '9.89%', '2.05%', '10.10%', '10.95%', '35.25%']..., số giá trị độc nhất: 7
W3_2013:
['0.19%', '15.54%', '12.00%', '2.50%', '8.56%', '7.00%', '29.15%']..., số giá trị độc nhất: 7
W3_2014:
['1.39%', '12.71%', '10.24%', '5.62%', '11.37%', '8.05%', '19.60%']..., số giá trị độc nhất: 7
W3_2015:
['1.18%', '12.07%', '10.16%', '6.98%', '14.92%', '10.51%', '21.95%']..., số giá trị độc nhất: 7
W3_2016:
['0.99%', '11.17%', '11.12%', '3.27%', '16.86%', '15.75%', '13.01%']..., số giá trị độc nhất: 7
W3_2017:
['1.12%', '22.04%', '17.14%', '1.63%', '6.80%', '16.20%', '14.41%']..., số giá trị độc nhất: 7
W3_2018:
['0.96%', '14.27%', '10.85%', '3.83%', '8.73%', '10.38%', '29.12%']..., số giá trị độc nhất: 7
W3_2019:
['0.82%', '18.38%', '10.93%', '2.86%', '10.79%', '10.38%', '21.29%']..., số giá trị độc nhất: 7
W3_2020:
['0.84%', '11.51%', '12.68%', '3.32%', '9.81%', '6.82%', '32.50%']..., số giá trị độc nhất: 7
W3_2021:
['1.24%', '9.07%', '10.89%', '3.45%', '6.43%', '10.14%', '33.06%']..., số giá trị độc nhất: 7
W3_2022:
['0.84%', '12.88%', '9.85%', '2.16%', '9.75%', '6.78%', '23.17%']..., số giá trị độc nhất: 7
W3_2023:
['0.25%', '8.92%', '15.94%', '3.93%', '6.61%', '7.77%', '37.47%']..., số giá trị độc nhất: 7
W3_2024:
['0.18%', '9.26%', '10.72%', '2.16%', '8.97%', '6.54%', '42.25%']..., số giá trị độc nhất: 7
W3_2025:
['0.73%', '13.53%', '10.66%', '1.77%', '6.75%', '7.34%', '33.58%']..., số giá trị độc nhất: 7
W3_TRUNG BÌNH:
['+0.79%', '+14.31%', '+11.69%', '+3.09%', '+9.76%', '+9.46%', '+26.99%']..., số giá trị độc nhất: 7
W3_TRUNG VỊ:
['+0.84%', '+12.80%', '+10.87%', '+2.93%', '+9.40%', '+8.57%', '+27.17%']..., số giá trị độc nhất: 7
W40_2010:
['1.25%', '23.94%', '17.22%', '2.47%', '8.69%', '9.12%', '16.79%']..., số giá trị độc nhất: 7
W40_2011:
['0.75%', '16.87%', '11.53%', '1.67%', '7.66%', '8.33%', '27.05%']..., số giá trị độc nhất: 7
W40_2012:
['0.53%', '7.96%', '16.20%', '3.91%', '6.69%', '13.18%', '30.69%']..., số giá trị độc nhất: 7
W40_2013:
['1.84%', '11.39%', '11.54%', '2.79%', '11.92%', '6.96%', '16.36%']..., số giá trị độc nhất: 7
W40_2014:
['2.73%', '14.12%', '8.51%', '6.20%', '10.26%', '10.04%', '18.06%']..., số giá trị độc nhất: 7
W40_2015:
['1.58%', '13.96%', '12.74%', '3.47%', '14.54%', '14.31%', '16.64%']..., số giá trị độc nhất: 7
W40_2016:
['1.66%', '14.65%', '19.46%', '4.73%', '13.19%', '18.29%', '9.29%']..., số giá trị độc nhất: 7
W40_2017:
['2.10%', '17.99%', '15.17%', '2.04%', '10.30%', '8.94%', '18.60%']..., số giá trị độc nhất: 7
W40_2018:
['0.95%', '10.62%', '14.14%', '7.24%', '9.04%', '10.31%', '28.75%']..., số giá trị độc nhất: 7
W40_2019:
['0.69%', '21.95%', '8.61%', '2.86%', '8.74%', '7.96%', '22.77%']..., số giá trị độc nhất: 7
W40_2020:
['0.48%', '8.11%', '17.47%', '2.98%', '7.48%', '11.96%', '27.88%']..., số giá trị độc nhất: 7
W40_2021:
['0.86%', '9.10%', '21.16%', '5.05%', '7.68%', '6.31%', '25.76%']..., số giá trị độc nhất: 7
W40_2022:
['0.27%', '12.33%', '13.58%', '4.25%', '8.84%', '10.93%', '23.17%']..., số giá trị độc nhất: 7
W40_2023:
['0.22%', '12.06%', '12.70%', '4.09%', '7.80%', '6.62%', '34.49%']..., số giá trị độc nhất: 7
W40_2024:
['0.28%', '6.15%', '12.53%', '2.65%', '7.63%', '6.47%', '43.87%']..., số giá trị độc nhất: 7
W40_TRUNG BÌNH:
['+1.08%', '+13.41%', '+14.17%', '+3.76%', '+9.36%', '+9.98%', '+24.01%']..., số giá trị độc nhất: 7
W40_TRUNG VỊ:
['+0.86%', '+12.33%', '+13.58%', '+3.47%', '+8.74%', '+9.12%', '+23.17%']..., số giá trị độc nhất: 7
W41_2010:
['0.99%', '24.79%', '15.55%', '2.51%', '8.84%', '9.84%', '17.41%']..., số giá trị độc nhất: 7
W41_2011:
['0.67%', '16.49%', '10.97%', '1.46%', '8.05%', '8.36%', '26.52%']..., số giá trị độc nhất: 7
W41_2012:
['0.47%', '11.32%', '15.74%', '2.35%', '8.73%', '8.82%', '30.30%']..., số giá trị độc nhất: 7
W41_2013:
['1.89%', '12.94%', '12.33%', '2.94%', '13.19%', '8.52%', '15.76%']..., số giá trị độc nhất: 7
W41_2014:
['2.84%', '14.76%', '11.00%', '6.13%', '10.36%', '11.42%', '13.28%']..., số giá trị độc nhất: 7
W41_2015:
['1.33%', '15.54%', '10.39%', '5.38%', '12.87%', '13.11%', '17.63%']..., số giá trị độc nhất: 7
W41_2016:
['1.46%', '13.48%', '25.83%', '4.05%', '11.46%', '15.29%', '8.85%']..., số giá trị độc nhất: 7
W41_2017:
['1.18%', '17.22%', '13.53%', '1.74%', '11.79%', '7.64%', '22.02%']..., số giá trị độc nhất: 7
W41_2018:
['0.72%', '9.76%', '13.23%', '5.83%', '10.16%', '10.18%', '29.58%']..., số giá trị độc nhất: 7
W41_2019:
['0.61%', '25.14%', '8.90%', '2.76%', '7.81%', '7.96%', '22.16%']..., số giá trị độc nhất: 7
W41_2020:
['0.45%', '9.09%', '14.94%', '2.87%', '7.17%', '13.00%', '27.86%']..., số giá trị độc nhất: 7
W41_2021:
['0.96%', '10.51%', '20.33%', '4.73%', '7.48%', '5.70%', '24.66%']..., số giá trị độc nhất: 7
W41_2022:
['0.27%', '9.24%', '14.96%', '4.56%', '8.18%', '9.15%', '28.21%']..., số giá trị độc nhất: 7
W41_2023:
['0.48%', '12.49%', '12.86%', '4.93%', '8.47%', '6.29%', '31.53%']..., số giá trị độc nhất: 7
W41_2024:
['0.38%', '6.84%', '11.33%', '2.76%', '8.74%', '9.50%', '42.31%']..., số giá trị độc nhất: 7
W41_TRUNG BÌNH:
['+0.98%', '+13.97%', '+14.13%', '+3.67%', '+9.55%', '+9.65%', '+23.87%']..., số giá trị độc nhất: 7
W41_TRUNG VỊ:
['+0.72%', '+12.94%', '+13.23%', '+2.94%', '+8.74%', '+9.15%', '+24.66%']..., số giá trị độc nhất: 7
W42_2010:
['0.62%', '24.84%', '15.84%', '2.11%', '8.33%', '11.13%', '16.42%']..., số giá trị độc nhất: 7
W42_2011:
['0.54%', '18.22%', '10.03%', '1.07%', '8.59%', '8.12%', '30.66%']..., số giá trị độc nhất: 7
W42_2012:
['0.24%', '10.18%', '14.18%', '2.17%', '9.43%', '31.69%']..., số giá trị độc nhất: 6
W42_2013:
['1.85%', '14.03%', '11.34%', '2.96%', '12.34%', '9.74%', '16.49%']..., số giá trị độc nhất: 7
W42_2014:
['2.47%', '13.11%', '10.94%', '9.91%', '9.74%', '10.85%', '16.30%']..., số giá trị độc nhất: 7
W42_2015:
['1.30%', '12.39%', '12.88%', '4.55%', '10.50%', '16.30%', '17.87%']..., số giá trị độc nhất: 7
W42_2016:
['1.42%', '15.37%', '21.72%', '3.59%', '13.31%', '16.03%', '7.61%']..., số giá trị độc nhất: 7
W42_2017:
['3.22%', '20.02%', '13.59%', '1.85%', '12.38%', '9.70%', '17.61%']..., số giá trị độc nhất: 7
W42_2018:
['0.62%', '12.99%', '11.70%', '5.54%', '9.71%', '12.41%', '26.26%']..., số giá trị độc nhất: 7
W42_2019:
['0.44%', '23.83%', '7.99%', '1.54%', '8.05%', '9.91%', '22.98%']..., số giá trị độc nhất: 7
W42_2020:
['0.29%', '6.70%', '14.67%', '2.06%', '6.57%', '13.35%', '33.36%']..., số giá trị độc nhất: 7
W42_2021:
['0.72%', '9.91%', '17.38%', '3.72%', '7.59%', '6.27%', '26.31%']..., số giá trị độc nhất: 7
W42_2022:
['0.21%', '7.42%', '15.73%', '4.73%', '8.60%', '8.99%', '30.89%']..., số giá trị độc nhất: 7
W42_2023:
['0.31%', '12.26%', '12.51%', '5.17%', '8.13%', '6.04%', '32.71%']..., số giá trị độc nhất: 7
W42_2024:
['0.42%', '6.45%', '9.80%', '2.37%', '8.38%', '8.39%', '41.78%']..., số giá trị độc nhất: 7
W42_TRUNG BÌNH:
['+0.98%', '+13.85%', '+13.35%', '+3.55%', '+9.44%', '+10.49%', '+24.60%']..., số giá trị độc nhất: 7
W42_TRUNG VỊ:
['+0.62%', '+12.99%', '+12.88%', '+2.96%', '+8.60%', '+9.91%', '+26.26%']..., số giá trị độc nhất: 7
W43_2010:
['0.43%', '26.92%', '14.08%', '2.40%', '8.50%', '10.42%', '17.42%']..., số giá trị độc nhất: 7
W43_2011:
['0.72%', '16.05%', '8.94%', '1.57%', '7.89%', '10.78%', '31.46%']..., số giá trị độc nhất: 7
W43_2012:
['0.90%', '10.64%', '18.12%', '2.15%', '8.92%', '12.73%', '22.64%']..., số giá trị độc nhất: 7
W43_2013:
['1.88%', '16.20%', '10.69%', '2.23%', '12.07%', '10.11%', '13.67%']..., số giá trị độc nhất: 7
W43_2014:
['3.86%', '10.44%', '11.06%', '7.51%', '13.34%', '11.57%', '16.26%']..., số giá trị độc nhất: 7
W43_2015:
['0.80%', '13.11%', '12.41%', '3.96%', '14.75%', '15.14%', '15.88%']..., số giá trị độc nhất: 7
W43_2016:
['1.61%', '17.24%', '18.39%', '2.92%', '12.55%', '15.42%', '9.60%']..., số giá trị độc nhất: 7
W43_2017:
['3.75%', '19.47%', '12.99%', '1.64%', '10.71%', '10.49%', '15.38%']..., số giá trị độc nhất: 7
W43_2018:
['0.62%', '11.31%', '11.89%', '5.09%', '9.58%', '14.19%', '27.55%']..., số giá trị độc nhất: 7
W43_2019:
['0.29%', '25.67%', '9.43%', '2.55%', '8.94%', '11.09%', '18.19%']..., số giá trị độc nhất: 7
W43_2020:
['0.34%', '5.31%', '14.22%', '1.52%', '7.66%', '11.12%', '36.08%']..., số giá trị độc nhất: 7
W43_2021:
['1.16%', '10.26%', '19.46%', '3.69%', '7.78%', '5.78%', '24.53%']..., số giá trị độc nhất: 7
W43_2022:
['0.19%', '7.85%', '16.98%', '6.72%', '9.49%', '9.31%', '26.79%']..., số giá trị độc nhất: 7
W43_2023:
['0.26%', '9.98%', '10.90%', '4.17%', '7.27%', '6.75%', '33.18%']..., số giá trị độc nhất: 7
W43_2024:
['0.47%', '6.32%', '9.30%', '1.57%', '6.86%', '8.03%', '40.65%']..., số giá trị độc nhất: 7
W43_TRUNG BÌNH:
['+1.15%', '+13.78%', '+13.26%', '+3.31%', '+9.75%', '+10.86%', '+23.29%']..., số giá trị độc nhất: 7
W43_TRUNG VỊ:
['+0.72%', '+11.31%', '+12.41%', '+2.55%', '+8.94%', '+10.78%', '+22.64%']..., số giá trị độc nhất: 7
W44_2010:
['0.56%', '26.30%', '12.77%', '2.27%', '9.27%', '10.23%', '17.46%']..., số giá trị độc nhất: 7
W44_2011:
['0.60%', '16.60%', '10.72%', '1.85%', '8.65%', '8.87%', '26.91%']..., số giá trị độc nhất: 7
W44_2012:
['0.31%', '11.05%', '15.29%', '1.93%', '8.11%', '8.88%', '34.40%']..., số giá trị độc nhất: 7
W44_2013:
['3.00%', '14.62%', '11.82%', '4.65%', '11.59%', '10.13%', '11.98%']..., số giá trị độc nhất: 7
W44_2014:
['2.91%', '10.81%', '9.37%', '6.45%', '10.34%', '12.97%', '20.02%']..., số giá trị độc nhất: 7
W44_2015:
['1.42%', '13.01%', '13.74%', '3.92%', '13.24%', '13.76%', '14.13%']..., số giá trị độc nhất: 7
W44_2016:
['1.23%', '19.08%', '17.82%', '2.13%', '13.10%', '15.00%', '9.33%']..., số giá trị độc nhất: 7
W44_2017:
['3.12%', '18.05%', '12.99%', '2.57%', '9.44%', '10.90%', '20.57%']..., số giá trị độc nhất: 7
W44_2018:
['0.57%', '11.57%', '12.52%', '4.70%', '9.63%', '14.46%', '26.40%']..., số giá trị độc nhất: 7
W44_2019:
['0.35%', '24.96%', '8.57%', '1.82%', '8.47%', '10.31%', '17.34%']..., số giá trị độc nhất: 7
W44_2020:
['0.31%', '5.23%', '16.90%', '1.59%', '8.43%', '11.98%', '32.45%']..., số giá trị độc nhất: 7
W44_2021:
['0.92%', '10.91%', '18.11%', '3.09%', '8.38%', '6.17%', '22.93%']..., số giá trị độc nhất: 7
W44_2022:
['0.32%', '7.01%', '15.78%', '4.34%', '8.97%', '8.36%', '31.15%']..., số giá trị độc nhất: 7
W44_2023:
['0.28%', '10.23%', '11.28%', '3.45%', '8.43%', '5.49%', '34.23%']..., số giá trị độc nhất: 7
W44_2024:
['0.37%', '8.95%', '9.88%', '1.52%', '9.81%', '9.31%', '33.06%']..., số giá trị độc nhất: 7
W44_TRUNG BÌNH:
['+1.08%', '+13.89%', '+13.17%', '+3.09%', '+9.72%', '+10.45%', '+23.49%']..., số giá trị độc nhất: 7
W44_TRUNG VỊ:
['+0.57%', '+11.57%', '+12.77%', '+2.57%', '+9.27%', '+10.23%', '+22.93%']..., số giá trị độc nhất: 7
W45_2010:
['0.41%', '23.52%', '15.63%', '2.75%', '9.97%', '9.85%', '17.80%']..., số giá trị độc nhất: 7
W45_2011:
['1.05%', '15.89%', '10.11%', '1.87%', '7.32%', '6.40%', '34.98%']..., số giá trị độc nhất: 7
W45_2012:
['0.18%', '8.94%', '15.12%', '3.14%', '6.07%', '10.51%', '37.09%']..., số giá trị độc nhất: 7
W45_2013:
['2.53%', '18.38%', '10.51%', '2.04%', '10.20%', '9.32%', '13.94%']..., số giá trị độc nhất: 7
W45_2014:
['3.58%', '12.23%', '10.77%', '5.94%', '12.55%', '14.21%', '13.61%']..., số giá trị độc nhất: 7
W45_2015:
['1.17%', '14.66%', '13.39%', '2.89%', '11.33%', '17.50%', '12.41%']..., số giá trị độc nhất: 7
W45_2016:
['1.12%', '20.60%', '15.95%', '2.89%', '10.50%', '15.53%', '6.68%']..., số giá trị độc nhất: 7
W45_2017:
['1.07%', '18.25%', '11.41%', '4.05%', '8.35%', '19.67%', '14.84%']..., số giá trị độc nhất: 7
W45_2018:
['1.05%', '12.18%', '10.74%', '5.22%', '9.94%', '17.26%', '23.44%']..., số giá trị độc nhất: 7
W45_2019:
['0.51%', '23.03%', '9.47%', '2.61%', '7.47%', '8.95%', '21.43%']..., số giá trị độc nhất: 7
W45_2020:
['0.35%', '5.89%', '21.19%', '1.00%', '10.17%', '10.20%', '26.69%']..., số giá trị độc nhất: 7
W45_2021:
['0.78%', '9.99%', '15.75%', '2.79%', '8.24%', '6.68%', '28.04%']..., số giá trị độc nhất: 7
W45_2022:
['0.20%', '6.06%', '17.37%', '3.61%', '8.33%', '7.50%', '35.43%']..., số giá trị độc nhất: 7
W45_2023:
['0.20%', '10.79%', '11.59%', '2.97%', '7.94%', '5.73%', '32.89%']..., số giá trị độc nhất: 7
W45_2024:
['0.37%', '9.17%', '10.22%', '1.44%', '7.74%', '8.65%', '31.65%']..., số giá trị độc nhất: 7
W45_TRUNG BÌNH:
['+0.97%', '+13.97%', '+13.28%', '+3.01%', '+9.07%', '+11.20%', '+23.40%']..., số giá trị độc nhất: 7
W45_TRUNG VỊ:
['+0.78%', '+12.23%', '+11.59%', '+2.89%', '+8.35%', '+9.85%', '+23.44%']..., số giá trị độc nhất: 7
W46_2010:
['0.45%', '21.99%', '11.88%', '5.44%', '9.73%', '8.03%', '20.43%']..., số giá trị độc nhất: 7
W46_2011:
['1.06%', '15.35%', '9.70%', '1.47%', '7.26%', '8.88%', '33.21%']..., số giá trị độc nhất: 7
W46_2012:
['0.21%', '12.37%', '13.05%', '2.24%', '6.11%', '10.10%', '37.17%']..., số giá trị độc nhất: 7
W46_2013:
['1.40%', '17.00%', '9.33%', '2.08%', '10.56%', '9.75%', '13.70%']..., số giá trị độc nhất: 7
W46_2014:
['3.32%', '11.46%', '8.66%', '5.25%', '17.65%', '12.98%', '11.92%']..., số giá trị độc nhất: 7
W46_2015:
['2.58%', '13.85%', '12.86%', '2.45%', '13.92%', '14.39%', '12.00%']..., số giá trị độc nhất: 7
W46_2016:
['0.90%', '17.77%', '24.12%', '2.41%', '10.57%', '17.26%', '7.30%']..., số giá trị độc nhất: 7
W46_2017:
['1.81%', '16.79%', '12.33%', '2.92%', '8.84%', '11.92%', '15.56%']..., số giá trị độc nhất: 7
W46_2018:
['0.58%', '13.28%', '11.87%', '5.21%', '10.01%', '16.24%', '23.57%']..., số giá trị độc nhất: 7
W46_2019:
['1.07%', '23.98%', '9.26%', '1.88%', '8.80%', '9.40%', '19.38%']..., số giá trị độc nhất: 7
W46_2020:
['0.37%', '7.83%', '18.14%', '3.15%', '9.00%', '9.62%', '27.97%']..., số giá trị độc nhất: 7
W46_2021:
['0.94%', '10.40%', '16.32%', '2.76%', '9.24%', '8.10%', '26.77%']..., số giá trị độc nhất: 7
W46_2022:
['0.25%', '6.39%', '15.74%', '4.19%', '7.58%', '8.15%', '34.79%']..., số giá trị độc nhất: 7
W46_2023:
['0.23%', '9.34%', '12.28%', '2.74%', '7.04%', '6.39%', '33.48%']..., số giá trị độc nhất: 7
W46_2024:
['0.33%', '9.47%', '13.55%', '2.19%', '7.65%', '7.75%', '31.74%']..., số giá trị độc nhất: 7
W46_TRUNG BÌNH:
['+1.03%', '+13.82%', '+13.27%', '+3.09%', '+9.60%', '+10.60%', '+23.27%']..., số giá trị độc nhất: 7
W46_TRUNG VỊ:
['+0.90%', '+13.28%', '+12.33%', '+2.74%', '+9.00%', '+9.62%', '+23.57%']..., số giá trị độc nhất: 7
W47_2010:
['0.52%', '22.13%', '13.38%', '3.12%', '9.74%', '9.04%', '19.80%']..., số giá trị độc nhất: 7
W47_2011:
['1.07%', '14.00%', '9.50%', '1.78%', '6.57%', '9.67%', '34.19%']..., số giá trị độc nhất: 7
W47_2012:
['0.24%', '13.05%', '13.32%', '2.38%', '8.10%', '16.18%', '28.05%']..., số giá trị độc nhất: 7
W47_2013:
['1.12%', '17.89%', '11.83%', '3.08%', '12.15%', '6.86%', '14.61%']..., số giá trị độc nhất: 7
W47_2014:
['3.54%', '10.70%', '10.02%', '4.82%', '21.54%', '10.79%', '9.99%']..., số giá trị độc nhất: 7
W47_2015:
['3.82%', '12.18%', '12.31%', '1.66%', '15.62%', '20.44%', '7.93%']..., số giá trị độc nhất: 7
W47_2016:
['0.93%', '22.80%', '20.70%', '2.16%', '9.33%', '18.69%', '5.66%']..., số giá trị độc nhất: 7
W47_2017:
['1.86%', '15.85%', '12.03%', '4.54%', '7.42%', '10.25%', '19.61%']..., số giá trị độc nhất: 7
W47_2018:
['0.66%', '14.46%', '11.29%', '4.94%', '9.09%', '12.34%', '25.29%']..., số giá trị độc nhất: 7
W47_2019:
['0.74%', '24.23%', '8.39%', '1.92%', '7.41%', '8.46%', '16.62%']..., số giá trị độc nhất: 7
W47_2020:
['0.27%', '8.45%', '19.33%', '3.16%', '8.36%', '9.35%', '27.94%']..., số giá trị độc nhất: 7
W47_2021:
['0.97%', '11.51%', '16.24%', '3.07%', '9.81%', '6.96%', '25.37%']..., số giá trị độc nhất: 7
W47_2022:
['0.30%', '5.95%', '15.38%', '4.18%', '7.76%', '7.68%', '36.44%']..., số giá trị độc nhất: 7
W47_2023:
['0.22%', '10.07%', '11.24%', '3.04%', '7.35%', '6.06%', '32.34%']..., số giá trị độc nhất: 7
W47_2024:
['0.35%', '9.02%', '10.44%', '1.41%', '8.60%', '7.29%', '29.84%']..., số giá trị độc nhất: 7
W47_TRUNG BÌNH:
['+1.11%', '+14.15%', '+13.03%', '+3.02%', '+9.92%', '+10.67%', '+22.25%']..., số giá trị độc nhất: 7
W47_TRUNG VỊ:
['+0.74%', '+13.05%', '+12.03%', '+3.07%', '+8.60%', '+9.35%', '+25.29%']..., số giá trị độc nhất: 7
W48_2010:
['0.53%', '25.58%', '14.86%', '4.13%', '11.30%', '6.95%', '18.09%']..., số giá trị độc nhất: 7
W48_2011:
['0.37%', '14.14%', '9.57%', '1.35%', '6.24%', '12.86%', '36.27%']..., số giá trị độc nhất: 7
W48_2012:
['0.30%', '15.67%', '18.46%', '2.48%', '7.48%', '13.08%', '25.39%']..., số giá trị độc nhất: 7
W48_2013:
['1.34%', '16.30%', '10.66%', '2.43%', '12.00%', '10.20%', '14.30%']..., số giá trị độc nhất: 7
W48_2014:
['3.15%', '11.95%', '10.97%', '8.19%', '14.89%', '9.53%', '11.85%']..., số giá trị độc nhất: 7
W48_2015:
['1.97%', '10.82%', '14.35%', '1.53%', '17.85%', '19.08%', '10.48%']..., số giá trị độc nhất: 7
W48_2016:
['2.16%', '28.88%', '15.85%', '2.18%', '9.23%', '18.85%', '5.84%']..., số giá trị độc nhất: 7
W48_2017:
['1.41%', '15.10%', '12.31%', '3.19%', '8.21%', '8.14%', '19.58%']..., số giá trị độc nhất: 7
W48_2018:
['0.66%', '15.43%', '11.64%', '3.81%', '8.31%', '15.77%', '25.42%']..., số giá trị độc nhất: 7
W48_2019:
['0.80%', '29.11%', '7.48%', '1.69%', '8.46%', '7.43%', '13.73%']..., số giá trị độc nhất: 7
W48_2020:
['0.31%', '7.12%', '23.75%', '2.69%', '7.33%', '8.30%', '26.46%']..., số giá trị độc nhất: 7
W48_2021:
['0.83%', '9.13%', '11.31%', '1.80%', '8.41%', '6.37%', '38.41%']..., số giá trị độc nhất: 7
W48_2022:
['0.25%', '5.82%', '13.65%', '3.06%', '7.44%', '7.40%', '31.20%']..., số giá trị độc nhất: 7
W48_2023:
['0.22%', '9.46%', '12.01%', '3.72%', '6.40%', '8.00%', '32.99%']..., số giá trị độc nhất: 7
W48_2024:
['0.71%', '8.25%', '12.11%', '1.45%', '9.49%', '7.58%', '27.12%']..., số giá trị độc nhất: 7
W48_TRUNG BÌNH:
['+1.00%', '+14.85%', '+13.26%', '+2.91%', '+9.54%', '+10.64%', '+22.47%']..., số giá trị độc nhất: 7
W48_TRUNG VỊ:
['+0.71%', '+14.14%', '+12.11%', '+2.48%', '+8.41%', '+8.30%', '+25.39%']..., số giá trị độc nhất: 7
W49_2010:
['0.80%', '25.41%', '11.91%', '2.91%', '9.78%', '5.73%', '20.56%']..., số giá trị độc nhất: 7
W49_2011:
['0.60%', '13.35%', '8.42%', '1.31%', '7.40%', '10.71%', '37.77%']..., số giá trị độc nhất: 7
W49_2012:
['0.26%', '15.15%', '15.22%', '2.11%', '7.96%', '9.94%', '29.71%']..., số giá trị độc nhất: 7
W49_2013:
['1.17%', '16.47%', '10.38%', '1.83%', '11.85%', '8.49%', '14.57%']..., số giá trị độc nhất: 7
W49_2014:
['2.23%', '13.20%', '12.44%', '7.59%', '15.30%', '9.39%', '12.56%']..., số giá trị độc nhất: 7
W49_2015:
['1.42%', '9.90%', '11.81%', '1.88%', '16.03%', '21.59%', '13.95%']..., số giá trị độc nhất: 7
W49_2016:
['1.70%', '23.58%', '16.19%', '3.18%', '8.83%', '23.67%', '6.64%']..., số giá trị độc nhất: 7
W49_2017:
['1.60%', '16.64%', '13.39%', '3.32%', '9.11%', '11.68%', '20.32%']..., số giá trị độc nhất: 7
W49_2018:
['0.58%', '13.11%', '10.43%', '4.63%', '7.99%', '10.81%', '33.77%']..., số giá trị độc nhất: 7
W49_2019:
['0.72%', '27.52%', '9.54%', '1.89%', '8.02%', '10.74%', '11.71%']..., số giá trị độc nhất: 7
W49_2020:
['0.42%', '8.70%', '15.54%', '2.60%', '7.13%', '8.23%', '30.81%']..., số giá trị độc nhất: 7
W49_2021:
['1.03%', '12.10%', '11.30%', '1.61%', '8.87%', '6.19%', '32.64%']..., số giá trị độc nhất: 7
W49_2022:
['0.23%', '5.69%', '13.43%', '3.12%', '6.35%', '6.40%', '32.01%']..., số giá trị độc nhất: 7
W49_2023:
['0.17%', '9.43%', '11.97%', '3.11%', '7.92%', '7.04%', '33.34%']..., số giá trị độc nhất: 7
W49_2024:
['0.69%', '8.69%', '14.10%', '1.62%', '7.73%', '6.62%', '31.42%']..., số giá trị độc nhất: 7
W49_TRUNG BÌNH:
['+0.91%', '+14.60%', '+12.41%', '+2.85%', '+9.35%', '+10.48%', '+24.12%']..., số giá trị độc nhất: 7
W49_TRUNG VỊ:
['+0.72%', '+13.20%', '+11.97%', '+2.60%', '+8.02%', '+9.39%', '+29.71%']..., số giá trị độc nhất: 7
W4_2010:
['0.84%', '25.30%', '10.27%', '1.18%', '7.77%', '10.62%', '23.25%']..., số giá trị độc nhất: 7
W4_2011:
['0.48%', '17.13%', '16.11%', '2.63%', '9.99%', '8.50%', '23.36%']..., số giá trị độc nhất: 7
W4_2013:
['0.22%', '13.32%', '11.82%', '1.82%', '9.08%', '7.24%', '29.27%']..., số giá trị độc nhất: 7
W4_2014:
['1.20%', '11.35%', '11.32%', '5.87%', '9.56%', '8.62%', '23.38%']..., số giá trị độc nhất: 7
W4_2015:
['1.42%', '12.85%', '11.44%', '4.60%', '15.84%', '8.62%', '21.75%']..., số giá trị độc nhất: 7
W4_2016:
['1.99%', '11.24%', '13.56%', '3.82%', '14.27%', '14.78%', '14.48%']..., số giá trị độc nhất: 7
W4_2017:
['1.07%', '22.76%', '12.47%', '1.99%', '7.45%', '22.21%', '13.37%']..., số giá trị độc nhất: 7
W4_2018:
['1.61%', '12.46%', '11.83%', '5.31%', '7.31%', '8.04%', '33.18%']..., số giá trị độc nhất: 7
W4_2019:
['0.64%', '15.98%', '9.51%', '3.79%', '9.16%', '12.33%', '29.32%']..., số giá trị độc nhất: 7
W4_2020:
['0.69%', '8.32%', '11.65%', '3.64%', '11.51%', '6.87%', '31.07%']..., số giá trị độc nhất: 7
W4_2021:
['1.34%', '8.75%', '12.22%', '3.50%', '6.79%', '9.29%', '32.31%']..., số giá trị độc nhất: 7
W4_2022:
['0.63%', '11.07%', '10.57%', '3.97%', '8.76%', '6.57%', '30.71%']..., số giá trị độc nhất: 7
W4_2023:
['0.19%', '10.07%', '13.45%', '4.35%', '7.60%', '7.79%', '36.53%']..., số giá trị độc nhất: 7
W4_2024:
['0.21%', '9.74%', '13.88%', '2.28%', '6.82%', '7.47%', '38.60%']..., số giá trị độc nhất: 7
W4_2025:
['0.64%', '10.65%', '9.73%', '2.25%', '8.02%', '7.86%', '36.53%']..., số giá trị độc nhất: 7
W4_TRUNG BÌNH:
['+0.88%', '+13.40%', '+11.99%', '+3.40%', '+9.33%', '+9.79%', '+27.81%']..., số giá trị độc nhất: 7
W4_TRUNG VỊ:
['+0.69%', '+11.35%', '+11.82%', '+3.64%', '+8.76%', '+8.50%', '+29.32%']..., số giá trị độc nhất: 7
W50_2010:
['0.46%', '22.88%', '11.46%', '2.13%', '9.13%', '5.10%', '23.71%']..., số giá trị độc nhất: 7
W50_2011:
['0.44%', '15.20%', '9.16%', '1.19%', '7.95%', '9.55%', '34.23%']..., số giá trị độc nhất: 7
W50_2012:
['0.29%', '14.21%', '11.66%', '2.11%', '7.17%', '10.57%', '31.03%']..., số giá trị độc nhất: 7
W50_2013:
['1.24%', '16.39%', '9.55%', '3.87%', '11.07%', '11.51%', '13.06%']..., số giá trị độc nhất: 7
W50_2014:
['1.64%', '11.78%', '12.51%', '10.14%', '14.86%', '10.62%', '11.47%']..., số giá trị độc nhất: 7
W50_2015:
['1.00%', '9.22%', '12.37%', '3.82%', '17.44%', '19.82%', '12.56%']..., số giá trị độc nhất: 7
W50_2016:
['1.35%', '21.75%', '17.17%', '2.18%', '12.20%', '19.59%', '7.11%']..., số giá trị độc nhất: 7
W50_2017:
['1.92%', '18.94%', '11.62%', '4.23%', '8.60%', '12.85%', '17.23%']..., số giá trị độc nhất: 7
W50_2018:
['0.61%', '15.82%', '10.91%', '4.50%', '8.66%', '10.58%', '29.59%']..., số giá trị độc nhất: 7
W50_2019:
['1.16%', '28.28%', '11.26%', '1.79%', '9.43%', '9.83%', '13.30%']..., số giá trị độc nhất: 7
W50_2020:
['0.66%', '9.87%', '17.40%', '2.38%', '7.12%', '9.49%', '28.58%']..., số giá trị độc nhất: 7
W50_2021:
['0.70%', '11.59%', '12.75%', '2.12%', '7.63%', '6.87%', '27.83%']..., số giá trị độc nhất: 7
W50_2022:
['0.21%', '6.79%', '12.01%', '2.92%', '5.84%', '6.66%', '35.77%']..., số giá trị độc nhất: 7
W50_2023:
['0.24%', '8.99%', '12.09%', '2.46%', '7.43%', '9.41%', '31.35%']..., số giá trị độc nhất: 7
W50_2024:
['0.80%', '8.80%', '13.91%', '1.97%', '7.87%', '7.35%', '31.89%']..., số giá trị độc nhất: 7
W50_TRUNG BÌNH:
['+0.85%', '+14.70%', '+12.39%', '+3.19%', '+9.49%', '+10.65%', '+23.25%']..., số giá trị độc nhất: 7
W50_TRUNG VỊ:
['+0.70%', '+14.21%', '+12.01%', '+2.38%', '+8.60%', '+9.83%', '+27.83%']..., số giá trị độc nhất: 7
W51_2010:
['0.39%', '19.36%', '10.26%', '2.09%', '7.70%', '5.46%', '31.00%']..., số giá trị độc nhất: 7
W51_2011:
['0.59%', '12.49%', '10.57%', '1.81%', '7.94%', '9.26%', '33.72%']..., số giá trị độc nhất: 7
W51_2012:
['0.28%', '12.61%', '12.56%', '4.41%', '4.35%', '8.54%', '35.55%']..., số giá trị độc nhất: 7
W51_2013:
['1.93%', '18.66%', '10.05%', '4.64%', '9.00%', '9.80%', '13.44%']..., số giá trị độc nhất: 7
W51_2014:
['1.22%', '10.10%', '10.26%', '9.21%', '12.83%', '11.13%', '20.00%']..., số giá trị độc nhất: 7
W51_2015:
['0.58%', '10.89%', '13.41%', '2.85%', '14.34%', '17.15%', '17.72%']..., số giá trị độc nhất: 7
W51_2016:
['0.96%', '21.24%', '14.76%', '1.96%', '9.53%', '20.66%', '8.69%']..., số giá trị độc nhất: 7
W51_2017:
['1.84%', '17.70%', '12.96%', '6.34%', '9.75%', '11.27%', '17.21%']..., số giá trị độc nhất: 7
W51_2018:
['0.68%', '15.89%', '11.57%', '4.23%', '10.47%', '12.38%', '25.25%']..., số giá trị độc nhất: 7
W51_2019:
['1.60%', '30.25%', '9.07%', '1.80%', '9.01%', '10.08%', '14.01%']..., số giá trị độc nhất: 7
W51_2020:
['0.65%', '8.58%', '13.49%', '2.64%', '7.12%', '10.50%', '29.49%']..., số giá trị độc nhất: 7
W51_2021:
['1.05%', '13.95%', '12.04%', '1.55%', '8.51%', '6.81%', '22.37%']..., số giá trị độc nhất: 7
W51_2022:
['0.13%', '7.93%', '12.78%', '2.92%', '6.34%', '7.95%', '36.75%']..., số giá trị độc nhất: 7
W51_2023:
['0.39%', '9.09%', '10.99%', '1.78%', '9.07%', '10.28%', '35.42%']..., số giá trị độc nhất: 7
W51_2024:
['0.74%', '9.36%', '12.69%', '2.42%', '9.61%', '8.45%', '29.00%']..., số giá trị độc nhất: 7
W51_TRUNG BÌNH:
['+0.87%', '+14.54%', '+11.83%', '+3.38%', '+9.04%', '+10.65%', '+24.64%']..., số giá trị độc nhất: 7
W51_TRUNG VỊ:
['+0.68%', '+12.61%', '+12.04%', '+2.64%', '+9.01%', '+10.08%', '+25.25%']..., số giá trị độc nhất: 7
W52_2010:
['0.58%', '18.32%', '9.08%', '2.00%', '7.94%', '6.05%', '30.38%']..., số giá trị độc nhất: 7
W52_2011:
['0.30%', '13.05%', '7.99%', '1.92%', '9.34%', '9.04%', '33.77%']..., số giá trị độc nhất: 7
W52_2012:
['0.25%', '13.07%', '13.10%', '1.83%', '8.82%', '6.40%', '35.41%']..., số giá trị độc nhất: 7
W52_2013:
['2.62%', '16.39%', '8.97%', '4.87%', '11.66%', '6.99%', '10.73%']..., số giá trị độc nhất: 7
W52_2014:
['3.29%', '12.18%', '9.00%', '9.51%', '13.63%', '11.75%', '17.43%']..., số giá trị độc nhất: 7
W52_2015:
['0.67%', '9.26%', '9.52%', '2.56%', '33.82%', '16.82%', '10.17%']..., số giá trị độc nhất: 7
W52_2016:
['0.71%', '21.16%', '18.71%', '2.01%', '10.49%', '20.99%', '7.50%']..., số giá trị độc nhất: 7
W52_2017:
['2.07%', '17.03%', '11.92%', '4.94%', '10.58%', '9.51%', '23.49%']..., số giá trị độc nhất: 7
W52_2018:
['0.91%', '19.91%', '11.65%', '3.89%', '9.10%', '10.05%', '22.27%']..., số giá trị độc nhất: 7
W52_2019:
['1.94%', '26.49%', '8.66%', '1.49%', '11.23%', '8.85%', '15.00%']..., số giá trị độc nhất: 7
W52_2020:
['1.00%', '8.77%', '14.07%', '2.67%', '7.80%', '8.88%', '31.84%']..., số giá trị độc nhất: 7
W52_2021:
['1.00%', '14.01%', '11.83%', '1.70%', '7.92%', '9.37%', '21.20%']..., số giá trị độc nhất: 7
W52_2022:
['0.21%', '6.86%', '14.16%', '3.01%', '6.94%', '7.93%', '37.69%']..., số giá trị độc nhất: 7
W52_2023:
['0.30%', '11.44%', '12.74%', '1.74%', '8.37%', '9.83%', '30.42%']..., số giá trị độc nhất: 7
W52_2024:
['0.85%', '11.36%', '12.14%', '1.91%', '8.19%', '7.71%', '33.08%']..., số giá trị độc nhất: 7
W52_TRUNG BÌNH:
['+1.11%', '+14.62%', '+11.57%', '+3.07%', '+11.06%', '+10.01%', '+24.03%']..., số giá trị độc nhất: 7
W52_TRUNG VỊ:
['+0.85%', '+13.07%', '+11.83%', '+2.01%', '+9.10%', '+9.04%', '+23.49%']..., số giá trị độc nhất: 7
W53_2010:
['0.68%', '21.17%', '9.33%', '2.31%', '10.28%', '6.69%', '27.31%']..., số giá trị độc nhất: 7
W53_2011:
['0.55%', '13.25%', '8.27%', '2.98%', '7.73%', '9.79%', '38.64%']..., số giá trị độc nhất: 7
W53_2013:
['2.50%', '14.87%', '8.69%', '3.83%', '11.80%', '8.11%', '14.78%']..., số giá trị độc nhất: 7
W53_2014:
['2.95%', '12.79%', '9.01%', '5.14%', '13.56%', '11.34%', '18.12%']..., số giá trị độc nhất: 7
W53_2015:
['0.95%', '10.83%', '11.59%', '1.50%', '16.44%', '18.78%', '14.28%']..., số giá trị độc nhất: 7
W53_2016:
['0.86%', '17.88%', '17.74%', '1.39%', '10.86%', '18.40%', '7.75%']..., số giá trị độc nhất: 7
W53_2019:
['2.70%', '15.78%', '10.46%', '2.25%', '11.31%', '7.83%', '19.62%']..., số giá trị độc nhất: 7
W53_2020:
['1.66%', '9.63%', '13.14%', '3.96%', '7.55%', '9.37%', '27.48%']..., số giá trị độc nhất: 7
W53_2021:
['1.10%', '14.25%', '10.95%', '2.09%', '8.65%', '10.53%', '23.51%']..., số giá trị độc nhất: 7
W53_2022:
['0.31%', '7.34%', '12.29%', '3.05%', '7.23%', '9.08%', '35.49%']..., số giá trị độc nhất: 7
W53_2024:
['0.52%', '9.05%', '10.85%', '1.91%', '8.09%', '8.17%', '36.04%']..., số giá trị độc nhất: 7
W53_TRUNG BÌNH:
['+1.34%', '+13.35%', '+11.12%', '+2.77%', '+10.32%', '+10.73%', '+23.91%']..., số giá trị độc nhất: 7
W53_TRUNG VỊ:
['+0.95%', '+13.25%', '+10.85%', '+2.31%', '+10.28%', '+9.37%', '+23.51%']..., số giá trị độc nhất: 7
W5_2010:
['1.00%', '22.69%', '13.70%', '1.78%', '7.58%', '10.46%', '22.05%']..., số giá trị độc nhất: 7
W5_2011:
['0.55%', '16.53%', '12.39%', '2.73%', '9.86%', '9.77%', '26.46%']..., số giá trị độc nhất: 7
W5_2012:
['0.40%', '12.07%', '9.87%', '3.02%', '8.50%', '11.33%', '36.44%']..., số giá trị độc nhất: 7
W5_2013:
['0.20%', '12.88%', '13.21%', '2.10%', '7.65%', '7.16%', '31.86%']..., số giá trị độc nhất: 7
W5_2014:
['1.28%', '11.81%', '10.27%', '4.33%', '11.31%', '8.20%', '24.12%']..., số giá trị độc nhất: 7
W5_2015:
['1.60%', '10.23%', '10.58%', '4.03%', '14.82%', '11.60%', '23.03%']..., số giá trị độc nhất: 7
W5_2016:
['1.35%', '11.42%', '11.75%', '4.13%', '14.12%', '14.96%', '14.18%']..., số giá trị độc nhất: 7
W5_2017:
['0.87%', '20.83%', '18.10%', '1.62%', '7.40%', '19.55%', '13.59%']..., số giá trị độc nhất: 7
W5_2018:
['1.02%', '14.16%', '9.35%', '5.63%', '6.60%', '8.50%', '31.52%']..., số giá trị độc nhất: 7
W5_2019:
['0.33%', '12.93%', '14.74%', '3.83%', '9.58%', '10.78%', '25.36%']..., số giá trị độc nhất: 7
W5_2020:
['1.35%', '7.39%', '11.34%', '3.21%', '11.28%', '8.39%', '34.12%']..., số giá trị độc nhất: 7
W5_2021:
['0.43%', '8.98%', '14.94%', '2.96%', '7.28%', '8.73%', '29.37%']..., số giá trị độc nhất: 7
W5_2022:
['0.43%', '11.35%', '9.28%', '3.79%', '7.41%', '5.86%', '35.04%']..., số giá trị độc nhất: 7
W5_2023:
['0.23%', '9.60%', '15.12%', '3.63%', '7.70%', '7.65%', '34.56%']..., số giá trị độc nhất: 7
W5_2024:
['0.20%', '10.95%', '12.04%', '1.90%', '8.16%', '7.03%', '35.38%']..., số giá trị độc nhất: 7
W5_TRUNG BÌNH:
['+0.75%', '+12.92%', '+12.44%', '+3.24%', '+9.28%', '+10.00%', '+27.81%']..., số giá trị độc nhất: 7
W5_TRUNG VỊ:
['+0.55%', '+11.81%', '+12.04%', '+3.21%', '+8.16%', '+8.73%', '+29.37%']..., số giá trị độc nhất: 7
W6_2010:
['0.76%', '22.51%', '15.24%', '1.64%', '7.32%', '11.97%', '18.90%']..., số giá trị độc nhất: 7
W6_2012:
['0.24%', '12.81%', '8.67%', '2.94%', '7.29%', '8.26%', '41.84%']..., số giá trị độc nhất: 7
W6_2013:
['0.18%', '14.82%', '12.20%', '2.27%', '9.00%', '6.34%', '27.51%']..., số giá trị độc nhất: 7
W6_2014:
['1.07%', '14.25%', '9.94%', '4.30%', '9.59%', '10.50%', '19.07%']..., số giá trị độc nhất: 7
W6_2015:
['3.39%', '10.69%', '10.36%', '5.59%', '16.14%', '8.05%', '24.55%']..., số giá trị độc nhất: 7
W6_2016:
['1.16%', '11.99%', '10.89%', '3.44%', '16.25%', '18.29%', '12.53%']..., số giá trị độc nhất: 7
W6_2017:
['0.82%', '22.85%', '20.30%', '2.49%', '7.89%', '14.97%', '11.42%']..., số giá trị độc nhất: 7
W6_2018:
['0.97%', '12.47%', '11.93%', '4.09%', '7.52%', '8.51%', '31.09%']..., số giá trị độc nhất: 7
W6_2020:
['1.28%', '7.73%', '10.22%', '3.07%', '9.03%', '9.42%', '35.52%']..., số giá trị độc nhất: 7
W6_2021:
['0.75%', '9.11%', '14.45%', '3.01%', '6.88%', '7.48%', '30.36%']..., số giá trị độc nhất: 7
W6_2023:
['0.42%', '8.33%', '15.63%', '4.25%', '7.71%', '7.96%', '33.89%']..., số giá trị độc nhất: 7
W6_2024:
['0.14%', '10.36%', '10.53%', '2.67%', '6.59%', '7.94%', '41.97%']..., số giá trị độc nhất: 7
W6_2025:
['0.49%', '12.16%', '10.42%', '1.64%', '7.97%', '7.87%', '35.51%']..., số giá trị độc nhất: 7
W6_TRUNG BÌNH:
['+0.90%', '+13.08%', '+12.37%', '+3.18%', '+9.17%', '+9.81%', '+28.01%']..., số giá trị độc nhất: 7
W6_TRUNG VỊ:
['+0.76%', '+12.16%', '+10.89%', '+3.01%', '+7.89%', '+8.26%', '+30.36%']..., số giá trị độc nhất: 7
W7_2010:
['0.86%', '19.36%', '14.04%', '1.80%', '6.52%', '14.79%', '22.40%']..., số giá trị độc nhất: 7
W7_2011:
['0.64%', '15.21%', '11.15%', '5.67%', '9.67%', '6.46%', '26.04%']..., số giá trị độc nhất: 7
W7_2012:
['0.69%', '12.77%', '10.70%', '3.01%', '6.86%', '8.48%', '40.01%']..., số giá trị độc nhất: 7
W7_2014:
['1.09%', '16.32%', '9.52%', '3.39%', '11.92%', '9.48%', '20.32%']..., số giá trị độc nhất: 7
W7_2015:
['4.25%', '11.72%', '9.11%', '4.02%', '14.49%', '9.45%', '20.39%']..., số giá trị độc nhất: 7
W7_2017:
['1.19%', '22.95%', '19.53%', '3.59%', '8.70%', '12.00%', '11.42%']..., số giá trị độc nhất: 7
W7_2018:
['0.75%', '14.95%', '12.00%', '2.97%', '5.43%', '10.74%', '32.59%']..., số giá trị độc nhất: 7
W7_2019:
['0.50%', '12.92%', '12.83%', '3.74%', '10.11%', '12.44%', '25.53%']..., số giá trị độc nhất: 7
W7_2020:
['1.29%', '9.09%', '11.43%', '2.18%', '9.53%', '7.76%', '37.97%']..., số giá trị độc nhất: 7
W7_2021:
['0.53%', '7.57%', '13.68%', '4.02%', '6.23%', '7.32%', '33.30%']..., số giá trị độc nhất: 7
W7_2022:
['0.38%', '10.40%', '12.72%', '3.59%', '7.47%', '4.93%', '32.72%']..., số giá trị độc nhất: 7
W7_2023:
['0.29%', '10.00%', '15.88%', '5.20%', '6.39%', '7.32%', '30.88%']..., số giá trị độc nhất: 7
W7_2024:
['0.13%', '10.46%', '11.75%', '2.07%', '7.17%', '8.98%', '37.51%']..., số giá trị độc nhất: 7
W7_2025:
['0.62%', '12.29%', '14.07%', '2.23%', '8.76%', '7.10%', '34.39%']..., số giá trị độc nhất: 7
W7_TRUNG BÌNH:
['+0.94%', '+13.29%', '+12.74%', '+3.39%', '+8.52%', '+9.09%', '+28.96%']..., số giá trị độc nhất: 7
W7_TRUNG VỊ:
['+0.67%', '+12.53%', '+12.36%', '+3.49%', '+8.08%', '+8.73%', '+31.74%']..., số giá trị độc nhất: 7
W8_2011:
['0.47%', '17.78%', '11.08%', '4.22%', '9.13%', '7.03%', '23.99%']..., số giá trị độc nhất: 7
W8_2012:
['0.34%', '14.42%', '9.84%', '3.53%', '6.28%', '7.65%', '41.24%']..., số giá trị độc nhất: 7
W8_2013:
['0.12%', '14.70%', '13.65%', '1.96%', '9.18%', '5.61%', '28.19%']..., số giá trị độc nhất: 7
W8_2014:
['1.09%', '15.05%', '9.71%', '4.37%', '11.08%', '10.04%', '20.76%']..., số giá trị độc nhất: 7
W8_2016:
['1.59%', '9.53%', '10.64%', '4.41%', '15.76%', '20.19%', '14.49%']..., số giá trị độc nhất: 7
W8_2017:
['1.50%', '25.45%', '19.21%', '2.43%', '7.21%', '11.40%', '9.40%']..., số giá trị độc nhất: 7
W8_2018:
['0.65%', '11.33%', '13.14%', '3.57%', '5.53%', '7.03%', '37.69%']..., số giá trị độc nhất: 7
W8_2019:
['1.58%', '13.01%', '10.59%', '3.60%', '10.58%', '11.29%', '25.16%']..., số giá trị độc nhất: 7
W8_2020:
['1.44%', '8.10%', '10.54%', '2.04%', '9.50%', '9.77%', '35.24%']..., số giá trị độc nhất: 7
W8_2021:
['0.49%', '7.59%', '12.79%', '6.87%', '6.12%', '7.63%', '32.06%']..., số giá trị độc nhất: 7
W8_2022:
['0.49%', '11.77%', '12.30%', '3.57%', '9.37%', '6.77%', '28.33%']..., số giá trị độc nhất: 7
W8_2023:
['0.39%', '10.31%', '15.94%', '5.92%', '7.14%', '6.68%', '30.15%']..., số giá trị độc nhất: 7
W8_2024:
['0.28%', '9.52%', '11.90%', '2.63%', '6.55%', '7.62%', '37.53%']..., số giá trị độc nhất: 7
W8_2025:
['0.66%', '11.59%', '12.82%', '1.80%', '8.26%', '7.04%', '36.18%']..., số giá trị độc nhất: 7
W8_TRUNG BÌNH:
['+0.79%', '+12.87%', '+12.44%', '+3.64%', '+8.69%', '+8.98%', '+28.60%']..., số giá trị độc nhất: 7
W8_TRUNG VỊ:
['+0.57%', '+11.68%', '+12.10%', '+3.57%', '+8.69%', '+7.63%', '+29.24%']..., số giá trị độc nhất: 7
W9_2010:
['1.46%', '16.27%', '13.01%', '2.44%', '7.17%', '11.90%', '25.33%']..., số giá trị độc nhất: 7
W9_2011:
['0.40%', '19.20%', '10.97%', '3.52%', '8.59%', '6.14%', '26.91%']..., số giá trị độc nhất: 7
W9_2012:
['0.32%', '13.69%', '10.80%', '3.24%', '6.59%', '7.61%', '43.54%']..., số giá trị độc nhất: 7
W9_2013:
['0.15%', '16.95%', '12.49%', '2.31%', '8.34%', '7.97%', '25.65%']..., số giá trị độc nhất: 7
W9_2014:
['0.68%', '15.37%', '9.39%', '2.82%', '9.68%', '11.65%', '22.23%']..., số giá trị độc nhất: 7
W9_2015:
['2.79%', '11.87%', '9.00%', '3.61%', '16.81%', '10.39%', '22.92%']..., số giá trị độc nhất: 7
W9_2016:
['1.36%', '9.03%', '11.06%', '3.60%', '16.74%', '18.81%', '18.12%']..., số giá trị độc nhất: 7
W9_2017:
['2.44%', '31.41%', '14.24%', '1.91%', '8.49%', '10.05%', '7.29%']..., số giá trị độc nhất: 7
W9_2018:
['0.65%', '10.86%', '11.65%', '4.75%', '5.90%', '6.75%', '36.20%']..., số giá trị độc nhất: 7
W9_2019:
['2.36%', '15.77%', '12.24%', '3.83%', '11.77%', '9.85%', '20.78%']..., số giá trị độc nhất: 7
W9_2020:
['1.21%', '7.20%', '9.85%', '2.47%', '9.84%', '8.77%', '37.41%']..., số giá trị độc nhất: 7
W9_2021:
['0.45%', '8.07%', '15.06%', '4.77%', '6.03%', '7.24%', '33.87%']..., số giá trị độc nhất: 7
W9_2022:
['0.55%', '11.75%', '12.03%', '5.23%', '10.71%', '5.35%', '26.95%']..., số giá trị độc nhất: 7
W9_2023:
['0.69%', '10.14%', '16.19%', '5.38%', '6.43%', '7.55%', '29.36%']..., số giá trị độc nhất: 7
W9_2024:
['0.30%', '8.77%', '13.24%', '3.17%', '8.09%', '7.93%', '37.69%']..., số giá trị độc nhất: 7
W9_2025:
['0.43%', '9.98%', '15.92%', '1.70%', '7.08%', '7.24%', '37.18%']..., số giá trị độc nhất: 7
W9_TRUNG BÌNH:
['+1.01%', '+13.52%', '+12.32%', '+3.42%', '+9.27%', '+9.07%', '+28.21%']..., số giá trị độc nhất: 7
W9_TRUNG VỊ:
['+0.67%', '+11.81%', '+12.13%', '+3.38%', '+8.42%', '+7.95%', '+26.93%']..., số giá trị độc nhất: 7
Các bản ghi bị trùng:
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ 
Accessing file: detail_industry_performance_processed.csv
detail_industry_performance_processed.csv
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
0 Chăm sóc sức khỏe Hiệu suất ngành -4.42% +1.47% -2.49% +1.49% +1.32% +2.35% -6.92% -2.24% -6.57% -0.88% +0.08% +4.18% -4.85% -5.69% -2.06% -1.68% -2.06% -7.15% -7.89% -1.49% +1.90% +2.26% -3.56% +0.18% +9.45% -1.31% +3.10% +3.04% +6.98% +5.29% +2.55% +2.57% +1.06% +2.26% +2.15% -4.26% +9.56% +3.69% -0.76% +0.47% -1.84% +3.13% +0.36% +3.51% +10.67% +4.71% +3.13% +0.59% +3.01% +2.54% +3.01% -2.31% -4.92% +7.94% +1.94% +11.57% -0.25% -2.63% +8.96% +0.23% -0.02% +5.44% -1.41% -6.83% +2.70% +0.24% -1.50% +1.20% +0.11% +1.25% -5.15% +3.14% +2.83% +2.62% +0.43% +22.49% +4.82% -1.62% +11.67% -5.25% +0.32% +10.78% +0.81% +3.35% +3.68% +3.51% +2.72% +4.71% -2.26% +0.32% +13.94% +5.42% -3.28% +0.63% +9.57% +0.45% +5.76% -16.25% +4.38% -1.18% -2.18% +3.66% +0.03% +1.58% +0.63% +1.77% -1.40% +2.00% -0.76% -1.65% -0.94% +2.52% +1.33% -6.79% -2.28% +14.12% -1.65% -2.85% +6.64% -1.18% +0.59% -0.94% -2.09% -8.28% -0.09% +9.36% -4.53% -4.43% -2.39% +20.56% -2.67% -3.53% +0.96% +5.54% -4.56% +6.44% 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-0.72% -1.47% -0.85% -0.10% -0.93% +0.06% -0.85% +0.22% +1.68% +1.81% +3.42% -0.97% +1.50% +0.28% -0.63% -2.80% +1.20% +1.90% +1.35% -2.82% +1.94% -0.11% +0.53% +1.20% -1.88% +0.20% -1.37% -0.41% -1.72% -1.48% -1.09% +5.12% -0.99% +0.17% -0.80% -0.48% -1.25% -1.63% -0.19% -0.52% -0.99% -2.62% -0.36% -2.48% -2.43% +0.36% +0.36% -5.42% -2.07% -0.98% +0.13% +0.18% +0.65% +0.77% -4.17% -2.02% -1.34% -0.98% +0.74% -0.11% -0.67% -0.13% +1.25% +2.04% +0.02% -3.75% -0.44% +0.43% -0.92% +3.13% -0.90% +0.71% +0.56% +0.13% +0.02% -2.48% +0.93% -1.18% -1.08% +2.01% -2.24% -0.65% +3.10% +0.62% +0.86% +0.64% +0.77% -1.06% +1.03% -0.96% +0.02% +0.62% -2.03% +0.47% +0.71% +1.88% +2.11% +0.63% -0.16% +3.69% -0.74% +1.20% +0.80% +1.43% -3.70% -0.22% -1.25% +0.32% +0.63% -0.60% -5.37% +1.47% -0.67% -0.36% +1.12% +0.22% +2.86% -0.62% -0.74% +0.46% -0.14% +2.98% -1.95% +1.78% +0.03% -0.14% -2.52% -1.89% -0.59% +1.31% -1.47% -1.90% +1.49% +1.45% -0.44% +1.52% +1.19% +0.35% +2.28% +1.06% +3.16% +0.33% +1.06% 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1 Công nghiệp Hiệu suất ngành -12.95% -4.85% +0.80% +7.00% -1.02% +9.81% +12.56% +12.48% -6.68% +0.01% -3.47% +12.54% -2.77% -8.61% +7.47% +1.49% +0.01% -0.83% -18.83% -2.75% +10.09% +3.61% -1.44% +22.74% +9.12% +3.92% -5.08% +13.32% +3.99% +8.77% +8.39% +7.11% +4.14% +3.99% -0.22% -7.56% +14.85% +4.60% -6.96% +4.23% +3.30% +16.65% +5.69% +0.22% +12.34% +0.51% +4.51% +3.82% +4.84% +4.06% +4.23% -7.42% -6.89% +2.07% +14.22% +8.19% +2.27% -1.87% +6.78% +4.16% +4.42% -7.51% -4.03% -8.77% +6.17% +9.10% +4.01% +1.56% +3.14% +0.87% -12.13% +12.84% +5.19% +15.77% +2.19% +4.86% +7.27% -0.88% +2.77% -11.18% +12.21% +11.30% -5.63% +7.08% -0.66% +3.24% +3.82% +5.09% -7.39% +9.01% +1.20% +7.30% -3.19% +7.30% +1.08% +2.63% +0.65% -17.39% +4.13% +4.81% +0.08% +7.32% +0.35% +1.51% +2.63% +15.49% -10.08% +13.99% -6.64% -9.10% +2.51% +3.44% -2.68% -15.10% -1.16% +29.46% -3.26% -10.18% -2.51% +0.32% +0.30% -2.51% -7.74% -22.57% -8.67% +16.07% -5.90% +0.89% +1.03% -3.46% -8.51% +2.09% +1.21% -0.23% 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2 Nguyên vật liệu Hiệu suất ngành -1.69% -0.78% +2.06% +1.68% +0.46% +3.99% -3.57% -3.40% -5.93% -0.22% +6.25% +11.98% -18.58% -12.18% -2.67% -1.51% -0.78% -1.37% -13.75% -0.95% +4.58% -0.32% -2.91% -0.35% +7.71% -5.67% +0.19% +16.13% -2.36% -0.99% +14.63% -0.77% +0.92% -0.77% +3.10% -7.01% +7.81% +0.29% +0.59% +2.82% -0.22% +6.15% -1.57% -4.66% +20.25% -3.19% +0.60% +4.59% +2.71% +2.15% +0.60% -4.36% -0.94% +5.53% +12.44% +8.39% -1.36% -6.07% -0.58% +18.87% -5.40% -0.96% -6.43% -11.40% +14.46% +0.59% -0.09% +1.42% -0.76% +7.53% -11.10% +11.47% -1.13% +6.16% -0.13% +1.38% +3.19% -1.57% +5.60% +4.80% +14.16% +12.49% -8.77% +12.29% +11.55% +4.25% +5.20% +4.84% -2.70% +3.04% +4.76% +3.39% -2.88% +19.91% +4.72% -2.75% +3.15% -16.20% +4.38% +4.19% +3.10% +5.39% -0.81% +2.42% +3.39% +9.25% -6.47% +15.51% +0.10% -5.09% +0.69% -0.73% -1.79% -8.78% -1.70% +19.95% +6.44% -9.60% +3.83% -7.95% +0.91% -0.73% -7.47% -9.70% -4.05% +11.05% -1.40% -1.46% -0.82% +2.52% -0.69% +1.02% +11.50% +13.45% 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3 Năng lượng Hiệu suất ngành -0.90% +0.40% +2.22% -0.35% -2.20% +6.08% -8.63% -2.07% -14.52% -1.49% -1.76% +24.90% -17.71% -17.26% -9.22% -2.83% -1.76% +6.50% -10.94% -1.72% +8.14% -17.37% -11.74% -4.76% +18.49% -2.98% -1.31% +15.32% -14.55% -7.68% +14.99% -4.61% -0.95% -2.98% +4.40% -8.07% +10.48% +3.70% -15.08% -13.75% -6.20% +24.92% -7.70% -6.51% +47.45% +8.95% -8.36% +0.29% +16.33% +3.39% +0.29% -11.50% +3.28% +7.43% +17.92% +24.15% -6.39% -10.39% +3.85% +15.79% +0.55% -3.34% +2.57% +0.47% +29.92% +2.92% -7.33% +4.37% +2.75% -2.19% -1.71% +12.89% -7.55% +10.74% +0.93% +3.07% +4.86% -10.18% +6.81% -0.26% +39.80% +15.54% -3.98% +7.86% +3.43% +5.00% +3.25% +0.89% -0.44% +3.00% +1.80% +1.19% -17.79% -0.77% -8.14% -10.77% -4.68% -32.25% +43.38% -2.16% -2.62% +3.72% -4.09% -1.71% -0.77% +7.21% -1.77% +7.85% -4.29% -3.20% +16.50% +5.07% -5.46% -15.24% +15.87% +33.67% -15.95% -23.64% +4.50% -6.93% +0.95% -1.77% -6.59% -13.22% -6.66% +25.78% -0.16% -3.89% +16.35% -5.01% -11.66% -3.16% 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4 Tiêu dùng không thiết yếu Hiệu suất ngành -8.34% -7.20% +0.19% -0.08% +2.79% +11.86% -1.67% -1.82% -10.26% -1.63% -1.71% +9.68% -13.18% -13.27% -3.06% -2.51% -1.71% -1.74% -8.44% +0.16% +6.56% +0.31% -0.59% +1.02% +3.44% -0.76% -4.20% +7.35% +8.93% -3.06% +7.18% -2.22% +0.93% +0.16% +6.21% +1.46% +8.39% +3.97% -0.10% -1.62% -2.07% +7.85% -1.63% +1.41% +10.35% +0.64% -1.95% +2.74% +1.45% +2.47% +1.45% -7.25% -1.18% +3.09% +5.74% +5.30% +3.46% -3.40% -1.74% +13.90% -0.82% -3.22% +2.01% -3.87% +8.96% +2.33% +1.34% +1.54% +1.67% +2.43% -7.44% +2.58% +3.54% +7.32% +2.16% -0.23% +2.99% +0.90% +2.67% -1.90% +10.65% +9.04% -7.63% +4.86% +5.00% +2.31% +2.63% +4.18% +0.56% +4.56% +0.21% +3.74% -3.77% +3.04% +2.88% -1.62% +3.02% -22.18% +5.72% +3.30% -0.71% +7.35% +1.48% +0.69% +3.02% +15.43% -4.84% +20.03% -4.03% -8.74% +2.64% +4.16% +2.78% -13.29% +0.99% +15.16% -0.36% -9.52% +3.22% -1.82% +1.45% +0.99% -9.32% -10.86% -3.56% +11.43% -2.06% -3.56% +3.84% +14.24% -0.24% +2.67% +6.48% +2.95% 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+1.52% -7.15% -2.00% +0.17% +1.50% +5.84% -0.99% +3.92% +0.83% +1.01% +0.13% +2.63% +2.21% +1.06% -4.83% +3.04% +0.49% +1.01% -0.62% +9.27% -5.37% -0.90% +1.15% -2.67% +2.02% +0.31% +3.14% -0.26% +0.95% -1.63% +0.17% +0.90% +1.89% +0.56% +0.31% -8.82% +2.01% +0.27% -2.65% +2.07% +0.70% -1.95% +0.50% -0.14% -0.12% +7.58% +0.12% +4.05% +4.70% -1.50% +0.46% +0.27% +6.91% +4.00% -0.58% +1.51% +0.77% +0.55% -0.01% -0.03% -0.46% -1.27% +1.07% +2.47% -0.18% +2.99% -1.89% +1.06% +0.55% -1.38% +4.96% +0.53% -0.56% +2.21% +0.24% -0.46% +2.12% +2.83% +3.22% -0.25% +3.37% -2.72% -0.75% -1.64% +0.78% +0.24% -0.07% -3.16% -2.27% +0.47% +1.35% +0.63% -2.87% -1.11% +1.82% +1.00% +0.48% +2.65% -1.01% -1.89% +0.86% -0.21% +0.47% -1.10% -3.69% -1.08% +3.15% +2.98% +1.87% +2.61% -1.53% +1.17% -0.01% +1.79% +0.48% -2.17% -1.80% -0.57% +0.14% -0.01% -2.68% +2.01% +2.13% +2.69% +0.41% +1.29% +0.17% -2.33% +3.02% -1.30% +0.51% +4.75% -4.58% +4.94% +2.96% +1.97% +1.00% +1.63% -2.65% -2.79% -0.47% +1.46% +3.49% +1.27% +0.82% -1.03% -0.94% -1.92% +0.22% +0.38% -7.19% -3.32% -1.40% -0.94% -0.94% -3.38% +2.86% +2.62% -0.29% +2.46% +3.11% -0.71% +0.13% -3.59% +0.15% +0.70% +3.28% -9.40% +3.24% -0.67% +0.03% +0.15% -0.80% -0.54% -0.58% +1.04% -3.32% +1.06% +1.84% +1.65% -1.24% -0.02% -0.43% +1.46% +5.91% -4.68% -0.74% +0.04% -0.43% -6.02% -4.40% -0.63% -0.09% -0.25% +2.50% -0.80% -1.01% -6.90% +0.32% +0.63% +0.03% -5.23% -4.28% -1.25% -1.82% -0.80% +2.43% -4.12% -2.94% -0.88% +0.93% +3.75% -0.78% -4.80% +2.87% -0.20% -2.75% +4.56% -2.93% -1.47% +0.09% -0.42% -0.78% -0.60% -4.18% +1.83% +1.81% +1.19% -2.04% -1.43% +1.77% -3.08% +0.01% +1.00% +3.08% -7.10% +2.65% +0.45% -0.31% +0.45% -6.27% -3.23% +0.10% +1.34% +1.49% +2.32% +2.43% -0.25% +0.30% -0.68% +2.38% +6.44% -5.74% +1.37% -3.82% -0.12% +0.30% -3.12% -4.08% +0.74% +0.23% +0.70% -0.78% -0.99% +3.73% +1.75% -2.40% +1.91% +2.40% -0.42% -1.15% +0.15% -0.09% +0.15% +3.57% +1.18% -0.22% +2.64% -3.00% +0.98% +0.20% +3.92% -0.32% -1.29% +2.38% -2.34% +0.62% +1.00% +2.03% +0.76% +0.98% +9.70% +2.47% +1.21% +1.92% +2.79% -1.25% -0.27% -0.37% +3.44% +0.17% -0.38% -2.78% +12.35% +3.21% +1.44% +2.24% +1.44% -8.36% -4.13% -0.09% +1.65% +1.04% -2.70% +0.96% +5.43% +0.08% +1.93% +0.31% -2.73% +1.72% -0.06% +2.79% -0.14% +0.31% +1.74% -0.91% +1.43% -0.29% -1.11% -1.20% -2.79% +0.37% +0.21% +0.15% +2.63% +0.38% -0.99% -2.72% -1.01% -0.27% -0.29% -1.02% +1.43% +1.25% +1.11% -3.94% -0.47% -0.28% +2.16% -3.40% -0.09% +1.58% +2.30% +1.82% +0.83% +1.19% +0.30% +1.11% -0.85% -1.44% +4.27% +1.38% +0.57% -1.79% -0.14% +3.23% -1.75% +1.10% +2.70% -0.96% -4.90% +1.21% +0.79% +0.23% +0.57% +1.92% +0.64% -0.20% +1.74% +2.11% +1.08% +0.08% +2.95% +1.04% -1.08% -0.94% +0.85% +1.04% -0.17% -0.79% +1.18% +0.27% +1.25% +0.43% +3.14% +1.48% -3.69% +0.78% -5.25% -5.81% -1.16% -2.15% +2.93% -0.51% +0.27% +1.41% -0.42% +4.80% +0.33% -0.47% -1.00% +0.50% -9.32% -0.53% +3.74% -2.75% +0.38% +1.63% -0.13% +0.33% +1.31% +0.72% -0.34% +5.68% +1.33% +1.75% +5.59% 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Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
2 Nguyên vật liệu Hiệu suất ngành -1.69% -0.78% +2.06% +1.68% +0.46% +3.99% -3.57% -3.40% -5.93% -0.22% +6.25% +11.98% -18.58% -12.18% -2.67% -1.51% -0.78% -1.37% -13.75% -0.95% +4.58% -0.32% -2.91% -0.35% +7.71% -5.67% +0.19% +16.13% -2.36% -0.99% +14.63% -0.77% +0.92% -0.77% +3.10% -7.01% +7.81% +0.29% +0.59% +2.82% -0.22% +6.15% -1.57% -4.66% +20.25% -3.19% +0.60% +4.59% +2.71% +2.15% +0.60% -4.36% -0.94% +5.53% +12.44% +8.39% -1.36% -6.07% -0.58% +18.87% -5.40% -0.96% -6.43% -11.40% +14.46% +0.59% -0.09% +1.42% -0.76% +7.53% -11.10% +11.47% -1.13% +6.16% -0.13% +1.38% +3.19% -1.57% +5.60% +4.80% +14.16% +12.49% -8.77% +12.29% +11.55% +4.25% +5.20% +4.84% -2.70% +3.04% +4.76% +3.39% -2.88% +19.91% +4.72% -2.75% +3.15% -16.20% +4.38% +4.19% +3.10% +5.39% -0.81% +2.42% +3.39% +9.25% -6.47% +15.51% +0.10% -5.09% +0.69% -0.73% -1.79% -8.78% -1.70% +19.95% +6.44% -9.60% +3.83% -7.95% +0.91% -0.73% -7.47% -9.70% -4.05% +11.05% -1.40% -1.46% -0.82% +2.52% -0.69% +1.02% +11.50% +13.45% -11.95% +5.33% +12.96% +1.35% -0.69% +0.21% +1.29% -0.87% -6.73% +3.09% +1.68% +6.94% +6.09% -3.45% -0.71% -3.30% +6.52% -10.12% +11.08% -1.27% +0.70% +0.21% -3.20% -5.14% -3.86% -0.22% +1.71% +4.31% +1.13% -1.27% +0.33% +5.19% -2.03% -4.42% +0.90% +9.19% -2.38% +0.02% -0.22% -7.14% +0.12% +2.36% +1.17% +5.65% -2.06% +4.35% +2.92% +4.68% +1.41% +13.21% +11.94% +8.96% +0.23% +0.79% +3.24% +2.36% -0.51% -1.36% -4.19% +5.53% -1.07% -0.08% +3.32% +5.21% +5.03% -3.12% +7.54% +5.21% -12.30% -2.53% +1.19% +0.52% -0.08% +7.81% -14.31% +21.21% +16.45% +18.97% -4.32% +14.19% +7.44% +13.79% +3.04% -13.02% +11.50% +3.85% +7.66% +19.04% +10.55% +7.55% +7.81% +1.30% -14.45% +9.87% +3.68% -3.53% +0.88% +5.29% +6.82% -12.53% -1.40% +29.33% +28.63% -28.46% +21.49% +2.66% +3.31% +2.66% -10.57% -6.32% -5.72% +6.53% +6.30% +2.08% +9.03% +6.90% +10.31% +3.34% +19.28% +12.57% -3.58% +6.67% -0.44% +3.76% +6.30% -0.03% -20.42% +8.99% +6.65% +0.73% +3.82% -4.12% +10.45% -12.65% -4.68% +48.37% +5.85% -18.90% +5.29% -0.80% +1.90% +0.73% +4.42% -6.36% -1.03% +0.92% -0.13% +0.75% +2.60% +0.68% -2.28% +0.73% +1.58% +2.91% +6.66% +2.87% -0.08% -1.01% +0.83% +0.74% +6.32% +5.97% -0.20% +2.85% +1.76% -0.51% +2.62% +1.21% -0.25% +1.94% -9.12% +2.53% +0.07% -2.27% +5.13% +0.20% +1.20% +1.76% -2.57% -1.31% +3.48% +0.02% +1.82% -0.61% +1.95% +0.21% -0.88% +1.88% -3.61% +0.81% -2.11% -0.58% -0.46% -0.13% -0.46% -1.69% -0.06% -1.47% +1.02% +0.31% -2.17% +7.76% +2.02% +0.34% -2.58% -5.50% -3.81% +3.82% +1.98% +0.19% +0.01% +0.19% +0.82% -2.56% +0.76% +3.42% -0.11% +0.08% +0.62% +0.23% +0.90% +1.68% +2.96% +4.53% -0.95% +2.29% -3.19% +0.76% +0.76% +3.20% -0.42% +5.50% -1.21% -1.16% +0.33% +1.80% -0.80% -2.40% -2.75% +6.38% +1.38% -1.86% -1.21% +0.95% +0.52% -0.42% -0.04% -1.69% +1.16% -3.09% -6.77% +0.83% +0.91% -1.61% -2.24% -1.64% +5.57% +0.61% -0.20% +0.76% -8.95% -1.09% -0.20% +2.23% -4.22% +7.41% +1.09% +3.25% -0.60% +1.03% +0.39% -5.25% +1.06% +0.97% -0.46% -8.51% +1.97% +3.45% +0.25% +1.03% +1.31% +0.31% +2.87% +0.69% -0.54% -0.30% -1.33% +0.30% +0.67% +0.05% +2.38% +2.32% -0.23% -0.04% +0.66% +0.61% +0.31% -1.19% +0.05% +1.94% +2.13% -5.75% -1.24% -1.89% +1.51% +1.09% -2.61% +3.10% +1.71% -4.56% +3.91% +5.47% +0.24% +1.09% -3.47% +2.69% +0.75% -0.43% +3.04% -3.99% +1.99% +4.08% +0.27% +0.04% +0.50% +0.51% -3.79% +0.13% -9.66% +0.87% -0.21% -2.33% +1.31% -0.96% -1.14% +1.97% +0.40% +2.14% -15.37% -2.28% +4.28% -1.64% -0.21% -7.89% -6.01% +3.93% +3.53% +4.07% +1.91% +0.17% +0.53% -3.84% +0.37% +5.48% +1.72% +7.65% +1.10% +1.30% +0.93% +1.30% +6.66% -3.58% -2.60% +3.41% +0.74% +0.24% -1.15% +1.49% +3.76% +1.29% +2.12% +4.70% +1.27% +4.08% +0.73% +1.54% +1.29% -1.71% +4.44% +1.74% -2.31% -0.88% -0.15% +3.68% +1.59% +4.26% +0.77% +0.68% +6.07% -0.39% +2.64% +1.08% +1.43% +1.08% -2.02% +1.65% +0.57% -1.17% +2.78% +2.22% +0.46% +1.43% -1.50% -1.04% -2.04% -1.27% +1.43% -0.10% -1.79% -0.03% -0.10% +2.98% -2.92% -1.46% -3.07% -0.72% -0.92% +0.62% +0.50% -3.16% +0.46% +2.57% +5.16% -7.36% +5.58% +2.91% +0.08% +0.46% +0.07% -1.47% -1.63% -0.34% +1.22% -1.25% +0.47% +2.09% -3.94% -0.89% -1.31% -1.59% -3.42% +1.19% -3.36% -0.94% -1.25% -1.06% -2.34% -1.31% +0.28% +2.46% +2.13% +3.29% +1.30% -4.51% +2.29% -0.51% +2.14% -0.85% +4.68% +2.53% +0.70% +1.30% -1.68% -0.88% +1.04% +0.51% -1.15% -0.57% +4.27% -0.27% -1.12% -0.58% +1.21% -8.74% -2.98% +1.52% +2.57% -0.46% -0.57% +1.59% -2.18% +1.33% +2.28% +3.69% +2.54% -4.39% -3.11% +2.67% +0.23% +1.45% -0.66% +4.25% +1.92% -3.94% +0.51% +1.45% +3.22% -2.57% +1.70% +4.65% +2.48% +2.80% -3.64% +1.93% +3.56% -0.08% -2.29% +1.96% +0.91% +0.98% -2.42% -3.57% +0.60% +1.34% -0.62% -0.38% -4.08% -2.49% -2.02% +3.89% -0.68% +1.47% +2.31% +3.68% -5.10% -0.34% +0.66% +0.55% -3.00% -0.41% -0.38% -1.41% -0.21% -0.61% +0.06% -1.31% -1.83% +1.22% -0.43% -0.35% +1.61% -2.11% +4.38% -0.62% -1.07% -1.56% -0.28% -0.61% -1.93% -1.60% +2.62% +1.76% +0.59% +1.21% -4.53% +0.25% +1.33% +3.31% +6.49% +3.19% +4.66% +0.21% -2.05% +1.03% +1.21% -6.17% 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3 Năng lượng Hiệu suất ngành -0.90% +0.40% +2.22% -0.35% -2.20% +6.08% -8.63% -2.07% -14.52% -1.49% -1.76% +24.90% -17.71% -17.26% -9.22% -2.83% -1.76% +6.50% -10.94% -1.72% +8.14% -17.37% -11.74% -4.76% +18.49% -2.98% -1.31% +15.32% -14.55% -7.68% +14.99% -4.61% -0.95% -2.98% +4.40% -8.07% +10.48% +3.70% -15.08% -13.75% -6.20% +24.92% -7.70% -6.51% +47.45% +8.95% -8.36% +0.29% +16.33% +3.39% +0.29% -11.50% +3.28% +7.43% +17.92% +24.15% -6.39% -10.39% +3.85% +15.79% +0.55% -3.34% +2.57% +0.47% +29.92% +2.92% -7.33% +4.37% +2.75% -2.19% -1.71% +12.89% -7.55% +10.74% +0.93% +3.07% +4.86% -10.18% +6.81% -0.26% +39.80% +15.54% -3.98% +7.86% +3.43% +5.00% +3.25% +0.89% -0.44% +3.00% +1.80% +1.19% -17.79% -0.77% -8.14% -10.77% -4.68% -32.25% +43.38% -2.16% -2.62% +3.72% -4.09% -1.71% -0.77% +7.21% -1.77% +7.85% -4.29% -3.20% +16.50% +5.07% -5.46% -15.24% +15.87% +33.67% -15.95% -23.64% +4.50% -6.93% +0.95% -1.77% -6.59% -13.22% -6.66% +25.78% -0.16% -3.89% +16.35% -5.01% -11.66% -3.16% 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4 Tiêu dùng không thiết yếu Hiệu suất ngành -8.34% -7.20% +0.19% -0.08% +2.79% +11.86% -1.67% -1.82% -10.26% -1.63% -1.71% +9.68% -13.18% -13.27% -3.06% -2.51% -1.71% -1.74% -8.44% +0.16% +6.56% +0.31% -0.59% +1.02% +3.44% -0.76% -4.20% +7.35% +8.93% -3.06% +7.18% -2.22% +0.93% +0.16% +6.21% +1.46% +8.39% +3.97% -0.10% -1.62% -2.07% +7.85% -1.63% +1.41% +10.35% +0.64% -1.95% +2.74% +1.45% +2.47% +1.45% -7.25% -1.18% +3.09% +5.74% +5.30% +3.46% -3.40% -1.74% +13.90% -0.82% -3.22% +2.01% -3.87% +8.96% +2.33% +1.34% +1.54% +1.67% +2.43% -7.44% +2.58% +3.54% +7.32% +2.16% -0.23% +2.99% +0.90% +2.67% -1.90% +10.65% +9.04% -7.63% +4.86% +5.00% +2.31% +2.63% +4.18% +0.56% +4.56% +0.21% +3.74% -3.77% +3.04% +2.88% -1.62% +3.02% -22.18% +5.72% +3.30% -0.71% +7.35% +1.48% +0.69% +3.02% +15.43% -4.84% +20.03% -4.03% -8.74% +2.64% +4.16% +2.78% -13.29% +0.99% +15.16% -0.36% -9.52% +3.22% -1.82% +1.45% +0.99% -9.32% -10.86% -3.56% +11.43% -2.06% -3.56% +3.84% +14.24% -0.24% +2.67% +6.48% +2.95% 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5 Tiêu dùng thiết yếu Hiệu suất ngành +3.52% +2.22% +2.16% -0.93% +0.43% +9.42% +2.36% +2.78% -8.22% -0.07% +4.42% +5.34% -6.41% -11.84% +1.41% +0.44% +2.16% +2.03% -3.66% -1.29% +0.74% -2.74% +1.30% -0.05% +16.11% +6.91% -6.97% +5.40% -0.64% +3.86% +5.42% +3.18% +1.97% +1.30% +6.13% -15.12% +8.04% -2.24% -2.16% +3.62% +15.12% -1.44% +1.64% -4.59% +5.59% +3.43% -3.10% +4.55% +9.58% +1.94% +3.43% +1.83% +7.67% +8.67% +14.59% +7.93% +3.83% -10.48% +4.06% +7.37% +1.84% -7.16% -6.30% -6.16% +5.28% +0.04% -3.75% +1.83% +2.84% +5.37% -6.68% +8.76% -1.12% +4.50% +2.93% +4.03% +0.08% -2.61% +5.01% -6.85% +6.70% +5.59% -5.96% +9.57% +0.81% +1.88% +3.48% -0.26% -1.84% +1.94% +8.63% -0.38% -4.05% +2.85% +0.28% +7.05% -1.46% -15.14% +0.30% +2.69% -1.68% +2.57% -0.46% +0.10% +0.28% +9.26% +18.68% +2.92% -1.52% -2.12% +1.91% +3.46% +0.93% -8.17% -1.90% +18.86% -1.76% -2.94% -3.71% -4.91% +1.93% -1.52% -0.06% -11.95% -5.33% +4.99% -4.18% -1.22% +0.83% -0.20% -4.71% +2.11% +10.86% +1.83% -2.43% +0.35% 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6 Tài chính Hiệu suất ngành -2.61% -1.57% -3.52% +3.66% +0.82% +7.88% -3.67% +3.12% -10.87% +2.97% +0.77% +4.12% -6.36% -7.52% -1.22% -0.93% -1.22% -2.55% -12.13% -0.76% +0.63% -3.17% -10.61% -4.11% +15.47% -0.74% -2.32% +11.46% +7.42% +5.63% +4.61% -2.03% +0.45% -0.76% +12.20% -7.75% +16.12% -3.83% +1.84% +2.21% -0.57% +4.71% -2.88% +4.39% +14.74% +2.00% +0.30% +2.99% +2.44% +3.26% +2.21% -4.92% +8.47% +16.73% +18.94% +8.85% +15.22% -8.09% +12.74% +28.21% +1.73% +1.92% -7.10% +4.79% +13.43% +7.86% +1.26% +7.50% +8.17% +10.53% -10.38% +13.34% -3.95% +4.52% +4.68% +2.02% -1.62% +9.31% +3.44% -1.87% +14.00% -2.53% -6.29% +8.66% +4.19% +3.00% +3.82% -5.06% -0.62% +11.76% -3.91% +1.32% -6.86% -3.67% +3.25% +3.59% +4.87% -27.60% +6.42% -1.43% +5.25% +1.38% +3.04% -0.75% +1.32% +2.80% +0.61% +6.54% -5.39% -8.58% +2.51% +6.93% -2.82% -12.47% -2.24% +14.04% +5.62% -9.52% -1.15% -5.45% -0.57% -1.15% -5.26% -7.16% -9.12% +7.76% -0.12% +10.51% +3.28% +7.27% -10.38% -4.11% +15.35% +20.05% -7.64% 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<class 'pandas.core.frame.DataFrame'>
RangeIndex: 7 entries, 0 to 6
Columns: 1171 entries, Industry to W9_TRUNG VỊ
dtypes: object(1171)
memory usage: 64.2+ KB
None
Số giá trị bị rỗng:
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M10_2011          0
M10_2012          0
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Q2_2012           0
Q2_2013           0
Q2_2014           0
Q2_2015           0
Q2_2016           0
Q2_2017           0
Q2_2018           0
Q2_2019           0
Q2_2020           0
Q2_2021           0
Q2_2022           0
Q2_2023           0
Q2_2024           0
Q2_TRUNG BÌNH     0
Q2_TRUNG VỊ       0
Q3_2010           0
Q3_2011           0
Q3_2012           0
Q3_2013           0
Q3_2014           0
Q3_2015           0
Q3_2016           0
Q3_2017           0
Q3_2018           0
Q3_2019           0
Q3_2020           0
Q3_2021           0
Q3_2022           0
Q3_2023           0
Q3_2024           0
Q3_TRUNG BÌNH     0
Q3_TRUNG VỊ       0
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Q4_2011           0
Q4_2012           0
Q4_2013           0
Q4_2014           0
Q4_2015           0
Q4_2016           0
Q4_2017           0
Q4_2018           0
Q4_2019           0
Q4_2020           0
Q4_2021           0
Q4_2022           0
Q4_2023           0
Q4_2024           0
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Q4_TRUNG VỊ       0
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W10_2011          0
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W10_2013          0
W10_2014          0
W10_2015          0
W10_2016          0
W10_2017          0
W10_2018          0
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W10_2021          0
W10_2022          0
W10_2023          0
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W10_2025          0
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W11_2011          0
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W11_2013          0
W11_2014          0
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W11_2016          0
W11_2017          0
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W11_2021          0
W11_2022          0
W11_2023          0
W11_2024          0
W11_2025          0
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W12_2011          0
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W12_2014          0
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W12_2017          0
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W12_2021          0
W12_2022          0
W12_2023          0
W12_2024          0
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W13_2013          0
W13_2014          0
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W13_2017          0
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W13_2021          0
W13_2022          0
W13_2023          0
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W14_2014          0
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W14_2022          0
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W15_2011          0
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W15_2013          0
W15_2014          0
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W16_2014          0
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W18_2014          0
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W18_2017          0
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W18_2021          0
W18_2022          0
W18_2023          0
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W19_2013          0
W19_2014          0
W19_2015          0
W19_2016          0
W19_2017          0
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W19_2021          0
W19_2022          0
W19_2023          0
W19_2024          0
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W1_2013           0
W1_2014           0
W1_2017           0
W1_2018           0
W1_2019           0
W1_2020           0
W1_2023           0
W1_2024           0
W1_2025           0
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W21_2023          0
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W22_2013          0
W22_2014          0
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W22_2017          0
W22_2018          0
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W22_2021          0
W22_2022          0
W22_2023          0
W22_2024          0
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W23_2011          0
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W23_2014          0
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W23_2017          0
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W24_2014          0
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W24_2017          0
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W24_2021          0
W24_2022          0
W24_2023          0
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W25_2014          0
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W25_2017          0
W25_2018          0
W25_2019          0
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W25_2021          0
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W28_2014          0
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W3_2011           0
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W3_2014           0
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W45_TRUNG VỊ      0
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W7_TRUNG VỊ       0
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W8_2014           0
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W8_2021           0
W8_2022           0
W8_2023           0
W8_2024           0
W8_2025           0
W8_TRUNG BÌNH     0
W8_TRUNG VỊ       0
W9_2010           0
W9_2011           0
W9_2012           0
W9_2013           0
W9_2014           0
W9_2015           0
W9_2016           0
W9_2017           0
W9_2018           0
W9_2019           0
W9_2020           0
W9_2021           0
W9_2022           0
W9_2023           0
W9_2024           0
W9_2025           0
W9_TRUNG BÌNH     0
W9_TRUNG VỊ       0
dtype: int64
Thống kê các giá trị:
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ
count 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
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freq 1 7 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 1 2 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 
Industry          7
Type of Value     1
M10_2010          7
M10_2011          7
M10_2012          7
M10_2013          7
M10_2014          7
M10_2015          7
M10_2016          7
M10_2017          7
M10_2018          7
M10_2019          7
M10_2020          7
M10_2021          7
M10_2022          7
M10_2023          7
M10_2024          7
M10_TRUNG BÌNH    7
M10_TRUNG VỊ      7
M11_2010          7
M11_2011          7
M11_2012          7
M11_2013          7
M11_2014          7
M11_2015          7
M11_2016          7
M11_2017          7
M11_2018          7
M11_2019          7
M11_2020          7
M11_2021          7
M11_2022          7
M11_2023          7
M11_2024          7
M11_TRUNG BÌNH    7
M11_TRUNG VỊ      7
M12_2010          7
M12_2011          7
M12_2012          7
M12_2013          7
M12_2014          7
M12_2015          7
M12_2016          7
M12_2017          7
M12_2018          7
M12_2019          7
M12_2020          7
M12_2021          7
M12_2022          7
M12_2023          7
M12_2024          7
M12_TRUNG BÌNH    7
M12_TRUNG VỊ      7
M1_2010           7
M1_2011           7
M1_2012           7
M1_2013           7
M1_2014           7
M1_2015           7
M1_2016           7
M1_2017           7
M1_2018           7
M1_2019           7
M1_2020           7
M1_2021           7
M1_2022           7
M1_2023           7
M1_2024           7
M1_2025           7
M1_TRUNG BÌNH     7
M1_TRUNG VỊ       7
M2_2010           7
M2_2011           7
M2_2012           7
M2_2013           7
M2_2014           7
M2_2015           7
M2_2016           7
M2_2017           7
M2_2018           7
M2_2019           7
M2_2020           7
M2_2021           7
M2_2022           7
M2_2023           7
M2_2024           7
M2_2025           7
M2_TRUNG BÌNH     7
M2_TRUNG VỊ       6
M3_2010           7
M3_2011           7
M3_2012           7
M3_2013           7
M3_2014           7
M3_2015           7
M3_2016           7
M3_2017           7
M3_2018           7
M3_2019           7
M3_2020           7
M3_2021           6
M3_2022           7
M3_2023           7
M3_2024           7
M3_2025           7
M3_TRUNG BÌNH     7
M3_TRUNG VỊ       7
M4_2010           7
M4_2011           7
M4_2012           7
M4_2013           7
M4_2014           7
M4_2015           6
M4_2016           7
M4_2017           7
M4_2018           7
M4_2019           7
M4_2020           7
M4_2021           7
M4_2022           6
M4_2023           7
M4_2024           7
M4_TRUNG BÌNH     7
M4_TRUNG VỊ       7
M5_2010           7
M5_2011           7
M5_2012           7
M5_2013           7
M5_2014           7
M5_2015           7
M5_2016           7
M5_2017           7
M5_2018           7
M5_2019           7
M5_2020           7
M5_2021           7
M5_2022           7
M5_2023           7
M5_2024           7
M5_TRUNG BÌNH     7
M5_TRUNG VỊ       7
M6_2010           7
M6_2011           7
M6_2012           7
M6_2013           7
M6_2014           7
M6_2015           7
M6_2016           7
M6_2017           7
M6_2018           7
M6_2019           7
M6_2020           7
M6_2021           7
M6_2022           7
M6_2023           7
M6_2024           7
M6_TRUNG BÌNH     6
M6_TRUNG VỊ       7
M7_2010           7
M7_2011           7
M7_2012           6
M7_2013           7
M7_2014           7
M7_2015           7
M7_2016           6
M7_2017           7
M7_2018           7
M7_2019           7
M7_2020           7
M7_2021           7
M7_2022           7
M7_2023           7
M7_2024           7
M7_TRUNG BÌNH     7
M7_TRUNG VỊ       7
M8_2010           7
M8_2011           7
M8_2012           7
M8_2013           7
M8_2014           7
M8_2015           7
M8_2016           7
M8_2017           7
M8_2018           7
M8_2019           7
M8_2020           7
M8_2021           6
M8_2022           7
M8_2023           7
M8_2024           7
M8_TRUNG BÌNH     7
M8_TRUNG VỊ       7
M9_2010           7
M9_2011           7
M9_2012           7
M9_2013           7
M9_2014           7
M9_2015           7
M9_2016           7
M9_2017           7
M9_2018           7
M9_2019           7
M9_2020           7
M9_2021           7
M9_2022           7
M9_2023           7
M9_2024           7
M9_TRUNG BÌNH     7
M9_TRUNG VỊ       7
Q1_2010           7
Q1_2011           7
Q1_2012           7
Q1_2013           7
Q1_2014           7
Q1_2015           7
Q1_2016           7
Q1_2017           7
Q1_2018           7
Q1_2019           7
Q1_2020           7
Q1_2021           7
Q1_2022           7
Q1_2023           7
Q1_2024           7
Q1_2025           7
Q1_TRUNG BÌNH     7
Q1_TRUNG VỊ       7
Q2_2010           7
Q2_2011           7
Q2_2012           7
Q2_2013           7
Q2_2014           7
Q2_2015           7
Q2_2016           7
Q2_2017           7
Q2_2018           7
Q2_2019           7
Q2_2020           7
Q2_2021           7
Q2_2022           7
Q2_2023           7
Q2_2024           7
Q2_TRUNG BÌNH     7
Q2_TRUNG VỊ       7
Q3_2010           7
Q3_2011           7
Q3_2012           7
Q3_2013           7
Q3_2014           7
Q3_2015           7
Q3_2016           7
Q3_2017           7
Q3_2018           7
Q3_2019           7
Q3_2020           7
Q3_2021           7
Q3_2022           7
Q3_2023           7
Q3_2024           7
Q3_TRUNG BÌNH     7
Q3_TRUNG VỊ       7
Q4_2010           7
Q4_2011           7
Q4_2012           7
Q4_2013           7
Q4_2014           7
Q4_2015           7
Q4_2016           7
Q4_2017           7
Q4_2018           7
Q4_2019           7
Q4_2020           7
Q4_2021           7
Q4_2022           7
Q4_2023           7
Q4_2024           7
Q4_TRUNG BÌNH     7
Q4_TRUNG VỊ       7
W10_2010          7
W10_2011          7
W10_2012          7
W10_2013          7
W10_2014          7
W10_2015          7
W10_2016          7
W10_2017          7
W10_2018          7
W10_2019          7
W10_2020          7
W10_2021          7
W10_2022          7
W10_2023          7
W10_2024          7
W10_2025          7
W10_TRUNG BÌNH    7
W10_TRUNG VỊ      7
W11_2010          7
W11_2011          7
W11_2012          7
W11_2013          7
W11_2014          7
W11_2015          7
W11_2016          7
W11_2017          7
W11_2018          7
W11_2019          7
W11_2020          7
W11_2021          7
W11_2022          7
W11_2023          7
W11_2024          7
W11_2025          7
W11_TRUNG BÌNH    7
W11_TRUNG VỊ      7
W12_2010          7
W12_2011          7
W12_2012          7
W12_2013          7
W12_2014          7
W12_2015          7
W12_2016          7
W12_2017          7
W12_2018          7
W12_2019          7
W12_2020          7
W12_2021          7
W12_2022          7
W12_2023          7
W12_2024          7
W12_TRUNG BÌNH    7
W12_TRUNG VỊ      7
W13_2010          7
W13_2011          7
W13_2012          7
W13_2013          7
W13_2014          7
W13_2015          7
W13_2016          7
W13_2017          7
W13_2018          7
W13_2019          7
W13_2020          7
W13_2021          7
W13_2022          7
W13_2023          7
W13_2024          7
W13_TRUNG BÌNH    7
W13_TRUNG VỊ      7
W14_2010          6
W14_2011          7
W14_2012          6
W14_2013          7
W14_2014          7
W14_2015          6
W14_2016          7
W14_2017          7
W14_2018          7
W14_2019          7
W14_2020          7
W14_2021          7
W14_2022          7
W14_2023          7
W14_2024          7
W14_TRUNG BÌNH    6
W14_TRUNG VỊ      6
W15_2010          7
W15_2011          7
W15_2012          7
W15_2013          7
W15_2014          7
W15_2015          7
W15_2016          7
W15_2017          7
W15_2018          7
W15_2019          6
W15_2020          7
W15_2021          7
W15_2022          7
W15_2023          7
W15_2024          7
W15_TRUNG BÌNH    7
W15_TRUNG VỊ      7
W16_2010          7
W16_2011          7
W16_2012          7
W16_2013          7
W16_2014          7
W16_2015          7
W16_2016          7
W16_2017          7
W16_2018          7
W16_2019          7
W16_2020          7
W16_2021          7
W16_2022          7
W16_2023          7
W16_2024          7
W16_TRUNG BÌNH    7
W16_TRUNG VỊ      7
W17_2010          7
W17_2011          7
W17_2012          7
W17_2013          7
W17_2014          7
W17_2015          7
W17_2016          7
W17_2017          7
W17_2018          7
W17_2019          7
W17_2020          7
W17_2021          7
W17_2022          7
W17_2023          7
W17_2024          7
W17_TRUNG BÌNH    7
W17_TRUNG VỊ      6
W18_2010          7
W18_2011          7
W18_2012          7
W18_2013          7
W18_2014          7
W18_2015          6
W18_2016          7
W18_2017          7
W18_2018          7
W18_2019          7
W18_2020          7
W18_2021          7
W18_2022          7
W18_2023          7
W18_2024          7
W18_TRUNG BÌNH    6
W18_TRUNG VỊ      7
W19_2010          7
W19_2011          7
W19_2012          7
W19_2013          7
W19_2014          7
W19_2015          7
W19_2016          7
W19_2017          7
W19_2018          7
W19_2019          7
W19_2020          7
W19_2021          7
W19_2022          6
W19_2023          7
W19_2024          7
W19_TRUNG BÌNH    7
W19_TRUNG VỊ      7
W1_2012           7
W1_2013           7
W1_2014           7
W1_2017           7
W1_2018           7
W1_2019           7
W1_2020           7
W1_2023           7
W1_2024           7
W1_2025           7
W1_TRUNG BÌNH     7
W1_TRUNG VỊ       7
W20_2010          7
W20_2011          7
W20_2012          6
W20_2013          7
W20_2014          7
W20_2015          7
W20_2016          7
W20_2017          7
W20_2018          7
W20_2019          7
W20_2020          7
W20_2021          7
W20_2022          7
W20_2023          7
W20_2024          7
W20_TRUNG BÌNH    7
W20_TRUNG VỊ      7
W21_2010          7
W21_2011          7
W21_2012          7
W21_2013          7
W21_2014          7
W21_2015          7
W21_2016          6
W21_2017          7
W21_2018          7
W21_2019          7
W21_2020          7
W21_2021          7
W21_2022          7
W21_2023          7
W21_2024          7
W21_TRUNG BÌNH    7
W21_TRUNG VỊ      7
W22_2010          7
W22_2011          7
W22_2012          7
W22_2013          7
W22_2014          7
W22_2015          7
W22_2016          7
W22_2017          7
W22_2018          7
W22_2019          7
W22_2020          7
W22_2021          7
W22_2022          7
W22_2023          7
W22_2024          7
W22_TRUNG BÌNH    7
W22_TRUNG VỊ      7
W23_2010          7
W23_2011          7
W23_2012          7
W23_2013          7
W23_2014          7
W23_2015          7
W23_2016          7
W23_2017          7
W23_2018          7
W23_2019          7
W23_2020          7
W23_2021          7
W23_2022          7
W23_2023          7
W23_2024          7
W23_TRUNG BÌNH    7
W23_TRUNG VỊ      7
W24_2010          7
W24_2011          7
W24_2012          7
W24_2013          7
W24_2014          7
W24_2015          7
W24_2016          6
W24_2017          7
W24_2018          7
W24_2019          7
W24_2020          7
W24_2021          7
W24_2022          7
W24_2023          6
W24_2024          7
W24_TRUNG BÌNH    7
W24_TRUNG VỊ      6
W25_2010          7
W25_2011          7
W25_2012          7
W25_2013          7
W25_2014          7
W25_2015          7
W25_2016          7
W25_2017          7
W25_2018          7
W25_2019          7
W25_2020          7
W25_2021          7
W25_2022          7
W25_2023          7
W25_2024          7
W25_TRUNG BÌNH    7
W25_TRUNG VỊ      7
W26_2010          7
W26_2011          7
W26_2012          7
W26_2013          7
W26_2014          7
W26_2015          7
W26_2016          7
W26_2017          7
W26_2018          7
W26_2019          7
W26_2020          7
W26_2021          7
W26_2022          7
W26_2023          7
W26_2024          7
W26_TRUNG BÌNH    7
W26_TRUNG VỊ      7
W27_2010          7
W27_2011          7
W27_2012          7
W27_2013          7
W27_2014          7
W27_2015          7
W27_2016          7
W27_2017          7
W27_2018          7
W27_2019          7
W27_2020          7
W27_2021          7
W27_2022          7
W27_2023          7
W27_2024          7
W27_TRUNG BÌNH    7
W27_TRUNG VỊ      7
W28_2010          7
W28_2011          7
W28_2012          7
W28_2013          7
W28_2014          7
W28_2015          7
W28_2016          7
W28_2017          7
W28_2018          7
W28_2019          7
W28_2020          7
W28_2021          7
W28_2022          7
W28_2023          7
W28_2024          7
W28_TRUNG BÌNH    7
W28_TRUNG VỊ      7
W29_2010          7
W29_2011          7
W29_2012          7
W29_2013          7
W29_2014          7
W29_2015          7
W29_2016          7
W29_2017          7
W29_2018          7
W29_2019          7
W29_2020          7
W29_2021          7
W29_2022          7
W29_2023          7
W29_2024          7
W29_TRUNG BÌNH    7
W29_TRUNG VỊ      7
W2_2010           6
W2_2011           6
W2_2012           7
W2_2013           7
W2_2014           6
W2_2015           7
W2_2016           7
W2_2017           7
W2_2018           7
W2_2019           7
W2_2020           7
W2_2021           7
W2_2022           7
W2_2023           7
W2_2024           7
W2_2025           7
W2_TRUNG BÌNH     7
W2_TRUNG VỊ       7
W30_2010          7
W30_2011          7
W30_2012          7
W30_2013          7
W30_2014          7
W30_2015          7
W30_2016          7
W30_2017          7
W30_2018          7
W30_2019          7
W30_2020          7
W30_2021          7
W30_2022          7
W30_2023          7
W30_2024          7
W30_TRUNG BÌNH    7
W30_TRUNG VỊ      7
W31_2010          7
W31_2011          7
W31_2012          7
W31_2013          7
W31_2014          7
W31_2015          7
W31_2016          7
W31_2017          6
W31_2018          7
W31_2019          7
W31_2020          7
W31_2021          7
W31_2022          7
W31_2023          7
W31_2024          7
W31_TRUNG BÌNH    7
W31_TRUNG VỊ      6
W32_2010          7
W32_2011          7
W32_2012          7
W32_2013          7
W32_2014          7
W32_2015          7
W32_2016          7
W32_2017          7
W32_2018          7
W32_2019          7
W32_2020          7
W32_2021          7
W32_2022          7
W32_2023          7
W32_2024          7
W32_TRUNG BÌNH    7
W32_TRUNG VỊ      7
W33_2010          7
W33_2011          7
W33_2012          7
W33_2013          7
W33_2014          7
W33_2015          7
W33_2016          7
W33_2017          7
W33_2018          6
W33_2019          7
W33_2020          7
W33_2021          7
W33_2022          7
W33_2023          5
W33_2024          7
W33_TRUNG BÌNH    7
W33_TRUNG VỊ      7
W34_2010          7
W34_2011          7
W34_2012          6
W34_2013          7
W34_2014          7
W34_2015          7
W34_2016          7
W34_2017          7
W34_2018          6
W34_2019          7
W34_2020          7
W34_2021          7
W34_2022          7
W34_2023          7
W34_2024          7
W34_TRUNG BÌNH    6
W34_TRUNG VỊ      7
W35_2010          7
W35_2011          7
W35_2012          7
W35_2013          7
W35_2014          7
W35_2015          7
W35_2016          7
W35_2017          7
W35_2018          7
W35_2019          7
W35_2020          7
W35_2021          7
W35_2022          7
W35_2023          7
W35_2024          7
W35_TRUNG BÌNH    6
W35_TRUNG VỊ      7
W36_2010          7
W36_2011          7
W36_2012          7
W36_2013          7
W36_2014          7
W36_2015          7
W36_2016          7
W36_2017          7
W36_2018          7
W36_2019          7
W36_2020          7
W36_2021          7
W36_2022          7
W36_2023          7
W36_2024          7
W36_TRUNG BÌNH    7
W36_TRUNG VỊ      7
W37_2010          7
W37_2011          7
W37_2012          7
W37_2013          7
W37_2014          7
W37_2015          7
W37_2016          7
W37_2017          7
W37_2018          7
W37_2019          7
W37_2020          7
W37_2021          7
W37_2022          7
W37_2023          7
W37_2024          7
W37_TRUNG BÌNH    7
W37_TRUNG VỊ      7
W38_2010          7
W38_2011          7
W38_2012          7
W38_2013          7
W38_2014          7
W38_2015          7
W38_2016          7
W38_2017          7
W38_2018          7
W38_2019          7
W38_2020          7
W38_2021          7
W38_2022          7
W38_2023          7
W38_2024          7
W38_TRUNG BÌNH    7
W38_TRUNG VỊ      7
W39_2010          7
W39_2011          7
W39_2012          7
W39_2013          7
W39_2014          7
W39_2015          7
W39_2016          7
W39_2017          7
W39_2018          7
W39_2019          7
W39_2020          7
W39_2021          7
W39_2022          7
W39_2023          7
W39_2024          7
W39_TRUNG BÌNH    7
W39_TRUNG VỊ      7
W3_2010           7
W3_2011           7
W3_2012           7
W3_2013           7
W3_2014           7
W3_2015           7
W3_2016           7
W3_2017           7
W3_2018           7
W3_2019           7
W3_2020           7
W3_2021           7
W3_2022           7
W3_2023           7
W3_2024           7
W3_2025           7
W3_TRUNG BÌNH     7
W3_TRUNG VỊ       7
W40_2010          7
W40_2011          7
W40_2012          7
W40_2013          7
W40_2014          7
W40_2015          7
W40_2016          7
W40_2017          7
W40_2018          7
W40_2019          7
W40_2020          7
W40_2021          7
W40_2022          7
W40_2023          7
W40_2024          7
W40_TRUNG BÌNH    6
W40_TRUNG VỊ      7
W41_2010          7
W41_2011          7
W41_2012          7
W41_2013          7
W41_2014          7
W41_2015          7
W41_2016          7
W41_2017          7
W41_2018          7
W41_2019          7
W41_2020          7
W41_2021          7
W41_2022          7
W41_2023          7
W41_2024          7
W41_TRUNG BÌNH    7
W41_TRUNG VỊ      7
W42_2010          7
W42_2011          7
W42_2012          7
W42_2013          7
W42_2014          7
W42_2015          7
W42_2016          7
W42_2017          7
W42_2018          7
W42_2019          7
W42_2020          7
W42_2021          7
W42_2022          7
W42_2023          7
W42_2024          7
W42_TRUNG BÌNH    7
W42_TRUNG VỊ      7
W43_2010          7
W43_2011          7
W43_2012          7
W43_2013          7
W43_2014          7
W43_2015          7
W43_2016          7
W43_2017          7
W43_2018          7
W43_2019          7
W43_2020          7
W43_2021          7
W43_2022          7
W43_2023          7
W43_2024          7
W43_TRUNG BÌNH    7
W43_TRUNG VỊ      7
W44_2010          7
W44_2011          7
W44_2012          7
W44_2013          6
W44_2014          7
W44_2015          7
W44_2016          7
W44_2017          7
W44_2018          7
W44_2019          7
W44_2020          7
W44_2021          7
W44_2022          7
W44_2023          7
W44_2024          7
W44_TRUNG BÌNH    7
W44_TRUNG VỊ      7
W45_2010          7
W45_2011          7
W45_2012          7
W45_2013          7
W45_2014          7
W45_2015          7
W45_2016          7
W45_2017          7
W45_2018          7
W45_2019          7
W45_2020          6
W45_2021          7
W45_2022          7
W45_2023          7
W45_2024          7
W45_TRUNG BÌNH    7
W45_TRUNG VỊ      7
W46_2010          7
W46_2011          7
W46_2012          7
W46_2013          6
W46_2014          7
W46_2015          7
W46_2016          7
W46_2017          7
W46_2018          7
W46_2019          7
W46_2020          7
W46_2021          7
W46_2022          7
W46_2023          7
W46_2024          7
W46_TRUNG BÌNH    7
W46_TRUNG VỊ      6
W47_2010          7
W47_2011          7
W47_2012          7
W47_2013          7
W47_2014          7
W47_2015          7
W47_2016          7
W47_2017          7
W47_2018          7
W47_2019          7
W47_2020          7
W47_2021          7
W47_2022          7
W47_2023          7
W47_2024          7
W47_TRUNG BÌNH    7
W47_TRUNG VỊ      7
W48_2010          7
W48_2011          7
W48_2012          7
W48_2013          7
W48_2014          7
W48_2015          7
W48_2016          7
W48_2017          7
W48_2018          7
W48_2019          7
W48_2020          7
W48_2021          7
W48_2022          7
W48_2023          7
W48_2024          7
W48_TRUNG BÌNH    7
W48_TRUNG VỊ      6
W49_2010          7
W49_2011          7
W49_2012          7
W49_2013          7
W49_2014          7
W49_2015          6
W49_2016          7
W49_2017          7
W49_2018          6
W49_2019          7
W49_2020          7
W49_2021          7
W49_2022          7
W49_2023          7
W49_2024          7
W49_TRUNG BÌNH    7
W49_TRUNG VỊ      7
W4_2010           7
W4_2011           7
W4_2013           7
W4_2014           7
W4_2015           7
W4_2016           7
W4_2017           7
W4_2018           7
W4_2019           7
W4_2020           7
W4_2021           7
W4_2022           7
W4_2023           7
W4_2024           7
W4_2025           7
W4_TRUNG BÌNH     7
W4_TRUNG VỊ       7
W50_2010          6
W50_2011          7
W50_2012          7
W50_2013          7
W50_2014          7
W50_2015          7
W50_2016          7
W50_2017          7
W50_2018          7
W50_2019          7
W50_2020          7
W50_2021          7
W50_2022          7
W50_2023          7
W50_2024          7
W50_TRUNG BÌNH    6
W50_TRUNG VỊ      6
W51_2010          7
W51_2011          7
W51_2012          7
W51_2013          7
W51_2014          7
W51_2015          7
W51_2016          7
W51_2017          7
W51_2018          7
W51_2019          7
W51_2020          7
W51_2021          7
W51_2022          7
W51_2023          7
W51_2024          7
W51_TRUNG BÌNH    7
W51_TRUNG VỊ      7
W52_2010          7
W52_2011          7
W52_2012          7
W52_2013          7
W52_2014          7
W52_2015          7
W52_2016          7
W52_2017          7
W52_2018          7
W52_2019          7
W52_2020          7
W52_2021          7
W52_2022          7
W52_2023          7
W52_2024          7
W52_TRUNG BÌNH    7
W52_TRUNG VỊ      6
W53_2010          7
W53_2011          7
W53_2013          7
W53_2014          7
W53_2015          7
W53_2016          7
W53_2019          7
W53_2020          7
W53_2021          7
W53_2022          7
W53_2024          7
W53_TRUNG BÌNH    6
W53_TRUNG VỊ      6
W5_2010           7
W5_2011           7
W5_2012           7
W5_2013           7
W5_2014           7
W5_2015           7
W5_2016           7
W5_2017           7
W5_2018           7
W5_2019           7
W5_2020           7
W5_2021           7
W5_2022           7
W5_2023           7
W5_2024           7
W5_TRUNG BÌNH     7
W5_TRUNG VỊ       7
W6_2010           7
W6_2012           7
W6_2013           7
W6_2014           7
W6_2015           7
W6_2016           7
W6_2017           7
W6_2018           7
W6_2020           7
W6_2021           7
W6_2023           7
W6_2024           7
W6_2025           7
W6_TRUNG BÌNH     7
W6_TRUNG VỊ       7
W7_2010           7
W7_2011           7
W7_2012           7
W7_2014           7
W7_2015           7
W7_2017           7
W7_2018           7
W7_2019           7
W7_2020           7
W7_2021           7
W7_2022           7
W7_2023           7
W7_2024           7
W7_2025           7
W7_TRUNG BÌNH     6
W7_TRUNG VỊ       7
W8_2011           7
W8_2012           7
W8_2013           7
W8_2014           7
W8_2016           7
W8_2017           7
W8_2018           7
W8_2019           7
W8_2020           7
W8_2021           7
W8_2022           7
W8_2023           7
W8_2024           7
W8_2025           7
W8_TRUNG BÌNH     7
W8_TRUNG VỊ       7
W9_2010           7
W9_2011           7
W9_2012           7
W9_2013           7
W9_2014           7
W9_2015           7
W9_2016           7
W9_2017           7
W9_2018           7
W9_2019           7
W9_2020           7
W9_2021           7
W9_2022           7
W9_2023           7
W9_2024           7
W9_2025           7
W9_TRUNG BÌNH     7
W9_TRUNG VỊ       7
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Industry:
['Chăm sóc sức khỏe', 'Công nghiệp', 'Nguyên vật liệu', 'Năng lượng', 'Tiêu dùng không thiết yếu', 'Tiêu dùng thiết yếu', 'Tài chính']..., số giá trị độc nhất: 7
Type of Value:
['Hiệu suất ngành']..., số giá trị độc nhất: 1
M10_2010:
['-4.42%', '-12.95%', '-1.69%', '-0.90%', '-8.34%', '+3.52%', '-2.61%']..., số giá trị độc nhất: 7
M10_2011:
['+1.47%', '-4.85%', '-0.78%', '+0.40%', '-7.20%', '+2.22%', '-1.57%']..., số giá trị độc nhất: 7
M10_2012:
['-2.49%', '+0.80%', '+2.06%', '+2.22%', '+0.19%', '+2.16%', '-3.52%']..., số giá trị độc nhất: 7
M10_2013:
['+1.49%', '+7.00%', '+1.68%', '-0.35%', '-0.08%', '-0.93%', '+3.66%']..., số giá trị độc nhất: 7
M10_2014:
['+1.32%', '-1.02%', '+0.46%', '-2.20%', '+2.79%', '+0.43%', '+0.82%']..., số giá trị độc nhất: 7
M10_2015:
['+2.35%', '+9.81%', '+3.99%', '+6.08%', '+11.86%', '+9.42%', '+7.88%']..., số giá trị độc nhất: 7
M10_2016:
['-6.92%', '+12.56%', '-3.57%', '-8.63%', '-1.67%', '+2.36%', '-3.67%']..., số giá trị độc nhất: 7
M10_2017:
['-2.24%', '+12.48%', '-3.40%', '-2.07%', '-1.82%', '+2.78%', '+3.12%']..., số giá trị độc nhất: 7
M10_2018:
['-6.57%', '-6.68%', '-5.93%', '-14.52%', '-10.26%', '-8.22%', '-10.87%']..., số giá trị độc nhất: 7
M10_2019:
['-0.88%', '+0.01%', '-0.22%', '-1.49%', '-1.63%', '-0.07%', '+2.97%']..., số giá trị độc nhất: 7
M10_2020:
['+0.08%', '-3.47%', '+6.25%', '-1.76%', '-1.71%', '+4.42%', '+0.77%']..., số giá trị độc nhất: 7
M10_2021:
['+4.18%', '+12.54%', '+11.98%', '+24.90%', '+9.68%', '+5.34%', '+4.12%']..., số giá trị độc nhất: 7
M10_2022:
['-4.85%', '-2.77%', '-18.58%', '-17.71%', '-13.18%', '-6.41%', '-6.36%']..., số giá trị độc nhất: 7
M10_2023:
['-5.69%', '-8.61%', '-12.18%', '-17.26%', '-13.27%', '-11.84%', '-7.52%']..., số giá trị độc nhất: 7
M10_2024:
['-2.06%', '+7.47%', '-2.67%', '-9.22%', '-3.06%', '+1.41%', '-1.22%']..., số giá trị độc nhất: 7
M10_TRUNG BÌNH:
['-1.68%', '+1.49%', '-1.51%', '-2.83%', '-2.51%', '+0.44%', '-0.93%']..., số giá trị độc nhất: 7
M10_TRUNG VỊ:
['-2.06%', '+0.01%', '-0.78%', '-1.76%', '-1.71%', '+2.16%', '-1.22%']..., số giá trị độc nhất: 7
M11_2010:
['-7.15%', '-0.83%', '-1.37%', '+6.50%', '-1.74%', '+2.03%', '-2.55%']..., số giá trị độc nhất: 7
M11_2011:
['-7.89%', '-18.83%', '-13.75%', '-10.94%', '-8.44%', '-3.66%', '-12.13%']..., số giá trị độc nhất: 7
M11_2012:
['-1.49%', '-2.75%', '-0.95%', '-1.72%', '+0.16%', '-1.29%', '-0.76%']..., số giá trị độc nhất: 7
M11_2013:
['+1.90%', '+10.09%', '+4.58%', '+8.14%', '+6.56%', '+0.74%', '+0.63%']..., số giá trị độc nhất: 7
M11_2014:
['+2.26%', '+3.61%', '-0.32%', '-17.37%', '+0.31%', '-2.74%', '-3.17%']..., số giá trị độc nhất: 7
M11_2015:
['-3.56%', '-1.44%', '-2.91%', '-11.74%', '-0.59%', '+1.30%', '-10.61%']..., số giá trị độc nhất: 7
M11_2016:
['+0.18%', '+22.74%', '-0.35%', '-4.76%', '+1.02%', '-0.05%', '-4.11%']..., số giá trị độc nhất: 7
M11_2017:
['+9.45%', '+9.12%', '+7.71%', '+18.49%', '+3.44%', '+16.11%', '+15.47%']..., số giá trị độc nhất: 7
M11_2018:
['-1.31%', '+3.92%', '-5.67%', '-2.98%', '-0.76%', '+6.91%', '-0.74%']..., số giá trị độc nhất: 7
M11_2019:
['+3.10%', '-5.08%', '+0.19%', '-1.31%', '-4.20%', '-6.97%', '-2.32%']..., số giá trị độc nhất: 7
M11_2020:
['+3.04%', '+13.32%', '+16.13%', '+15.32%', '+7.35%', '+5.40%', '+11.46%']..., số giá trị độc nhất: 7
M11_2021:
['+6.98%', '+3.99%', '-2.36%', '-14.55%', '+8.93%', '-0.64%', '+7.42%']..., số giá trị độc nhất: 7
M11_2022:
['+5.29%', '+8.77%', '-0.99%', '-7.68%', '-3.06%', '+3.86%', '+5.63%']..., số giá trị độc nhất: 7
M11_2023:
['+2.55%', '+8.39%', '+14.63%', '+14.99%', '+7.18%', '+5.42%', '+4.61%']..., số giá trị độc nhất: 7
M11_2024:
['+2.57%', '+7.11%', '-0.77%', '-4.61%', '-2.22%', '+3.18%', '-2.03%']..., số giá trị độc nhất: 7
M11_TRUNG BÌNH:
['+1.06%', '+4.14%', '+0.92%', '-0.95%', '+0.93%', '+1.97%', '+0.45%']..., số giá trị độc nhất: 7
M11_TRUNG VỊ:
['+2.26%', '+3.99%', '-0.77%', '-2.98%', '+0.16%', '+1.30%', '-0.76%']..., số giá trị độc nhất: 7
M12_2010:
['+2.15%', '-0.22%', '+3.10%', '+4.40%', '+6.21%', '+6.13%', '+12.20%']..., số giá trị độc nhất: 7
M12_2011:
['-4.26%', '-7.56%', '-7.01%', '-8.07%', '+1.46%', '-15.12%', '-7.75%']..., số giá trị độc nhất: 7
M12_2012:
['+9.56%', '+14.85%', '+7.81%', '+10.48%', '+8.39%', '+8.04%', '+16.12%']..., số giá trị độc nhất: 7
M12_2013:
['+3.69%', '+4.60%', '+0.29%', '+3.70%', '+3.97%', '-2.24%', '-3.83%']..., số giá trị độc nhất: 7
M12_2014:
['-0.76%', '-6.96%', '+0.59%', '-15.08%', '-0.10%', '-2.16%', '+1.84%']..., số giá trị độc nhất: 7
M12_2015:
['+0.47%', '+4.23%', '+2.82%', '-13.75%', '-1.62%', '+3.62%', '+2.21%']..., số giá trị độc nhất: 7
M12_2016:
['-1.84%', '+3.30%', '-0.22%', '-6.20%', '-2.07%', '+15.12%', '-0.57%']..., số giá trị độc nhất: 7
M12_2017:
['+3.13%', '+16.65%', '+6.15%', '+24.92%', '+7.85%', '-1.44%', '+4.71%']..., số giá trị độc nhất: 7
M12_2018:
['+0.36%', '+5.69%', '-1.57%', '-7.70%', '-1.63%', '+1.64%', '-2.88%']..., số giá trị độc nhất: 7
M12_2019:
['+3.51%', '+0.22%', '-4.66%', '-6.51%', '+1.41%', '-4.59%', '+4.39%']..., số giá trị độc nhất: 7
M12_2020:
['+10.67%', '+12.34%', '+20.25%', '+47.45%', '+10.35%', '+5.59%', '+14.74%']..., số giá trị độc nhất: 7
M12_2021:
['+4.71%', '+0.51%', '-3.19%', '+8.95%', '+0.64%', '+3.43%', '+2.00%']..., số giá trị độc nhất: 7
M12_2022:
['+3.13%', '+4.51%', '+0.60%', '-8.36%', '-1.95%', '-3.10%', '+0.30%']..., số giá trị độc nhất: 7
M12_2023:
['+0.59%', '+3.82%', '+4.59%', '+0.29%', '+2.74%', '+4.55%', '+2.99%']..., số giá trị độc nhất: 7
M12_2024:
['+3.01%', '+4.84%', '+2.71%', '+16.33%', '+1.45%', '+9.58%', '+2.44%']..., số giá trị độc nhất: 7
M12_TRUNG BÌNH:
['+2.54%', '+4.06%', '+2.15%', '+3.39%', '+2.47%', '+1.94%', '+3.26%']..., số giá trị độc nhất: 7
M12_TRUNG VỊ:
['+3.01%', '+4.23%', '+0.60%', '+0.29%', '+1.45%', '+3.43%', '+2.21%']..., số giá trị độc nhất: 7
M1_2010:
['-2.31%', '-7.42%', '-4.36%', '-11.50%', '-7.25%', '+1.83%', '-4.92%']..., số giá trị độc nhất: 7
M1_2011:
['-4.92%', '-6.89%', '-0.94%', '+3.28%', '-1.18%', '+7.67%', '+8.47%']..., số giá trị độc nhất: 7
M1_2012:
['+7.94%', '+2.07%', '+5.53%', '+7.43%', '+3.09%', '+8.67%', '+16.73%']..., số giá trị độc nhất: 7
M1_2013:
['+1.94%', '+14.22%', '+12.44%', '+17.92%', '+5.74%', '+14.59%', '+18.94%']..., số giá trị độc nhất: 7
M1_2014:
['+11.57%', '+8.19%', '+8.39%', '+24.15%', '+5.30%', '+7.93%', '+8.85%']..., số giá trị độc nhất: 7
M1_2015:
['-0.25%', '+2.27%', '-1.36%', '-6.39%', '+3.46%', '+3.83%', '+15.22%']..., số giá trị độc nhất: 7
M1_2016:
['-2.63%', '-1.87%', '-6.07%', '-10.39%', '-3.40%', '-10.48%', '-8.09%']..., số giá trị độc nhất: 7
M1_2017:
['+8.96%', '+6.78%', '-0.58%', '+3.85%', '-1.74%', '+4.06%', '+12.74%']..., số giá trị độc nhất: 7
M1_2018:
['+0.23%', '+4.16%', '+18.87%', '+15.79%', '+13.90%', '+7.37%', '+28.21%']..., số giá trị độc nhất: 7
M1_2019:
['-0.02%', '+4.42%', '-5.40%', '+0.55%', '-0.82%', '+1.84%', '+1.73%']..., số giá trị độc nhất: 7
M1_2020:
['+5.44%', '-7.51%', '-0.96%', '-3.34%', '-3.22%', '-7.16%', '+1.92%']..., số giá trị độc nhất: 7
M1_2021:
['-1.41%', '-4.03%', '-6.43%', '+2.57%', '+2.01%', '-6.30%', '-7.10%']..., số giá trị độc nhất: 7
M1_2022:
['-6.83%', '-8.77%', '-11.40%', '+0.47%', '-3.87%', '-6.16%', '+4.79%']..., số giá trị độc nhất: 7
M1_2023:
['+2.70%', '+6.17%', '+14.46%', '+29.92%', '+8.96%', '+5.28%', '+13.43%']..., số giá trị độc nhất: 7
M1_2024:
['+0.24%', '+9.10%', '+0.59%', '+2.92%', '+2.33%', '+0.04%', '+7.86%']..., số giá trị độc nhất: 7
M1_2025:
['-1.50%', '+4.01%', '-0.09%', '-7.33%', '+1.34%', '-3.75%', '+1.26%']..., số giá trị độc nhất: 7
M1_TRUNG BÌNH:
['+1.20%', '+1.56%', '+1.42%', '+4.37%', '+1.54%', '+1.83%', '+7.50%']..., số giá trị độc nhất: 7
M1_TRUNG VỊ:
['+0.11%', '+3.14%', '-0.76%', '+2.75%', '+1.67%', '+2.84%', '+8.17%']..., số giá trị độc nhất: 7
M2_2010:
['+1.25%', '+0.87%', '+7.53%', '-2.19%', '+2.43%', '+5.37%', '+10.53%']..., số giá trị độc nhất: 7
M2_2011:
['-5.15%', '-12.13%', '-11.10%', '-1.71%', '-7.44%', '-6.68%', '-10.38%']..., số giá trị độc nhất: 7
M2_2012:
['+3.14%', '+12.84%', '+11.47%', '+12.89%', '+2.58%', '+8.76%', '+13.34%']..., số giá trị độc nhất: 7
M2_2013:
['+2.83%', '+5.19%', '-1.13%', '-7.55%', '+3.54%', '-1.12%', '-3.95%']..., số giá trị độc nhất: 7
M2_2014:
['+2.62%', '+15.77%', '+6.16%', '+10.74%', '+7.32%', '+4.50%', '+4.52%']..., số giá trị độc nhất: 7
M2_2015:
['+0.43%', '+2.19%', '-0.13%', '+0.93%', '+2.16%', '+2.93%', '+4.68%']..., số giá trị độc nhất: 7
M2_2016:
['+22.49%', '+4.86%', '+1.38%', '+3.07%', '-0.23%', '+4.03%', '+2.02%']..., số giá trị độc nhất: 7
M2_2017:
['+4.82%', '+7.27%', '+3.19%', '+4.86%', '+2.99%', '+0.08%', '-1.62%']..., số giá trị độc nhất: 7
M2_2018:
['-1.62%', '-0.88%', '-1.57%', '-10.18%', '+0.90%', '-2.61%', '+9.31%']..., số giá trị độc nhất: 7
M2_2019:
['+11.67%', '+2.77%', '+5.60%', '+6.81%', '+2.67%', '+5.01%', '+3.44%']..., số giá trị độc nhất: 7
M2_2020:
['-5.25%', '-11.18%', '+4.80%', '-0.26%', '-1.90%', '-6.85%', '-1.87%']..., số giá trị độc nhất: 7
M2_2021:
['+0.32%', '+12.21%', '+14.16%', '+39.80%', '+10.65%', '+6.70%', '+14.00%']..., số giá trị độc nhất: 7
M2_2022:
['+10.78%', '+11.30%', '+12.49%', '+15.54%', '+9.04%', '+5.59%', '-2.53%']..., số giá trị độc nhất: 7
M2_2023:
['+0.81%', '-5.63%', '-8.77%', '-3.98%', '-7.63%', '-5.96%', '-6.29%']..., số giá trị độc nhất: 7
M2_2024:
['+3.35%', '+7.08%', '+12.29%', '+7.86%', '+4.86%', '+9.57%', '+8.66%']..., số giá trị độc nhất: 7
M2_2025:
['+3.68%', '-0.66%', '+11.55%', '+3.43%', '+5.00%', '+0.81%', '+4.19%']..., số giá trị độc nhất: 7
M2_TRUNG BÌNH:
['+3.51%', '+3.24%', '+4.25%', '+5.00%', '+2.31%', '+1.88%', '+3.00%']..., số giá trị độc nhất: 7
M2_TRUNG VỊ:
['+2.72%', '+3.82%', '+5.20%', '+3.25%', '+2.63%', '+3.48%']..., số giá trị độc nhất: 6
M3_2010:
['+4.71%', '+5.09%', '+4.84%', '+0.89%', '+4.18%', '-0.26%', '-5.06%']..., số giá trị độc nhất: 7
M3_2011:
['-2.26%', '-7.39%', '-2.70%', '-0.44%', '+0.56%', '-1.84%', '-0.62%']..., số giá trị độc nhất: 7
M3_2012:
['+0.32%', '+9.01%', '+3.04%', '+3.00%', '+4.56%', '+1.94%', '+11.76%']..., số giá trị độc nhất: 7
M3_2013:
['+13.94%', '+1.20%', '+4.76%', '+1.80%', '+0.21%', '+8.63%', '-3.91%']..., số giá trị độc nhất: 7
M3_2014:
['+5.42%', '+7.30%', '+3.39%', '+1.19%', '+3.74%', '-0.38%', '+1.32%']..., số giá trị độc nhất: 7
M3_2015:
['-3.28%', '-3.19%', '-2.88%', '-17.79%', '-3.77%', '-4.05%', '-6.86%']..., số giá trị độc nhất: 7
M3_2016:
['+0.63%', '+7.30%', '+19.91%', '-0.77%', '+3.04%', '+2.85%', '-3.67%']..., số giá trị độc nhất: 7
M3_2017:
['+9.57%', '+1.08%', '+4.72%', '-8.14%', '+2.88%', '+0.28%', '+3.25%']..., số giá trị độc nhất: 7
M3_2018:
['+0.45%', '+2.63%', '-2.75%', '-10.77%', '-1.62%', '+7.05%', '+3.59%']..., số giá trị độc nhất: 7
M3_2019:
['+5.76%', '+0.65%', '+3.15%', '-4.68%', '+3.02%', '-1.46%', '+4.87%']..., số giá trị độc nhất: 7
M3_2020:
['-16.25%', '-17.39%', '-16.20%', '-32.25%', '-22.18%', '-15.14%', '-27.60%']..., số giá trị độc nhất: 7
M3_2021:
['+4.38%', '+4.13%', '+43.38%', '+5.72%', '+0.30%', '+6.42%']..., số giá trị độc nhất: 6
M3_2022:
['-1.18%', '+4.81%', '+4.19%', '-2.16%', '+3.30%', '+2.69%', '-1.43%']..., số giá trị độc nhất: 7
M3_2023:
['-2.18%', '+0.08%', '+3.10%', '-2.62%', '-0.71%', '-1.68%', '+5.25%']..., số giá trị độc nhất: 7
M3_2024:
['+3.66%', '+7.32%', '+5.39%', '+3.72%', '+7.35%', '+2.57%', '+1.38%']..., số giá trị độc nhất: 7
M3_2025:
['+0.03%', '+0.35%', '-0.81%', '-4.09%', '+1.48%', '-0.46%', '+3.04%']..., số giá trị độc nhất: 7
M3_TRUNG BÌNH:
['+1.58%', '+1.51%', '+2.42%', '-1.71%', '+0.69%', '+0.10%', '-0.75%']..., số giá trị độc nhất: 7
M3_TRUNG VỊ:
['+0.63%', '+2.63%', '+3.39%', '-0.77%', '+3.02%', '+0.28%', '+1.32%']..., số giá trị độc nhất: 7
M4_2010:
['+1.77%', '+15.49%', '+9.25%', '+7.21%', '+15.43%', '+9.26%', '+2.80%']..., số giá trị độc nhất: 7
M4_2011:
['-1.40%', '-10.08%', '-6.47%', '-1.77%', '-4.84%', '+18.68%', '+0.61%']..., số giá trị độc nhất: 7
M4_2012:
['+2.00%', '+13.99%', '+15.51%', '+7.85%', '+20.03%', '+2.92%', '+6.54%']..., số giá trị độc nhất: 7
M4_2013:
['-0.76%', '-6.64%', '+0.10%', '-4.29%', '-4.03%', '-1.52%', '-5.39%']..., số giá trị độc nhất: 7
M4_2014:
['-1.65%', '-9.10%', '-5.09%', '-3.20%', '-8.74%', '-2.12%', '-8.58%']..., số giá trị độc nhất: 7
M4_2015:
['-0.94%', '+2.51%', '+0.69%', '+16.50%', '+2.64%', '+1.91%']..., số giá trị độc nhất: 6
M4_2016:
['+2.52%', '+3.44%', '-0.73%', '+5.07%', '+4.16%', '+3.46%', '+6.93%']..., số giá trị độc nhất: 7
M4_2017:
['+1.33%', '-2.68%', '-1.79%', '-5.46%', '+2.78%', '+0.93%', '-2.82%']..., số giá trị độc nhất: 7
M4_2018:
['-6.79%', '-15.10%', '-8.78%', '-15.24%', '-13.29%', '-8.17%', '-12.47%']..., số giá trị độc nhất: 7
M4_2019:
['-2.28%', '-1.16%', '-1.70%', '+15.87%', '+0.99%', '-1.90%', '-2.24%']..., số giá trị độc nhất: 7
M4_2020:
['+14.12%', '+29.46%', '+19.95%', '+33.67%', '+15.16%', '+18.86%', '+14.04%']..., số giá trị độc nhất: 7
M4_2021:
['-1.65%', '-3.26%', '+6.44%', '-15.95%', '-0.36%', '-1.76%', '+5.62%']..., số giá trị độc nhất: 7
M4_2022:
['-2.85%', '-10.18%', '-9.60%', '-23.64%', '-9.52%', '-2.94%']..., số giá trị độc nhất: 6
M4_2023:
['+6.64%', '-2.51%', '+3.83%', '+4.50%', '+3.22%', '-3.71%', '-1.15%']..., số giá trị độc nhất: 7
M4_2024:
['-1.18%', '+0.32%', '-7.95%', '-6.93%', '-1.82%', '-4.91%', '-5.45%']..., số giá trị độc nhất: 7
M4_TRUNG BÌNH:
['+0.59%', '+0.30%', '+0.91%', '+0.95%', '+1.45%', '+1.93%', '-0.57%']..., số giá trị độc nhất: 7
M4_TRUNG VỊ:
['-0.94%', '-2.51%', '-0.73%', '-1.77%', '+0.99%', '-1.52%', '-1.15%']..., số giá trị độc nhất: 7
M5_2010:
['-2.09%', '-7.74%', '-7.47%', '-6.59%', '-9.32%', '-0.06%', '-5.26%']..., số giá trị độc nhất: 7
M5_2011:
['-8.28%', '-22.57%', '-9.70%', '-13.22%', '-10.86%', '-11.95%', '-7.16%']..., số giá trị độc nhất: 7
M5_2012:
['-0.09%', '-8.67%', '-4.05%', '-6.66%', '-3.56%', '-5.33%', '-9.12%']..., số giá trị độc nhất: 7
M5_2013:
['+9.36%', '+16.07%', '+11.05%', '+25.78%', '+11.43%', '+4.99%', '+7.76%']..., số giá trị độc nhất: 7
M5_2014:
['-4.53%', '-5.90%', '-1.40%', '-0.16%', '-2.06%', '-4.18%', '-0.12%']..., số giá trị độc nhất: 7
M5_2015:
['-4.43%', '+0.89%', '-1.46%', '-3.89%', '-3.56%', '-1.22%', '+10.51%']..., số giá trị độc nhất: 7
M5_2016:
['-2.39%', '+1.03%', '-0.82%', '+16.35%', '+3.84%', '+0.83%', '+3.28%']..., số giá trị độc nhất: 7
M5_2017:
['+20.56%', '-3.46%', '+2.52%', '-5.01%', '+14.24%', '-0.20%', '+7.27%']..., số giá trị độc nhất: 7
M5_2018:
['-2.67%', '-8.51%', '-0.69%', '-11.66%', '-0.24%', '-4.71%', '-10.38%']..., số giá trị độc nhất: 7
M5_2019:
['-3.53%', '+2.09%', '+1.02%', '-3.16%', '+2.67%', '+2.11%', '-4.11%']..., số giá trị độc nhất: 7
M5_2020:
['+0.96%', '+1.21%', '+11.50%', '+14.68%', '+6.48%', '+10.86%', '+15.35%']..., số giá trị độc nhất: 7
M5_2021:
['+5.54%', '-0.23%', '+13.45%', '+17.09%', '+2.95%', '+1.83%', '+20.05%']..., số giá trị độc nhất: 7
M5_2022:
['-4.56%', '-4.39%', '-11.95%', '+21.12%', '-5.69%', '-2.43%', '-7.64%']..., số giá trị độc nhất: 7
M5_2023:
['+6.44%', '+6.78%', '+5.33%', '+14.20%', '+4.29%', '+0.35%', '+2.94%']..., số giá trị độc nhất: 7
M5_2024:
['+6.60%', '+18.45%', '+12.96%', '+23.49%', '+12.63%', '+13.13%', '+1.12%']..., số giá trị độc nhất: 7
M5_TRUNG BÌNH:
['+1.13%', '-1.00%', '+1.35%', '+5.49%', '+1.55%', '+0.27%', '+1.63%']..., số giá trị độc nhất: 7
M5_TRUNG VỊ:
['-2.09%', '-0.23%', '-0.69%', '-0.16%', '+2.67%', '-0.06%', '+1.12%']..., số giá trị độc nhất: 7
M6_2010:
['+0.75%', '-0.23%', '+0.21%', '-2.19%', '-0.18%', '-0.25%', '+0.22%']..., số giá trị độc nhất: 7
M6_2011:
['+9.03%', '+3.94%', '+1.29%', '-8.89%', '+0.25%', '+2.70%', '-0.28%']..., số giá trị độc nhất: 7
M6_2012:
['+1.38%', '-4.14%', '-0.87%', '-0.88%', '-0.96%', '+0.08%', '-2.90%']..., số giá trị độc nhất: 7
M6_2013:
['+3.01%', '-4.87%', '-6.73%', '-5.20%', '+0.63%', '-7.32%', '-3.45%']..., số giá trị độc nhất: 7
M6_2014:
['+0.05%', '+3.04%', '+3.09%', '+2.14%', '+2.81%', '-1.93%', '+3.06%']..., số giá trị độc nhất: 7
M6_2015:
['-1.22%', '+2.88%', '+1.68%', '+4.63%', '-5.89%', '+3.78%', '+8.72%']..., số giá trị độc nhất: 7
M6_2016:
['+24.52%', '+7.89%', '+6.94%', '-1.53%', '+14.72%', '+1.00%', '-1.37%']..., số giá trị độc nhất: 7
M6_2017:
['+7.07%', '+0.68%', '+6.09%', '-4.85%', '+9.23%', '+3.93%', '+8.03%']..., số giá trị độc nhất: 7
M6_2018:
['+0.94%', '+9.74%', '-3.45%', '+4.17%', '+0.06%', '+0.10%', '-6.68%']..., số giá trị độc nhất: 7
M6_2019:
['+0.36%', '+9.11%', '-0.71%', '-3.46%', '-0.58%', '-0.32%', '+0.54%']..., số giá trị độc nhất: 7
M6_2020:
['+0.56%', '+1.90%', '-3.30%', '+7.55%', '-0.36%', '-3.60%', '-4.24%']..., số giá trị độc nhất: 7
M6_2021:
['+5.44%', '+12.67%', '+6.52%', '+22.45%', '+5.03%', '+4.59%', '+4.57%']..., số giá trị độc nhất: 7
M6_2022:
['-5.02%', '-7.54%', '-10.12%', '-2.44%', '-6.05%', '-1.42%', '-7.87%']..., số giá trị độc nhất: 7
M6_2023:
['+10.07%', '+1.13%', '+11.08%', '+4.50%', '+6.47%', '+3.84%', '+5.41%']..., số giá trị độc nhất: 7
M6_2024:
['+2.73%', '+16.47%', '-1.27%', '-2.68%', '+2.42%', '+5.34%', '-1.95%']..., số giá trị độc nhất: 7
M6_TRUNG BÌNH:
['+3.98%', '+3.51%', '+0.70%', '+0.89%', '+1.84%', '+0.12%']..., số giá trị độc nhất: 6
M6_TRUNG VỊ:
['+1.38%', '+2.88%', '+0.21%', '-1.53%', '+0.25%', '+0.10%', '-0.28%']..., số giá trị độc nhất: 7
M7_2010:
['-2.40%', '-4.35%', '-3.20%', '-4.89%', '-2.59%', '+0.95%', '-3.99%']..., số giá trị độc nhất: 7
M7_2011:
['+8.15%', '-9.87%', '-5.14%', '-2.12%', '-0.54%', '-3.17%', '-2.81%']..., số giá trị độc nhất: 7
M7_2012:
['-0.09%', '-3.84%', '-3.86%', '-1.48%', '-0.80%', '-0.82%']..., số giá trị độc nhất: 6
M7_2013:
['+14.96%', '-1.23%', '-0.22%', '+3.89%', '+1.72%', '+4.32%', '-3.08%']..., số giá trị độc nhất: 7
M7_2014:
['-0.17%', '+7.05%', '+1.71%', '+16.85%', '+6.29%', '+5.02%', '-0.79%']..., số giá trị độc nhất: 7
M7_2015:
['-1.51%', '+2.79%', '+4.31%', '-1.18%', '-2.48%', '+7.63%', '+9.34%']..., số giá trị độc nhất: 7
M7_2016:
['-1.66%', '+0.73%', '+1.13%', '-9.50%', '-5.35%', '+6.00%']..., số giá trị độc nhất: 6
M7_2017:
['-3.52%', '+0.23%', '-1.27%', '-0.01%', '-2.63%', '+2.09%', '+1.46%']..., số giá trị độc nhất: 7
M7_2018:
['-1.02%', '-5.14%', '+0.33%', '-3.57%', '+1.16%', '+0.20%', '-1.77%']..., số giá trị độc nhất: 7
M7_2019:
['-3.21%', '+1.42%', '+5.19%', '-9.68%', '+4.84%', '-0.57%', '+6.89%']..., số giá trị độc nhất: 7
M7_2020:
['+0.40%', '-4.34%', '-2.03%', '-10.40%', '-6.77%', '-1.78%', '-3.74%']..., số giá trị độc nhất: 7
M7_2021:
['+0.28%', '-3.12%', '-4.42%', '-8.17%', '-1.03%', '+3.45%', '-9.33%']..., số giá trị độc nhất: 7
M7_2022:
['+2.18%', '+9.99%', '+0.90%', '-11.35%', '-2.89%', '+1.74%', '+4.95%']..., số giá trị độc nhất: 7
M7_2023:
['+2.69%', '+4.93%', '+9.19%', '+14.96%', '+12.19%', '+9.13%', '+7.71%']..., số giá trị độc nhất: 7
M7_2024:
['+8.49%', '-3.92%', '-2.38%', '+2.76%', '+3.27%', '+0.95%', '+3.79%']..., số giá trị độc nhất: 7
M7_TRUNG BÌNH:
['+1.57%', '-0.58%', '+0.02%', '-1.75%', '+0.25%', '+2.35%', '+0.92%']..., số giá trị độc nhất: 7
M7_TRUNG VỊ:
['-0.09%', '-1.23%', '-0.22%', '-3.57%', '-1.03%', '+1.74%', '-0.79%']..., số giá trị độc nhất: 7
M8_2010:
['-1.24%', '-17.28%', '-7.14%', '-7.79%', '-13.56%', '-6.27%', '-7.78%']..., số giá trị độc nhất: 7
M8_2011:
['+4.36%', '+5.61%', '+0.12%', '+0.82%', '+16.70%', '+11.36%', '+0.04%']..., số giá trị độc nhất: 7
M8_2012:
['+10.25%', '-8.71%', '+2.36%', '+2.52%', '-3.35%', '+4.91%', '-12.82%']..., số giá trị độc nhất: 7
M8_2013:
['-3.56%', '-1.68%', '+1.17%', '+6.93%', '+1.29%', '-6.87%', '-3.33%']..., số giá trị độc nhất: 7
M8_2014:
['+2.30%', '+8.56%', '+5.65%', '+18.76%', '+12.20%', '+2.25%', '+4.65%']..., số giá trị độc nhất: 7
M8_2015:
['-8.37%', '-4.60%', '-2.06%', '-17.00%', '-3.54%', '-4.18%', '-11.03%']..., số giá trị độc nhất: 7
M8_2016:
['+6.09%', '+3.79%', '+4.35%', '+8.00%', '-0.58%', '+15.12%', '-1.74%']..., số giá trị độc nhất: 7
M8_2017:
['-1.97%', '+10.25%', '+2.92%', '-0.29%', '+3.32%', '+0.49%', '-3.64%']..., số giá trị độc nhất: 7
M8_2018:
['-1.53%', '+6.33%', '+4.68%', '+15.55%', '+5.95%', '+2.91%', '+7.35%']..., số giá trị độc nhất: 7
M8_2019:
['+0.59%', '-1.49%', '+1.41%', '-10.12%', '+2.22%', '-2.59%', '-0.10%']..., số giá trị độc nhất: 7
M8_2020:
['+8.34%', '+12.27%', '+13.21%', '+13.81%', '+16.82%', '+11.79%', '+13.15%']..., số giá trị độc nhất: 7
M8_2021:
['+21.45%', '+16.81%', '+11.94%', '+3.23%', '+5.71%', '-0.59%']..., số giá trị độc nhất: 6
M8_2022:
['-1.46%', '+7.83%', '+8.96%', '+11.61%', '+8.09%', '+7.11%', '+6.51%']..., số giá trị độc nhất: 7
M8_2023:
['-1.93%', '-0.51%', '+0.23%', '+5.50%', '+0.15%', '+2.81%', '+1.43%']..., số giá trị độc nhất: 7
M8_2024:
['-0.24%', '+4.40%', '+0.79%', '+4.62%', '+3.72%', '+5.72%', '+3.09%']..., số giá trị độc nhất: 7
M8_TRUNG BÌNH:
['+2.21%', '+2.77%', '+3.24%', '+3.74%', '+3.68%', '+3.18%', '-0.32%']..., số giá trị độc nhất: 7
M8_TRUNG VỊ:
['-0.24%', '+4.40%', '+2.36%', '+4.62%', '+3.32%', '+2.91%', '-0.10%']..., số giá trị độc nhất: 7
M9_2010:
['-3.03%', '-1.49%', '-0.51%', '-1.41%', '-3.87%', '+1.84%', '+0.50%']..., số giá trị độc nhất: 7
M9_2011:
['+7.49%', '-3.68%', '-1.36%', '-5.16%', '-3.89%', '+4.01%', '+1.07%']..., số giá trị độc nhất: 7
M9_2012:
['-0.10%', '-9.85%', '-4.19%', '+1.29%', '-3.38%', '+2.11%', '-5.54%']..., số giá trị độc nhất: 7
M9_2013:
['+5.25%', '+1.46%', '+5.53%', '+10.01%', '+5.57%', '+5.64%', '+2.23%']..., số giá trị độc nhất: 7
M9_2014:
['+1.04%', '+3.82%', '-1.07%', '-0.54%', '+7.94%', '-2.70%', '-3.55%']..., số giá trị độc nhất: 7
M9_2015:
['-1.85%', '+5.62%', '-0.08%', '-3.86%', '+3.23%', '-1.61%', '+0.93%']..., số giá trị độc nhất: 7
M9_2016:
['+5.36%', '+9.65%', '+3.32%', '+2.56%', '-0.22%', '-5.60%', '+0.21%']..., số giá trị độc nhất: 7
M9_2017:
['-4.26%', '+11.85%', '+5.21%', '+2.37%', '-0.40%', '+4.16%', '+1.65%']..., số giá trị độc nhất: 7
M9_2018:
['+6.13%', '+5.70%', '+5.03%', '+19.18%', '+5.43%', '+2.61%', '+3.43%']..., số giá trị độc nhất: 7
M9_2019:
['+3.14%', '-1.87%', '-3.12%', '-1.66%', '+2.74%', '+1.62%', '+4.23%']..., số giá trị độc nhất: 7
M9_2020:
['+0.50%', '+8.54%', '+7.54%', '+11.44%', '+3.33%', '+3.58%', '+4.31%']..., số giá trị độc nhất: 7
M9_2021:
['-9.47%', '+4.14%', '+5.21%', '+12.30%', '+7.51%', '+4.72%', '+0.46%']..., số giá trị độc nhất: 7
M9_2022:
['-0.95%', '-8.07%', '-12.30%', '-20.36%', '-12.57%', '-7.31%', '-13.12%']..., số giá trị độc nhất: 7
M9_2023:
['-1.87%', '-2.07%', '-2.53%', '+12.50%', '-1.53%', '-4.19%', '-3.96%']..., số giá trị độc nhất: 7
M9_2024:
['+0.50%', '-2.70%', '+1.19%', '+3.24%', '-3.16%', '+1.57%', '+2.83%']..., số giá trị độc nhất: 7
M9_TRUNG BÌNH:
['+0.53%', '+1.40%', '+0.52%', '+2.79%', '+0.45%', '+0.70%', '-0.29%']..., số giá trị độc nhất: 7
M9_TRUNG VỊ:
['+0.50%', '+1.46%', '-0.08%', '+2.37%', '-0.22%', '+1.84%', '+0.93%']..., số giá trị độc nhất: 7
Q1_2010:
['+3.57%', '-1.86%', '+7.81%', '-12.67%', '-1.01%', '+7.02%', '-0.23%']..., số giá trị độc nhất: 7
Q1_2011:
['-11.85%', '-24.23%', '-14.31%', '+1.07%', '-8.02%', '-1.37%', '-3.39%']..., số giá trị độc nhất: 7
Q1_2012:
['+11.69%', '+25.55%', '+21.21%', '+24.91%', '+10.57%', '+20.48%', '+47.86%']..., số giá trị độc nhất: 7
Q1_2013:
['+19.44%', '+21.59%', '+16.45%', '+10.99%', '+9.71%', '+23.08%', '+9.78%']..., số giá trị độc nhất: 7
Q1_2014:
['+20.69%', '+34.40%', '+18.97%', '+39.13%', '+17.23%', '+12.36%', '+15.28%']..., số giá trị độc nhất: 7
Q1_2015:
['-3.10%', '+1.17%', '-4.32%', '-22.33%', '+1.71%', '+2.55%', '+12.34%']..., số giá trị độc nhất: 7
Q1_2016:
['+20.02%', '+10.41%', '+14.19%', '-8.36%', '-0.69%', '-4.22%', '-9.68%']..., số giá trị độc nhất: 7
Q1_2017:
['+25.15%', '+15.78%', '+7.44%', '+0.04%', '+4.12%', '+4.44%', '+14.51%']..., số giá trị độc nhất: 7
Q1_2018:
['-0.95%', '+5.96%', '+13.79%', '-7.20%', '+13.06%', '+11.94%', '+45.18%']..., số giá trị độc nhất: 7
Q1_2019:
['+18.09%', '+8.01%', '+3.04%', '+2.37%', '+4.90%', '+5.38%', '+10.35%']..., số giá trị độc nhất: 7
Q1_2020:
['-16.33%', '-32.14%', '-13.02%', '-34.68%', '-26.12%', '-26.62%', '-27.59%']..., số giá trị độc nhất: 7
Q1_2021:
['+3.23%', '+12.13%', '+11.50%', '+105.59%', '+19.32%', '+0.28%', '+12.71%']..., số giá trị độc nhất: 7
Q1_2022:
['+2.00%', '+6.42%', '+3.85%', '+13.58%', '+8.28%', '+1.75%', '+0.68%']..., số giá trị độc nhất: 7
Q1_2023:
['+1.28%', '+0.27%', '+7.66%', '+21.48%', '-0.07%', '-2.66%', '+11.88%']..., số giá trị độc nhất: 7
Q1_2024:
['+7.40%', '+25.38%', '+19.04%', '+15.14%', '+15.19%', '+12.44%', '+18.82%']..., số giá trị độc nhất: 7
Q1_2025:
['+2.24%', '+3.68%', '+10.55%', '-8.07%', '+7.98%', '-3.42%', '+8.71%']..., số giá trị độc nhất: 7
Q1_TRUNG BÌNH:
['+6.69%', '+7.25%', '+7.55%', '+9.94%', '+4.55%', '+4.46%', '+10.57%']..., số giá trị độc nhất: 7
Q1_TRUNG VỊ:
['+3.57%', '+8.01%', '+7.81%', '+2.37%', '+4.90%', '+4.44%', '+11.88%']..., số giá trị độc nhất: 7
Q2_2010:
['+0.39%', '+6.31%', '+1.30%', '-2.04%', '+4.50%', '+8.92%', '-2.39%']..., số giá trị độc nhất: 7
Q2_2011:
['-1.40%', '-27.64%', '-14.45%', '-22.33%', '-14.96%', '+7.32%', '-6.86%']..., số giá trị độc nhất: 7
Q2_2012:
['+3.31%', '-0.20%', '+9.87%', '-0.23%', '+14.66%', '-2.49%', '-5.99%']..., số giá trị độc nhất: 7
Q2_2013:
['+11.80%', '+3.09%', '+3.68%', '+14.11%', '+7.62%', '-4.17%', '-1.57%']..., số giá trị độc nhất: 7
Q2_2014:
['-6.05%', '-11.87%', '-3.53%', '-1.28%', '-8.12%', '-8.02%', '-5.89%']..., số giá trị độc nhất: 7
Q2_2015:
['-6.49%', '+6.41%', '+0.88%', '+17.15%', '-6.85%', '+4.48%', '+23.16%']..., số giá trị độc nhất: 7
Q2_2016:
['+24.61%', '+12.75%', '+5.29%', '+20.39%', '+24.09%', '+5.36%', '+8.92%']..., số giá trị độc nhất: 7
Q2_2017:
['+30.80%', '-5.41%', '+6.82%', '-14.55%', '+28.25%', '+4.70%', '+12.61%']..., số giá trị độc nhất: 7
Q2_2018:
['-8.42%', '-14.76%', '-12.53%', '-22.00%', '-13.44%', '-12.41%', '-26.79%']..., số giá trị độc nhất: 7
Q2_2019:
['-5.39%', '+10.09%', '-1.40%', '+8.32%', '+3.09%', '-0.14%', '-5.76%']..., số giá trị độc nhất: 7
Q2_2020:
['+15.86%', '+33.52%', '+29.33%', '+64.86%', '+22.17%', '+27.03%', '+25.97%']..., số giá trị độc nhất: 7
Q2_2021:
['+9.44%', '+8.76%', '+28.63%', '+20.50%', '+7.74%', '+4.64%', '+32.58%']..., số giá trị độc nhất: 7
Q2_2022:
['-11.93%', '-20.60%', '-28.46%', '-9.77%', '-19.82%', '-6.65%', '-23.01%']..., số giá trị độc nhất: 7
Q2_2023:
['+24.94%', '+5.27%', '+21.49%', '+24.70%', '+14.62%', '+0.33%', '+7.26%']..., số giá trị độc nhất: 7
Q2_2024:
['+8.22%', '+38.41%', '+2.66%', '+11.86%', '+13.25%', '+13.31%', '-6.25%']..., số giá trị độc nhất: 7
Q2_TRUNG BÌNH:
['+5.98%', '+2.94%', '+3.31%', '+7.31%', '+5.12%', '+2.81%', '+1.73%']..., số giá trị độc nhất: 7
Q2_TRUNG VỊ:
['+3.31%', '+5.27%', '+2.66%', '+8.32%', '+7.62%', '+4.48%', '-2.39%']..., số giá trị độc nhất: 7
Q3_2010:
['-6.53%', '-22.06%', '-10.57%', '-13.54%', '-19.06%', '-3.63%', '-11.02%']..., số giá trị độc nhất: 7
Q3_2011:
['+21.31%', '-8.31%', '-6.32%', '-6.41%', '+11.55%', '+12.15%', '-1.73%']..., số giá trị độc nhất: 7
Q3_2012:
['+10.04%', '-20.86%', '-5.72%', '-0.15%', '-8.00%', '+6.26%', '-18.32%']..., số giá trị độc nhất: 7
Q3_2013:
['+16.69%', '-1.47%', '+6.53%', '+22.22%', '+8.77%', '+2.63%', '-4.23%']..., số giá trị độc nhất: 7
Q3_2014:
['+3.19%', '+20.64%', '+6.30%', '+38.02%', '+28.72%', '+4.49%', '+0.13%']..., số giá trị độc nhất: 7
Q3_2015:
['-11.42%', '+3.57%', '+2.08%', '-21.14%', '-2.90%', '+1.47%', '-1.81%']..., số giá trị độc nhất: 7
Q3_2016:
['+9.92%', '+14.63%', '+9.03%', '+0.24%', '-6.10%', '+15.19%', '+4.37%']..., số giá trị độc nhất: 7
Q3_2017:
['-9.45%', '+23.58%', '+6.90%', '+2.06%', '+0.19%', '+6.86%', '-0.62%']..., số giá trị độc nhất: 7
Q3_2018:
['+3.44%', '+6.61%', '+10.31%', '+32.80%', '+13.00%', '+5.81%', '+9.07%']..., số giá trị độc nhất: 7
Q3_2019:
['+0.42%', '-1.96%', '+3.34%', '-20.17%', '+10.11%', '-1.58%', '+11.30%']..., số giá trị độc nhất: 7
Q3_2020:
['+9.32%', '+16.56%', '+19.28%', '+13.65%', '+12.54%', '+13.72%', '+13.62%']..., số giá trị độc nhất: 7
Q3_2021:
['+10.27%', '+17.85%', '+12.57%', '+6.45%', '+12.48%', '+11.83%', '-9.45%']..., số giá trị độc nhất: 7
Q3_2022:
['-0.27%', '+9.03%', '-3.58%', '-21.20%', '-8.23%', '+1.01%', '-2.89%']..., số giá trị độc nhất: 7
Q3_2023:
['-1.18%', '+2.24%', '+6.67%', '+36.44%', '+10.63%', '+7.50%', '+4.92%']..., số giá trị độc nhất: 7
Q3_2024:
['+8.78%', '-2.40%', '-0.44%', '+10.99%', '+3.73%', '+8.41%', '+10.03%']..., số giá trị độc nhất: 7
Q3_TRUNG BÌNH:
['+4.30%', '+3.84%', '+3.76%', '+5.35%', '+4.50%', '+6.14%', '+0.22%']..., số giá trị độc nhất: 7
Q3_TRUNG VỊ:
['+3.44%', '+3.57%', '+6.30%', '+2.06%', '+8.77%', '+6.26%', '-0.62%']..., số giá trị độc nhất: 7
Q4_2010:
['-9.34%', '-13.86%', '-0.03%', '+10.19%', '-4.34%', '+12.09%', '+6.48%']..., số giá trị độc nhất: 7
Q4_2011:
['-10.51%', '-28.61%', '-20.42%', '-17.80%', '-13.79%', '-16.41%', '-20.21%']..., số giá trị độc nhất: 7
Q4_2012:
['+5.24%', '+12.59%', '+8.99%', '+10.98%', '+8.77%', '+8.95%', '+11.19%']..., số giá trị độc nhất: 7
Q4_2013:
['+7.23%', '+23.21%', '+6.65%', '+11.76%', '+10.70%', '-2.44%', '+0.32%']..., số giá trị độc nhất: 7
Q4_2014:
['+2.82%', '-4.59%', '+0.73%', '-31.37%', '+3.01%', '-4.44%', '-0.59%']..., số giá trị độc nhất: 7
Q4_2015:
['-0.83%', '+12.81%', '+3.82%', '-19.25%', '+9.40%', '+14.86%', '-1.43%']..., số giá trị độc nhất: 7
Q4_2016:
['-8.47%', '+42.72%', '-4.12%', '-18.37%', '-2.73%', '+17.77%', '-8.16%']..., số giá trị độc nhất: 7
Q4_2017:
['+10.35%', '+43.17%', '+10.45%', '+44.96%', '+9.54%', '+17.62%', '+24.68%']..., số giá trị độc nhất: 7
Q4_2018:
['-7.46%', '+2.49%', '-12.65%', '-23.45%', '-12.39%', '-0.27%', '-14.08%']..., số giá trị độc nhất: 7
Q4_2019:
['+5.78%', '-4.86%', '-4.68%', '-9.11%', '-4.43%', '-11.30%', '+5.00%']..., số giá trị độc nhất: 7
Q4_2020:
['+14.14%', '+22.88%', '+48.37%', '+67.06%', '+16.44%', '+16.20%', '+28.88%']..., số giá trị độc nhất: 7
Q4_2021:
['+16.71%', '+17.62%', '+5.85%', '+16.27%', '+20.24%', '+8.26%', '+14.09%']..., số giá trị độc nhất: 7
Q4_2022:
['+3.32%', '+10.53%', '-18.90%', '-30.38%', '-17.48%', '-5.81%', '-0.79%']..., số giá trị độc nhất: 7
Q4_2023:
['-2.71%', '+2.85%', '+5.29%', '-4.58%', '-4.49%', '-2.83%', '-0.37%']..., số giá trị độc nhất: 7
Q4_2024:
['+3.48%', '+20.69%', '-0.80%', '+0.74%', '-3.83%', '+14.66%', '-0.87%']..., số giá trị độc nhất: 7
Q4_TRUNG BÌNH:
['+1.98%', '+10.64%', '+1.90%', '+0.51%', '+0.97%', '+4.46%', '+2.94%']..., số giá trị độc nhất: 7
Q4_TRUNG VỊ:
['+3.32%', '+12.59%', '+0.73%', '-4.58%', '-2.73%', '+8.26%', '-0.37%']..., số giá trị độc nhất: 7
W10_2010:
['+2.01%', '+8.35%', '+4.42%', '+7.28%', '+3.41%', '+4.22%', '-0.30%']..., số giá trị độc nhất: 7
W10_2011:
['-1.78%', '-8.07%', '-6.36%', '-2.15%', '-2.14%', '-0.84%', '-2.19%']..., số giá trị độc nhất: 7
W10_2012:
['-1.22%', '+3.61%', '-1.03%', '-2.77%', '-1.41%', '-2.25%', '-4.33%']..., số giá trị độc nhất: 7
W10_2013:
['+2.22%', '-3.43%', '+0.92%', '+0.16%', '-2.09%', '+0.29%', '-2.93%']..., số giá trị độc nhất: 7
W10_2014:
['+2.39%', '+0.80%', '-0.13%', '-4.52%', '+0.31%', '-2.25%', '-1.98%']..., số giá trị độc nhất: 7
W10_2015:
['+0.95%', '+2.57%', '+0.75%', '+1.19%', '-0.88%', '+0.44%', '-0.89%']..., số giá trị độc nhất: 7
W10_2016:
['+3.42%', '+2.25%', '+2.60%', '+3.38%', '-1.14%', '+0.67%', '-0.30%']..., số giá trị độc nhất: 7
W10_2017:
['+2.31%', '+2.84%', '+0.68%', '-1.75%', '+1.67%', '-1.50%', '+0.46%']..., số giá trị độc nhất: 7
W10_2018:
['-1.41%', '-0.60%', '-2.28%', '-6.95%', '-1.16%', '+2.23%', '-0.22%']..., số giá trị độc nhất: 7
W10_2019:
['+2.00%', '+0.30%', '+0.73%', '+4.02%', '+1.42%', '-0.95%', '+0.97%']..., số giá trị độc nhất: 7
W10_2020:
['0%', '+6.80%', '+1.58%', '+8.22%', '-1.22%', '+0.98%', '+2.14%']..., số giá trị độc nhất: 7
W10_2021:
['+0.42%', '+2.77%', '+2.91%', '+29.97%', '+3.40%', '-0.89%', '+0.93%']..., số giá trị độc nhất: 7
W10_2022:
['+0.41%', '+1.96%', '+6.66%', '+2.51%', '+0.27%', '+0.80%', '-1.32%']..., số giá trị độc nhất: 7
W10_2023:
['-0.69%', '+2.29%', '+2.87%', '+1.44%', '+1.08%', '+2.02%', '+2.92%']..., số giá trị độc nhất: 7
W10_2024:
['+0.95%', '+0.48%', '-0.08%', '-0.48%', '+1.09%', '+4.52%', '-2.10%']..., số giá trị độc nhất: 7
W10_2025:
['-0.05%', '-0.83%', '-1.01%', '-3.14%', '+1.29%', '+0.07%', '+1.96%']..., số giá trị độc nhất: 7
W10_TRUNG BÌNH:
['+0.75%', '+1.38%', '+0.83%', '+2.27%', '+0.24%', '+0.47%', '-0.45%']..., số giá trị độc nhất: 7
W10_TRUNG VỊ:
['+0.68%', '+2.10%', '+0.74%', '+0.67%', '+0.29%', '+0.36%', '-0.30%']..., số giá trị độc nhất: 7
W11_2010:
['+3.28%', '+5.26%', '+6.32%', '+3.93%', '+3.65%', '+3.14%', '+1.85%']..., số giá trị độc nhất: 7
W11_2011:
['+3.32%', '+3.68%', '+5.97%', '+8.72%', '+9.09%', '+8.36%', '+7.34%']..., số giá trị độc nhất: 7
W11_2012:
['+0.19%', '+1.77%', '-0.20%', '-2.32%', '+0.81%', '-0.75%', '+5.15%']..., số giá trị độc nhất: 7
W11_2013:
['+4.08%', '+6.96%', '+2.85%', '+3.40%', '+2.76%', '+2.88%', '+0.64%']..., số giá trị độc nhất: 7
W11_2014:
['+6.63%', '+3.15%', '+1.76%', '+2.84%', '+1.60%', '+5.27%', '+2.07%']..., số giá trị độc nhất: 7
W11_2015:
['-0.98%', '-1.64%', '-0.51%', '-4.62%', '-0.81%', '-0.59%', '-0.57%']..., số giá trị độc nhất: 7
W11_2016:
['+0.67%', '+2.02%', '+2.62%', '+4.95%', '-1.20%', '+2.01%', '-1.32%']..., số giá trị độc nhất: 7
W11_2017:
['+1.29%', '-2.64%', '+1.21%', '-1.64%', '+2.04%', '+1.18%', '-0.21%']..., số giá trị độc nhất: 7
W11_2018:
['+2.34%', '-3.68%', '-0.25%', '-2.39%', '-0.19%', '+2.14%', '+7.01%']..., số giá trị độc nhất: 7
W11_2019:
['+1.07%', '+1.52%', '+1.94%', '-0.14%', '+2.33%', '-0.09%', '+4.42%']..., số giá trị độc nhất: 7
W11_2020:
['-8.54%', '-14.83%', '-9.12%', '-16.42%', '-16.60%', '-9.51%', '-16.96%']..., số giá trị độc nhất: 7
W11_2021:
['+2.30%', '+0.63%', '+2.53%', '+2.76%', '-0.13%', '+0.80%', '+2.56%']..., số giá trị độc nhất: 7
W11_2022:
['-1.71%', '+0.53%', '+0.07%', '+1.29%', '+0.15%', '-3.31%', '-2.42%']..., số giá trị độc nhất: 7
W11_2023:
['-0.89%', '-1.36%', '-2.27%', '-4.38%', '-2.00%', '-1.13%', '-0.81%']..., số giá trị độc nhất: 7
W11_2024:
['+0.63%', '+5.28%', '+5.13%', '+1.63%', '+2.03%', '-2.00%', '+0.44%']..., số giá trị độc nhất: 7
W11_2025:
['+0.09%', '+1.19%', '+0.20%', '-0.98%', '+0.19%', '-0.53%', '+1.06%']..., số giá trị độc nhất: 7
W11_TRUNG BÌNH:
['+0.91%', '+0.44%', '+1.20%', '-0.16%', '+0.24%', '+0.56%', '+0.61%']..., số giá trị độc nhất: 7
W11_TRUNG VỊ:
['+1.07%', '+1.52%', '+1.76%', '+1.29%', '+0.81%', '+0.80%', '+0.64%']..., số giá trị độc nhất: 7
W12_2010:
['-2.28%', '-3.44%', '-2.57%', '-3.56%', '-1.46%', '-2.64%', '-5.03%']..., số giá trị độc nhất: 7
W12_2011:
['-2.79%', '+1.48%', '-1.31%', '-6.26%', '-4.68%', '-9.29%', '-2.86%']..., số giá trị độc nhất: 7
W12_2012:
['+1.54%', '+6.10%', '+3.48%', '+8.80%', '+4.95%', '+3.74%', '+4.61%']..., số giá trị độc nhất: 7
W12_2013:
['+9.08%', '-2.15%', '+0.02%', '-2.80%', '-1.07%', '+5.29%', '-2.21%']..., số giá trị độc nhất: 7
W12_2014:
['-1.85%', '+6.21%', '+1.82%', '+0.01%', '+3.98%', '-0.66%', '+2.91%']..., số giá trị độc nhất: 7
W12_2015:
['-0.68%', '-0.29%', '-0.61%', '-6.46%', '+0.80%', '-2.79%', '-2.45%']..., số giá trị độc nhất: 7
W12_2016:
['-0.98%', '+0.25%', '+1.95%', '+0.99%', '+1.47%', '+0.74%', '+0.03%']..., số giá trị độc nhất: 7
W12_2017:
['+0.64%', '-0.45%', '+0.21%', '-0.19%', '-1.89%', '+1.73%', '+4.40%']..., số giá trị độc nhất: 7
W12_2018:
['+3.02%', '-2.55%', '-0.88%', '+4.54%', '+0.66%', '+0.29%', '-2.95%']..., số giá trị độc nhất: 7
W12_2019:
['+0.51%', '-0.92%', '+1.88%', '-6.20%', '-2.55%', '-0.90%', '-1.42%']..., số giá trị độc nhất: 7
W12_2020:
['-3.59%', '-0.55%', '-3.61%', '-4.95%', '+2.70%', '-5.84%', '-7.35%']..., số giá trị độc nhất: 7
W12_2021:
['+1.45%', '+0.17%', '+0.81%', '+0.87%', '+1.31%', '+0.95%', '+2.46%']..., số giá trị độc nhất: 7
W12_2022:
['-1.49%', '-0.40%', '-2.11%', '-4.35%', '-1.23%', '-0.88%', '+1.28%']..., số giá trị độc nhất: 7
W12_2023:
['+0.48%', '-0.80%', '-0.58%', '-3.48%', '-0.73%', '-1.02%', '+0.24%']..., số giá trị độc nhất: 7
W12_2024:
['+1.98%', '-0.54%', '-0.46%', '+0.18%', '+1.40%', '-0.21%', '+2.70%']..., số giá trị độc nhất: 7
W12_TRUNG BÌNH:
['+0.34%', '+0.14%', '-0.13%', '-1.53%', '+0.24%', '-0.76%', '-0.38%']..., số giá trị độc nhất: 7
W12_TRUNG VỊ:
['+0.48%', '-0.45%', '-0.46%', '-2.80%', '+0.66%', '-0.66%', '+0.03%']..., số giá trị độc nhất: 7
W13_2010:
['+1.55%', '-3.42%', '-1.69%', '-3.54%', '-1.29%', '-3.89%', '+0.61%']..., số giá trị độc nhất: 7
W13_2011:
['-0.60%', '-2.77%', '-0.06%', '+0.07%', '-2.33%', '+1.49%', '-3.97%']..., số giá trị độc nhất: 7
W13_2012:
['-0.18%', '-5.29%', '-1.47%', '-1.96%', '-1.80%', '-2.93%', '-1.20%']..., số giá trị độc nhất: 7
W13_2013:
['-1.15%', '+0.48%', '+1.02%', '+2.16%', '+1.06%', '-0.61%', '-0.90%']..., số giá trị độc nhất: 7
W13_2014:
['-1.11%', '-2.07%', '+0.31%', '+3.77%', '-1.31%', '-2.08%', '-0.71%']..., số giá trị độc nhất: 7
W13_2015:
['-2.02%', '-3.63%', '-2.17%', '-8.43%', '-2.73%', '-1.76%', '-2.49%']..., số giá trị độc nhất: 7
W13_2016:
['-0.53%', '+5.90%', '+7.76%', '-4.52%', '+5.42%', '-1.44%', '-1.10%']..., số giá trị độc nhất: 7
W13_2017:
['+5.56%', '+0.25%', '+2.02%', '-2.26%', '+0.48%', '-0.31%', '-1.65%']..., số giá trị độc nhất: 7
W13_2018:
['-2.45%', '+9.39%', '+0.34%', '-12.09%', '+0.39%', '+1.66%', '+1.32%']..., số giá trị độc nhất: 7
W13_2019:
['+0.99%', '-0.80%', '-2.58%', '-2.55%', '-0.04%', '-0.29%', '-0.32%']..., số giá trị độc nhất: 7
W13_2020:
['-2.46%', '-5.23%', '-5.50%', '-10.99%', '-5.68%', '+1.81%', '-2.09%']..., số giá trị độc nhất: 7
W13_2021:
['-1.56%', '-1.31%', '-3.81%', '-0.49%', '-1.19%', '-2.82%', '-3.17%']..., số giá trị độc nhất: 7
W13_2022:
['+2.42%', '+1.10%', '+3.82%', '+0.97%', '+3.21%', '+4.09%', '+0.14%']..., số giá trị độc nhất: 7
W13_2023:
['-1.02%', '-0.69%', '+1.98%', '+0.86%', '+0.29%', '-0.13%', '+2.48%']..., số giá trị độc nhất: 7
W13_2024:
['+0.22%', '+1.13%', '+0.19%', '+1.54%', '+1.50%', '+0.02%', '+0.21%']..., số giá trị độc nhất: 7
W13_TRUNG BÌNH:
['-0.16%', '-0.47%', '+0.01%', '-2.50%', '-0.27%', '-0.48%', '-0.86%']..., số giá trị độc nhất: 7
W13_TRUNG VỊ:
['-0.60%', '-0.80%', '+0.19%', '-1.96%', '-0.04%', '-0.31%', '-0.90%']..., số giá trị độc nhất: 7
W14_2010:
['+0.31%', '+1.49%', '+0.82%', '-0.01%', '+1.73%', '-0.99%']..., số giá trị độc nhất: 6
W14_2011:
['-1.02%', '-3.47%', '-2.56%', '-0.77%', '+0.94%', '+0.89%', '-0.42%']..., số giá trị độc nhất: 7
W14_2012:
['+0.48%', '+2.38%', '+0.76%', '+2.81%', '+2.23%', '+1.57%']..., số giá trị độc nhất: 6
W14_2013:
['+1.35%', '+0.06%', '+3.42%', '+2.07%', '+1.67%', '+3.34%', '+2.64%']..., số giá trị độc nhất: 7
W14_2014:
['-0.57%', '-3.43%', '-0.11%', '-0.38%', '-3.49%', '-0.16%', '-1.87%']..., số giá trị độc nhất: 7
W14_2015:
['-1.32%', '-0.52%', '+0.08%', '-0.32%', '-0.68%', '-0.01%']..., số giá trị độc nhất: 6
W14_2016:
['+0.72%', '-4.49%', '+0.62%', '-4.38%', '-2.34%', '-1.11%', '-3.70%']..., số giá trị độc nhất: 7
W14_2017:
['-2.43%', '-0.31%', '+0.23%', '-1.56%', '+0.07%', '+0.42%', '+0.08%']..., số giá trị độc nhất: 7
W14_2018:
['-0.76%', '-4.67%', '+0.90%', '-4.39%', '-0.51%', '-2.68%', '+4.61%']..., số giá trị độc nhất: 7
W14_2019:
['-1.35%', '-2.15%', '+1.68%', '+5.29%', '+1.36%', '+0.68%', '-0.15%']..., số giá trị độc nhất: 7
W14_2020:
['+0.08%', '+0.16%', '+2.96%', '-0.07%', '+3.25%', '+1.35%', '+0.83%']..., số giá trị độc nhất: 7
W14_2021:
['+1.94%', '+3.82%', '+4.53%', '+11.64%', '+4.32%', '+4.40%', '+7.30%']..., số giá trị độc nhất: 7
W14_2022:
['+0.24%', '+1.29%', '-0.95%', '-2.76%', '+2.52%', '+3.42%', '+1.88%']..., số giá trị độc nhất: 7
W14_2023:
['+0.55%', '+0.10%', '+2.29%', '+4.35%', '+1.77%', '-0.10%', '+0.48%']..., số giá trị độc nhất: 7
W14_2024:
['-0.31%', '+0.07%', '-3.19%', '+3.72%', '-0.94%', '-0.88%', '-3.36%']..., số giá trị độc nhất: 7
W14_TRUNG BÌNH:
['-0.14%', '-0.64%', '+0.76%', '+0.86%', '+0.87%', '+0.59%']..., số giá trị độc nhất: 6
W14_TRUNG VỊ:
['+0.08%', '+0.06%', '+0.76%', '-0.07%', '+1.36%', '+0.68%']..., số giá trị độc nhất: 6
W15_2010:
['+0.78%', '+6.31%', '+3.20%', '+4.20%', '+3.01%', '+0.67%', '-0.53%']..., số giá trị độc nhất: 7
W15_2011:
['+0.94%', '+0.06%', '-0.42%', '+4.59%', '-2.10%', '+1.16%', '+1.01%']..., số giá trị độc nhất: 7
W15_2012:
['+1.40%', '+6.23%', '+5.50%', '+3.61%', '+7.37%', '+0.98%', '+4.08%']..., số giá trị độc nhất: 7
W15_2013:
['-0.05%', '-1.64%', '-1.21%', '-2.70%', '-1.56%', '-0.56%', '-3.81%']..., số giá trị độc nhất: 7
W15_2014:
['+0.95%', '+1.85%', '-1.16%', '+2.96%', '-0.51%', '+0.33%', '-0.24%']..., số giá trị độc nhất: 7
W15_2015:
['+0.06%', '+3.19%', '+0.33%', '+1.10%', '+1.03%', '+1.52%', '+1.91%']..., số giá trị độc nhất: 7
W15_2016:
['+4.99%', '+3.89%', '+1.80%', '+1.09%', '-0.28%', '+3.86%', '+1.49%']..., số giá trị độc nhất: 7
W15_2017:
['+0.55%', '-1.11%', '-0.80%', '-1.29%', '-0.19%', '-1.26%', '-1.74%']..., số giá trị độc nhất: 7
W15_2018:
['-1.68%', '-2.95%', '-2.40%', '+2.24%', '-4.38%', '-1.83%', '-4.53%']..., số giá trị độc nhất: 7
W15_2019:
['-0.30%', '+0.38%', '-2.75%', '+1.16%', '-0.72%', '-0.93%']..., số giá trị độc nhất: 6
W15_2020:
['+6.23%', '+11.75%', '+6.38%', '+13.17%', '+4.83%', '+7.92%', '+6.77%']..., số giá trị độc nhất: 7
W15_2021:
['-0.18%', '-0.41%', '+1.38%', '+1.02%', '+0.95%', '-1.32%', '+1.08%']..., số giá trị độc nhất: 7
W15_2022:
['+0.67%', '-2.39%', '-1.86%', '+0.85%', '-3.77%', '-2.12%', '-1.89%']..., số giá trị độc nhất: 7
W15_2023:
['+1.48%', '-2.26%', '-1.21%', '+0.51%', '+0.30%', '-0.65%', '-1.19%']..., số giá trị độc nhất: 7
W15_2024:
['+1.63%', '+1.70%', '+0.95%', '-0.67%', '+0.73%', '-1.24%', '+3.17%']..., số giá trị độc nhất: 7
W15_TRUNG BÌNH:
['+1.16%', '+1.64%', '+0.52%', '+2.12%', '+0.32%', '+0.48%', '+0.31%']..., số giá trị độc nhất: 7
W15_TRUNG VỊ:
['+0.78%', '+0.38%', '-0.42%', '+1.10%', '-0.19%', '-0.30%', '-0.24%']..., số giá trị độc nhất: 7
W16_2010:
['+0.33%', '+1.13%', '-0.04%', '-2.37%', '+2.94%', '+2.03%', '+0.02%']..., số giá trị độc nhất: 7
W16_2011:
['-0.19%', '-3.13%', '-1.69%', '-1.87%', '-2.82%', '+1.78%', '-1.60%']..., số giá trị độc nhất: 7
W16_2012:
['-0.81%', '+0.09%', '+1.16%', '+2.82%', '+2.83%', '+0.27%', '+0.78%']..., số giá trị độc nhất: 7
W16_2013:
['-1.64%', '-4.05%', '-3.09%', '-3.74%', '-3.10%', '-4.42%', '-5.07%']..., số giá trị độc nhất: 7
W16_2014:
['-1.51%', '-9.39%', '-6.77%', '-8.36%', '-6.18%', '-4.60%', '-6.49%']..., số giá trị độc nhất: 7
W16_2015:
['-0.04%', '+0.57%', '+0.83%', '+13.02%', '+2.31%', '+1.92%', '+1.71%']..., số giá trị độc nhất: 7
W16_2016:
['+0.36%', '-1.08%', '+0.91%', '+1.15%', '+1.44%', '-0.18%', '-0.19%']..., số giá trị độc nhất: 7
W16_2017:
['-0.68%', '-0.83%', '-1.61%', '-2.48%', '+4.37%', '+0.34%', '-1.85%']..., số giá trị độc nhất: 7
W16_2018:
['-1.19%', '-3.72%', '-2.24%', '-3.63%', '-4.59%', '-2.35%', '-3.35%']..., số giá trị độc nhất: 7
W16_2019:
['-1.49%', '-0.90%', '-1.64%', '-1.67%', '-1.20%', '-1.08%', '-1.07%']..., số giá trị độc nhất: 7
W16_2020:
['+3.23%', '+6.69%', '+5.57%', '+7.33%', '+5.12%', '+6.25%', '+3.87%']..., số giá trị độc nhất: 7
W16_2021:
['-2.14%', '-2.53%', '+0.61%', '-5.87%', '-2.26%', '-0.35%', '-1.59%']..., số giá trị độc nhất: 7
W16_2022:
['-1.17%', '-1.95%', '-0.20%', '-4.39%', '+1.14%', '+1.12%', '-3.65%']..., số giá trị độc nhất: 7
W16_2023:
['+2.86%', '-1.09%', '+0.76%', '-3.16%', '+0.42%', '-1.12%', '-1.50%']..., số giá trị độc nhất: 7
W16_2024:
['-3.07%', '-4.51%', '-8.95%', '-10.01%', '-6.76%', '-3.98%', '-7.52%']..., số giá trị độc nhất: 7
W16_TRUNG BÌNH:
['-0.48%', '-1.65%', '-1.09%', '-1.55%', '-0.42%', '-0.29%', '-1.83%']..., số giá trị độc nhất: 7
W16_TRUNG VỊ:
['-0.81%', '-1.09%', '-0.20%', '-2.48%', '+0.42%', '-0.18%', '-1.59%']..., số giá trị độc nhất: 7
W17_2010:
['+1.04%', '+3.81%', '+2.23%', '+4.60%', '+3.12%', '+0.46%', '+1.70%']..., số giá trị độc nhất: 7
W17_2011:
['-2.01%', '-6.26%', '-4.22%', '-6.13%', '-2.30%', '+2.22%', '-1.35%']..., số giá trị độc nhất: 7
W17_2012:
['+0.93%', '+4.72%', '+7.41%', '+0.75%', '+5.74%', '-0.57%', '0%']..., số giá trị độc nhất: 7
W17_2013:
['-0.40%', '-1.14%', '+1.09%', '+0.11%', '-1.04%', '+0.27%', '+0.96%']..., số giá trị độc nhất: 7
W17_2014:
['-1.54%', '+1.41%', '+3.25%', '+1.17%', '+1.21%', '+2.65%', '-0.22%']..., số giá trị độc nhất: 7
W17_2015:
['+0.65%', '-0.61%', '-0.60%', '+4.85%', '-0.38%', '+0.50%', '-1.42%']..., số giá trị độc nhất: 7
W17_2016:
['-0.81%', '+0.82%', '+1.03%', '+3.82%', '+0.27%', '-1.04%', '+4.54%']..., số giá trị độc nhất: 7
W17_2017:
['+3.99%', '-0.47%', '+0.39%', '-0.22%', '-1.41%', '+1.46%', '+0.69%']..., số giá trị độc nhất: 7
W17_2018:
['-3.32%', '-4.69%', '-5.25%', '-10.03%', '-4.47%', '-1.56%', '-9.32%']..., số giá trị độc nhất: 7
W17_2019:
['+0.86%', '+1.54%', '+1.06%', '+10.64%', '+1.57%', '-1.20%', '-0.11%']..., số giá trị độc nhất: 7
W17_2020:
['+0.72%', '+2.75%', '+0.97%', '-1.09%', '-0.07%', '+1.88%', '-3.67%']..., số giá trị độc nhất: 7
W17_2021:
['-0.47%', '-1.42%', '-0.46%', '-9.30%', '+0.29%', '+0.09%', '+2.01%']..., số giá trị độc nhất: 7
W17_2022:
['-4.08%', '-7.36%', '-8.51%', '-20.25%', '-7.99%', '-3.31%', '-4.36%']..., số giá trị độc nhất: 7
W17_2023:
['+1.60%', '+0.75%', '+1.97%', '+2.89%', '+0.69%', '-1.89%', '+1.08%']..., số giá trị độc nhất: 7
W17_2024:
['+0.64%', '+3.23%', '+3.45%', '+0.38%', '+5.52%', '+1.15%', '+2.54%']..., số giá trị độc nhất: 7
W17_TRUNG BÌNH:
['-0.15%', '-0.19%', '+0.25%', '-1.19%', '+0.05%', '+0.07%', '-0.46%']..., số giá trị độc nhất: 7
W17_TRUNG VỊ:
['+0.64%', '+0.75%', '+1.03%', '+0.38%', '+0.27%', '0%']..., số giá trị độc nhất: 6
W18_2010:
['-0.54%', '+0.75%', '+1.31%', '-1.97%', '+3.95%', '+3.21%', '+0.41%']..., số giá trị độc nhất: 7
W18_2011:
['+0.79%', '+0.19%', '+0.31%', '+2.16%', '+2.20%', '+12.04%', '+3.73%']..., số giá trị độc nhất: 7
W18_2012:
['+0.11%', '+2.31%', '+2.87%', '+3.65%', '+1.60%', '-0.04%', '-0.82%']..., số giá trị độc nhất: 7
W18_2013:
['+0.29%', '+1.03%', '+0.69%', '+0.86%', '-0.37%', '-0.01%', '+0.01%']..., số giá trị độc nhất: 7
W18_2014:
['+0.51%', '-0.22%', '-0.54%', '+1.08%', '-0.72%', '-0.69%', '-0.81%']..., số giá trị độc nhất: 7
W18_2015:
['-0.85%', '-0.23%', '-0.30%', '-2.99%', '-0.57%', '-0.72%']..., số giá trị độc nhất: 6
W18_2016:
['-1.82%', '+2.07%', '-1.33%', '-0.95%', '+3.39%', '+1.05%', '+1.58%']..., số giá trị độc nhất: 7
W18_2017:
['-0.08%', '-0.66%', '+0.30%', '-4.23%', '+1.41%', '-0.56%', '+1.95%']..., số giá trị độc nhất: 7
W18_2018:
['-0.41%', '-0.82%', '+0.67%', '-7.69%', '+1.39%', '+0.57%', '-2.52%']..., số giá trị độc nhất: 7
W18_2019:
['-0.36%', '+0.09%', '+0.05%', '-0.67%', '-0.32%', '+0.86%', '-1.71%']..., số giá trị độc nhất: 7
W18_2020:
['+0.54%', '+1.66%', '+2.38%', '-1.42%', '-1.22%', '-2.76%', '-0.38%']..., số giá trị độc nhất: 7
W18_2021:
['+0.96%', '-0.82%', '+2.32%', '-6.64%', '-1.30%', '-2.15%', '+0.53%']..., số giá trị độc nhất: 7
W18_2022:
['+1.32%', '+1.28%', '-0.23%', '+0.98%', '-0.83%', '-0.26%', '-1.64%']..., số giá trị độc nhất: 7
W18_2023:
['+4.75%', '-0.65%', '-0.04%', '-0.14%', '-0.47%', '-0.86%', '-0.84%']..., số giá trị độc nhất: 7
W18_2024:
['-0.14%', '+6.14%', '+0.66%', '+0.53%', '+1.18%', '+2.48%', '+0.46%']..., số giá trị độc nhất: 7
W18_TRUNG BÌNH:
['+0.34%', '+0.81%', '+0.61%', '-1.16%', '+0.62%', '-0.02%']..., số giá trị độc nhất: 6
W18_TRUNG VỊ:
['+0.11%', '+0.19%', '+0.31%', '-0.67%', '-0.32%', '-0.04%', '-0.30%']..., số giá trị độc nhất: 7
W19_2010:
['-1.34%', '+2.99%', '-1.19%', '+2.32%', '+0.03%', '+1.00%', '+0.96%']..., số giá trị độc nhất: 7
W19_2011:
['+0.73%', '-1.62%', '+0.05%', '-0.32%', '-0.49%', '-1.74%', '-1.68%']..., số giá trị độc nhất: 7
W19_2012:
['+1.58%', '+1.67%', '+1.94%', '+1.21%', '+3.48%', '-0.07%', '+3.12%']..., số giá trị độc nhất: 7
W19_2013:
['+0.76%', '+4.67%', '+2.13%', '+3.11%', '+2.66%', '+1.01%', '+2.35%']..., số giá trị độc nhất: 7
W19_2014:
['-7.69%', '-10.65%', '-5.75%', '-5.77%', '-5.12%', '-6.41%', '-6.65%']..., số giá trị độc nhất: 7
W19_2015:
['-1.95%', '-2.27%', '-1.24%', '-1.10%', '-1.94%', '-1.06%', '+0.96%']..., số giá trị độc nhất: 7
W19_2016:
['-0.14%', '-0.72%', '-1.89%', '-1.13%', '-0.03%', '+1.48%', '+2.57%']..., số giá trị độc nhất: 7
W19_2017:
['+0.33%', '+1.89%', '+1.51%', '-0.71%', '+1.93%', '-0.99%', '+1.37%']..., số giá trị độc nhất: 7
W19_2018:
['+1.10%', '+4.00%', '+1.09%', '+5.26%', '+0.84%', '-0.27%', '+0.63%']..., số giá trị độc nhất: 7
W19_2019:
['-0.49%', '-2.57%', '-2.61%', '-0.35%', '-0.60%', '-0.23%', '-2.74%']..., số giá trị độc nhất: 7
W19_2020:
['-0.49%', '+0.34%', '+3.10%', '+5.17%', '+3.22%', '+4.07%', '+6.45%']..., số giá trị độc nhất: 7
W19_2021:
['+0.46%', '-0.56%', '+1.71%', '+1.33%', '-0.54%', '-3.67%', '+2.30%']..., số giá trị độc nhất: 7
W19_2022:
['-2.20%', '-1.73%', '-4.56%', '-1.34%', '-3.33%', '-4.14%']..., số giá trị độc nhất: 6
W19_2023:
['-0.48%', '+4.69%', '+3.91%', '+5.68%', '+1.80%', '+2.73%', '+2.88%']..., số giá trị độc nhất: 7
W19_2024:
['+1.01%', '+4.74%', '+5.47%', '+7.81%', '+5.54%', '+1.26%', '+0.71%']..., số giá trị độc nhất: 7
W19_TRUNG BÌNH:
['-0.59%', '+0.32%', '+0.24%', '+1.41%', '+0.50%', '-0.28%', '+0.61%']..., số giá trị độc nhất: 7
W19_TRUNG VỊ:
['-0.14%', '+0.34%', '+1.09%', '+1.21%', '+0.03%', '-0.23%', '+0.96%']..., số giá trị độc nhất: 7
W1_2012:
['+1.70%', '-4.68%', '-3.47%', '-10.20%', '-2.15%', '-6.64%', '-3.49%']..., số giá trị độc nhất: 7
W1_2013:
['-1.85%', '+3.99%', '+2.69%', '+3.73%', '+0.69%', '+0.81%', '+5.57%']..., số giá trị độc nhất: 7
W1_2014:
['+1.90%', '+0.38%', '+0.75%', '-1.20%', '+0.21%', '+0.03%', '+0.58%']..., số giá trị độc nhất: 7
W1_2017:
['+2.23%', '+6.29%', '-0.43%', '+3.16%', '-0.12%', '+0.89%', '+6.43%']..., số giá trị độc nhất: 7
W1_2018:
['-1.53%', '+5.00%', '+3.04%', '+7.13%', '+3.19%', '+4.98%', '+3.91%']..., số giá trị độc nhất: 7
W1_2019:
['-4.16%', '-1.92%', '-3.99%', '-3.94%', '-1.87%', '-1.73%', '-3.05%']..., số giá trị độc nhất: 7
W1_2020:
['+0.76%', '-0.95%', '+1.99%', '+1.54%', '+0.73%', '+0.74%', '+0.37%']..., số giá trị độc nhất: 7
W1_2023:
['-0.82%', '+1.30%', '+4.08%', '+9.88%', '+1.61%', '+3.15%', '+5.47%']..., số giá trị độc nhất: 7
W1_2024:
['+1.76%', '+1.14%', '+0.27%', '+1.12%', '+0.42%', '+1.53%', '+4.40%']..., số giá trị độc nhất: 7
W1_2025:
['+0.03%', '-0.65%', '+0.04%', '-1.88%', '-1.29%', '-2.18%', '-1.30%']..., số giá trị độc nhất: 7
W1_TRUNG BÌNH:
['+0.00%', '+0.99%', '+0.50%', '+0.93%', '+0.14%', '+0.16%', '+1.89%']..., số giá trị độc nhất: 7
W1_TRUNG VỊ:
['+0.39%', '+0.76%', '+0.51%', '+1.33%', '+0.32%', '+0.77%', '+2.24%']..., số giá trị độc nhất: 7
W20_2010:
['-1.25%', '-7.79%', '-3.79%', '-3.84%', '-5.85%', '-3.51%', '-2.82%']..., số giá trị độc nhất: 7
W20_2011:
['-0.42%', '-1.80%', '+0.13%', '-0.99%', '+1.80%', '+3.13%', '+1.58%']..., số giá trị độc nhất: 7
W20_2012:
['-4.95%', '-12.31%', '-9.66%', '-10.91%', '-9.29%', '-8.95%']..., số giá trị độc nhất: 6
W20_2013:
['+1.86%', '+0.30%', '+0.87%', '+1.46%', '+0.85%', '-0.32%', '+1.39%']..., số giá trị độc nhất: 7
W20_2014:
['-4.65%', '-2.68%', '-0.21%', '+0.65%', '-2.16%', '-1.85%', '+0.87%']..., số giá trị độc nhất: 7
W20_2015:
['-3.98%', '-0.92%', '-2.33%', '-5.82%', '-4.05%', '-3.25%', '-2.61%']..., số giá trị độc nhất: 7
W20_2016:
['-0.74%', '-0.04%', '+1.31%', '+3.62%', '+0.63%', '-0.23%', '+0.83%']..., số giá trị độc nhất: 7
W20_2017:
['+7.45%', '-0.80%', '-0.96%', '-0.50%', '+6.40%', '+0.26%', '+1.95%']..., số giá trị độc nhất: 7
W20_2018:
['-1.22%', '-1.19%', '-1.14%', '+8.93%', '+3.00%', '-0.41%', '-2.39%']..., số giá trị độc nhất: 7
W20_2019:
['-0.83%', '+1.79%', '+1.97%', '+4.96%', '+2.77%', '+2.52%', '+1.88%']..., số giá trị độc nhất: 7
W20_2020:
['+1.26%', '-0.72%', '+0.40%', '+9.45%', '+0.96%', '+2.92%', '+2.64%']..., số giá trị độc nhất: 7
W20_2021:
['-0.76%', '+0.36%', '+2.14%', '+2.48%', '+2.30%', '+4.51%', '+4.78%']..., số giá trị độc nhất: 7
W20_2022:
['-6.64%', '-6.55%', '-15.37%', '-13.56%', '-14.57%', '-8.81%', '-12.73%']..., số giá trị độc nhất: 7
W20_2023:
['+0.28%', '+1.75%', '-2.28%', '+2.49%', '-0.18%', '-1.09%', '+0.18%']..., số giá trị độc nhất: 7
W20_2024:
['+1.42%', '+0.88%', '+4.28%', '+3.22%', '+1.45%', '+5.54%', '+2.05%']..., số giá trị độc nhất: 7
W20_TRUNG BÌNH:
['-0.88%', '-1.98%', '-1.64%', '+0.11%', '-1.06%', '-0.37%', '-0.76%']..., số giá trị độc nhất: 7
W20_TRUNG VỊ:
['-0.76%', '-0.80%', '-0.21%', '+1.46%', '+0.85%', '-0.32%', '+0.87%']..., số giá trị độc nhất: 7
W21_2010:
['-6.16%', '-12.87%', '-7.89%', '-12.59%', '-9.47%', '-1.98%', '-6.75%']..., số giá trị độc nhất: 7
W21_2011:
['-0.92%', '-9.73%', '-6.01%', '-4.37%', '-10.09%', '-12.24%', '-3.83%']..., số giá trị độc nhất: 7
W21_2012:
['+0.37%', '+2.91%', '+3.93%', '+3.79%', '+0.57%', '+0.24%', '+0.17%']..., số giá trị độc nhất: 7
W21_2013:
['+4.40%', '+4.49%', '+3.53%', '+7.37%', '+3.35%', '+1.95%', '+0.79%']..., số giá trị độc nhất: 7
W21_2014:
['+5.82%', '+4.46%', '+4.07%', '+2.11%', '+3.38%', '+1.56%', '+0.97%']..., số giá trị độc nhất: 7
W21_2015:
['-0.16%', '+2.26%', '+1.91%', '+6.71%', '+4.19%', '+2.75%', '+6.28%']..., số giá trị độc nhất: 7
W21_2016:
['-0.27%', '+0.91%', '+0.17%', '+8.05%', '-0.02%', '+1.06%']..., số giá trị độc nhất: 6
W21_2017:
['+16.26%', '-2.97%', '+0.53%', '+2.66%', '+2.03%', '+1.71%', '+3.39%']..., số giá trị độc nhất: 7
W21_2018:
['-2.15%', '-9.33%', '-3.84%', '-14.08%', '-5.73%', '-4.58%', '-10.20%']..., số giá trị độc nhất: 7
W21_2019:
['-1.55%', '+1.78%', '+0.37%', '-4.83%', '+1.54%', '-0.48%', '-0.46%']..., số giá trị độc nhất: 7
W21_2020:
['-0.25%', '+1.68%', '+5.48%', '-1.14%', '+1.87%', '+1.79%', '+3.59%']..., số giá trị độc nhất: 7
W21_2021:
['+1.66%', '+0.18%', '+1.72%', '-3.43%', '+1.97%', '+0.44%', '+2.64%']..., số giá trị độc nhất: 7
W21_2022:
['+2.25%', '+1.66%', '+7.65%', '+24.12%', '+6.92%', '+4.19%', '+6.26%']..., số giá trị độc nhất: 7
W21_2023:
['+1.09%', '-1.44%', '+1.10%', '+4.43%', '+0.90%', '-1.13%', '-1.01%']..., số giá trị độc nhất: 7
W21_2024:
['+1.97%', '+0.99%', '+1.30%', '+9.64%', '+1.60%', '+1.31%', '-0.98%']..., số giá trị độc nhất: 7
W21_TRUNG BÌNH:
['+1.49%', '-1.00%', '+0.93%', '+1.90%', '+0.20%', '-0.23%', '+0.07%']..., số giá trị độc nhất: 7
W21_TRUNG VỊ:
['+0.37%', '+0.99%', '+1.30%', '+2.66%', '+1.60%', '+1.06%', '+0.17%']..., số giá trị độc nhất: 7
W22_2010:
['+9.95%', '+12.72%', '+6.66%', '+10.69%', '+7.58%', '+4.43%', '+4.68%']..., số giá trị độc nhất: 7
W22_2011:
['-7.24%', '-7.80%', '-3.58%', '-7.11%', '-3.99%', '-5.17%', '-4.47%']..., số giá trị độc nhất: 7
W22_2012:
['+1.49%', '-2.68%', '-2.60%', '-4.33%', '+0.29%', '-0.31%', '-2.24%']..., số giá trị độc nhất: 7
W22_2013:
['+1.77%', '+4.73%', '+3.41%', '+11.00%', '+4.52%', '+2.28%', '+3.02%']..., số giá trị độc nhất: 7
W22_2014:
['+2.51%', '+3.59%', '+0.74%', '+3.09%', '+2.06%', '+2.71%', '+5.06%']..., số giá trị độc nhất: 7
W22_2015:
['+1.68%', '+1.90%', '+0.24%', '-3.30%', '-1.63%', '+0.44%', '+5.74%']..., số giá trị độc nhất: 7
W22_2016:
['+0.03%', '-0.21%', '-1.15%', '-0.12%', '+1.17%', '-1.12%', '-2.31%']..., số giá trị độc nhất: 7
W22_2017:
['-4.43%', '-1.30%', '+1.49%', '-3.27%', '+1.11%', '+0.11%', '-1.31%']..., số giá trị độc nhất: 7
W22_2018:
['+0.64%', '+0.92%', '+3.76%', '-2.05%', '+1.64%', '+1.90%', '+6.82%']..., số giá trị độc nhất: 7
W22_2019:
['-0.35%', '+1.05%', '+1.29%', '-2.06%', '-0.69%', '-0.54%', '-1.09%']..., số giá trị độc nhất: 7
W22_2020:
['+0.44%', '-0.07%', '+2.12%', '+0.77%', '+0.31%', '+1.68%', '+1.90%']..., số giá trị độc nhất: 7
W22_2021:
['+3.99%', '+0.45%', '+4.70%', '+7.00%', '-0.37%', '+1.58%', '+6.21%']..., số giá trị độc nhất: 7
W22_2022:
['+2.64%', '+2.42%', '+1.27%', '+5.32%', '+6.80%', '+3.48%', '+3.54%']..., số giá trị độc nhất: 7
W22_2023:
['+2.94%', '+3.25%', '+4.08%', '+1.61%', '+4.69%', '+1.06%', '+4.89%']..., số giá trị độc nhất: 7
W22_2024:
['+2.19%', '+4.58%', '+0.73%', '+0.69%', '+2.33%', '+1.95%', '-1.09%']..., số giá trị độc nhất: 7
W22_TRUNG BÌNH:
['+1.22%', '+1.57%', '+1.54%', '+1.20%', '+1.72%', '+0.97%', '+1.96%']..., số giá trị độc nhất: 7
W22_TRUNG VỊ:
['+1.68%', '+1.05%', '+1.29%', '+0.69%', '+1.17%', '+1.58%', '+3.02%']..., số giá trị độc nhất: 7
W23_2010:
['-0.46%', '-1.76%', '-1.71%', '-4.68%', '-1.14%', '+1.03%', '-0.86%']..., số giá trị độc nhất: 7
W23_2011:
['+1.63%', '+3.65%', '+4.44%', '+5.63%', '+6.31%', '+8.50%', '+7.00%']..., số giá trị độc nhất: 7
W23_2012:
['+1.01%', '+2.36%', '+1.74%', '-1.32%', '+2.37%', '-0.76%', '+0.92%']..., số giá trị độc nhất: 7
W23_2013:
['+2.86%', '+0.96%', '-2.31%', '+2.05%', '+2.55%', '+0.26%', '+4.09%']..., số giá trị độc nhất: 7
W23_2014:
['-1.43%', '+0.14%', '-0.88%', '-1.82%', '-0.34%', '-0.45%', '-0.97%']..., số giá trị độc nhất: 7
W23_2015:
['-0.51%', '+2.50%', '-0.15%', '+3.04%', '-1.40%', '-0.48%', '+3.50%']..., số giá trị độc nhất: 7
W23_2016:
['+1.08%', '+3.59%', '+3.68%', '+7.04%', '+4.45%', '-0.56%', '+2.29%']..., số giá trị độc nhất: 7
W23_2017:
['+3.73%', '-1.17%', '+1.59%', '-3.12%', '+3.48%', '+0.43%', '+4.22%']..., số giá trị độc nhất: 7
W23_2018:
['+3.57%', '+11.03%', '+4.26%', '+5.70%', '+6.06%', '+3.24%', '+2.24%']..., số giá trị độc nhất: 7
W23_2019:
['+0.17%', '-0.73%', '+0.77%', '-0.31%', '+0.09%', '+0.44%', '-1.01%']..., số giá trị độc nhất: 7
W23_2020:
['+1.37%', '+5.14%', '+0.68%', '+19.21%', '+1.65%', '+3.01%', '+5.33%']..., số giá trị độc nhất: 7
W23_2021:
['+2.25%', '+1.95%', '+6.07%', '+31.12%', '+2.74%', '-0.29%', '+7.66%']..., số giá trị độc nhất: 7
W23_2022:
['-0.48%', '-0.76%', '-0.39%', '+13.11%', '+1.21%', '+0.66%', '-1.47%']..., số giá trị độc nhất: 7
W23_2023:
['+5.16%', '+1.51%', '+2.64%', '+0.24%', '+1.37%', '+1.60%', '+1.17%']..., số giá trị độc nhất: 7
W23_2024:
['+1.99%', '+6.38%', '+1.08%', '+3.09%', '+0.91%', '+7.49%', '+2.15%']..., số giá trị độc nhất: 7
W23_TRUNG BÌNH:
['+1.46%', '+2.32%', '+1.43%', '+5.26%', '+2.02%', '+1.61%', '+2.42%']..., số giá trị độc nhất: 7
W23_TRUNG VỊ:
['+1.37%', '+1.95%', '+1.08%', '+3.04%', '+1.65%', '+0.44%', '+2.24%']..., số giá trị độc nhất: 7
W24_2010:
['-1.05%', '-1.69%', '-2.02%', '-1.47%', '+0.29%', '-1.65%', '-1.63%']..., số giá trị độc nhất: 7
W24_2011:
['+1.31%', '+8.23%', '+1.65%', '+2.05%', '+0.31%', '-0.53%', '+1.45%']..., số giá trị độc nhất: 7
W24_2012:
['-1.59%', '+1.01%', '+0.57%', '+2.50%', '+0.06%', '+3.90%', '-0.50%']..., số giá trị độc nhất: 7
W24_2013:
['+0.13%', '+1.76%', '-1.17%', '-0.58%', '+0.45%', '-2.33%', '-4.03%']..., số giá trị độc nhất: 7
W24_2014:
['+0.86%', '+2.02%', '+2.78%', '+1.31%', '+0.67%', '+0.24%', '+2.48%']..., số giá trị độc nhất: 7
W24_2015:
['+1.66%', '+1.98%', '+2.22%', '+6.38%', '-1.51%', '+0.49%', '-1.24%']..., số giá trị độc nhất: 7
W24_2016:
['+5.65%', '+2.85%', '+0.46%', '+3.60%', '+0.35%', '+2.14%']..., số giá trị độc nhất: 6
W24_2017:
['+4.08%', '+2.90%', '+1.43%', '-1.44%', '+0.07%', '+0.26%', '+2.46%']..., số giá trị độc nhất: 7
W24_2018:
['-1.85%', '-0.95%', '-1.50%', '-4.28%', '-0.68%', '-0.14%', '-3.93%']..., số giá trị độc nhất: 7
W24_2019:
['-2.63%', '+2.47%', '-1.04%', '-2.02%', '-0.27%', '-1.49%', '+1.81%']..., số giá trị độc nhất: 7
W24_2020:
['-1.56%', '-0.12%', '-2.04%', '-8.74%', '-1.07%', '-2.68%', '-2.11%']..., số giá trị độc nhất: 7
W24_2021:
['-0.06%', '+2.35%', '-1.27%', '-4.38%', '-2.70%', '+1.77%', '-3.64%']..., số giá trị độc nhất: 7
W24_2022:
['-0.76%', '-0.73%', '+1.43%', '+10.01%', '+0.34%', '+0.82%', '-0.14%']..., số giá trị độc nhất: 7
W24_2023:
['+0.70%', '-1.25%', '-0.10%', '+2.80%', '-0.49%', '+1.51%']..., số giá trị độc nhất: 6
W24_2024:
['-0.05%', '+9.17%', '-1.79%', '-2.08%', '+0.61%', '-1.55%', '+0.19%']..., số giá trị độc nhất: 7
W24_TRUNG BÌNH:
['+0.32%', '+2.00%', '-0.03%', '+0.38%', '-0.02%', '-0.18%', '-0.35%']..., số giá trị độc nhất: 7
W24_TRUNG VỊ:
['-0.05%', '+1.98%', '-0.10%', '-0.58%', '+0.07%', '-0.14%']..., số giá trị độc nhất: 6
W25_2010:
['-1.76%', '+4.56%', '+2.98%', '+1.69%', '+1.38%', '+2.69%', '+1.43%']..., số giá trị độc nhất: 7
W25_2011:
['+0.41%', '-4.58%', '-2.92%', '-6.45%', '-0.52%', '-1.20%', '-5.13%']..., số giá trị độc nhất: 7
W25_2012:
['+0.16%', '-4.12%', '-1.46%', '-0.67%', '-1.09%', '-3.24%', '-1.24%']..., số giá trị độc nhất: 7
W25_2013:
['+2.00%', '-3.22%', '-3.07%', '-1.31%', '-1.72%', '-1.06%', '-0.16%']..., số giá trị độc nhất: 7
W25_2014:
['-1.70%', '-1.50%', '-0.72%', '+0.12%', '-0.64%', '-3.10%', '-0.31%']..., số giá trị độc nhất: 7
W25_2015:
['-2.39%', '-1.29%', '-0.92%', '-3.20%', '-0.87%', '-0.82%', '+4.37%']..., số giá trị độc nhất: 7
W25_2016:
['+4.63%', '-0.26%', '+0.62%', '-9.07%', '+2.32%', '-0.15%', '-3.41%']..., số giá trị độc nhất: 7
W25_2017:
['-0.13%', '-0.72%', '+0.50%', '-1.72%', '+7.76%', '+0.82%', '-0.18%']..., số giá trị độc nhất: 7
W25_2018:
['-0.76%', '-0.90%', '-3.16%', '+0.04%', '-4.08%', '-1.95%', '-3.32%']..., số giá trị độc nhất: 7
W25_2019:
['-0.91%', '+4.06%', '+0.46%', '+0.63%', '+1.04%', '+0.42%', '+1.54%']..., số giá trị độc nhất: 7
W25_2020:
['+1.69%', '+1.55%', '+2.57%', '+6.29%', '+0.51%', '-1.29%', '-0.77%']..., số giá trị độc nhất: 7
W25_2021:
['+3.33%', '+1.72%', '+5.16%', '+7.72%', '+3.00%', '+2.53%', '-0.06%']..., số giá trị độc nhất: 7
W25_2022:
['-5.39%', '-6.72%', '-7.36%', '+3.06%', '-4.89%', '-3.15%', '-9.07%']..., số giá trị độc nhất: 7
W25_2023:
['+0.22%', '+1.51%', '+5.58%', '+1.32%', '+2.46%', '+1.83%', '+0.58%']..., số giá trị độc nhất: 7
W25_2024:
['+3.46%', '+9.23%', '+2.91%', '+4.94%', '+3.65%', '+0.83%', '-0.81%']..., số giá trị độc nhất: 7
W25_TRUNG BÌNH:
['+0.19%', '-0.05%', '+0.08%', '+0.23%', '+0.56%', '-0.46%', '-1.10%']..., số giá trị độc nhất: 7
W25_TRUNG VỊ:
['+0.16%', '-0.72%', '+0.46%', '+0.12%', '+0.51%', '-0.82%', '-0.31%']..., số giá trị độc nhất: 7
W26_2010:
['+1.52%', '-0.73%', '+0.07%', '-1.89%', '-0.64%', '-1.43%', '-1.91%']..., số giá trị độc nhất: 7
W26_2011:
['+3.01%', '-2.72%', '-1.47%', '-2.35%', '-2.20%', '+1.35%', '-1.55%']..., số giá trị độc nhất: 7
W26_2012:
['+3.31%', '-3.34%', '-1.63%', '-0.77%', '-1.99%', '+0.09%', '-2.42%']..., số giá trị độc nhất: 7
W26_2013:
['-1.95%', '-4.33%', '-0.34%', '-5.33%', '-0.60%', '-4.34%', '-3.20%']..., số giá trị độc nhất: 7
W26_2014:
['+2.11%', '+2.15%', '+1.22%', '+3.20%', '+2.25%', '+1.89%', '+1.98%']..., số giá trị độc nhất: 7
W26_2015:
['+0.17%', '-0.46%', '-1.25%', '-1.35%', '-1.43%', '+4.22%', '-1.61%']..., số giá trị độc nhất: 7
W26_2016:
['+3.71%', '-0.65%', '+0.47%', '-0.63%', '+4.12%', '-0.75%', '-0.97%']..., số giá trị độc nhất: 7
W26_2017:
['+0.02%', '+0.12%', '+2.09%', '+2.51%', '-1.45%', '+1.65%', '+1.13%']..., số giá trị độc nhất: 7
W26_2018:
['-0.56%', '-1.22%', '-3.94%', '+2.07%', '-2.10%', '-2.84%', '-4.11%']..., số giá trị độc nhất: 7
W26_2019:
['+3.84%', '+3.08%', '-0.89%', '-1.78%', '-1.42%', '+0.33%', '-1.75%']..., số giá trị độc nhất: 7
W26_2020:
['-0.57%', '-1.73%', '-1.31%', '-2.93%', '+0.11%', '+0.23%', '-2.54%']..., số giá trị độc nhất: 7
W26_2021:
['-0.94%', '+2.93%', '-1.59%', '+0.06%', '+0.46%', '-1.53%', '+1.83%']..., số giá trị độc nhất: 7
W26_2022:
['-0.22%', '-0.45%', '-3.42%', '-17.25%', '-3.46%', '-0.40%', '+1.16%']..., số giá trị độc nhất: 7
W26_2023:
['+1.48%', '-1.45%', '+1.19%', '-0.41%', '+0.56%', '+0.17%', '-0.99%']..., số giá trị độc nhất: 7
W26_2024:
['-2.59%', '-8.18%', '-3.36%', '-8.13%', '-2.68%', '-1.28%', '-3.40%']..., số giá trị độc nhất: 7
W26_TRUNG BÌNH:
['+0.82%', '-1.13%', '-0.94%', '-2.33%', '-0.70%', '-0.18%', '-1.22%']..., số giá trị độc nhất: 7
W26_TRUNG VỊ:
['+0.17%', '-0.73%', '-1.25%', '-1.35%', '-1.42%', '+0.09%', '-1.61%']..., số giá trị độc nhất: 7
W27_2010:
['+0.25%', '-0.28%', '-1.06%', '+1.74%', '-1.61%', '-0.37%', '+0.61%']..., số giá trị độc nhất: 7
W27_2011:
['+2.19%', '-5.99%', '-2.34%', '-12.99%', '-4.00%', '-1.51%', '-1.47%']..., số giá trị độc nhất: 7
W27_2012:
['-3.67%', '-2.93%', '-1.31%', '-2.58%', '-1.13%', '-0.48%', '-1.63%']..., số giá trị độc nhất: 7
W27_2013:
['+1.80%', '+0.42%', '+0.28%', '+2.90%', '+1.03%', '+2.39%', '-1.18%']..., số giá trị độc nhất: 7
W27_2014:
['+0.26%', '+5.44%', '+2.46%', '+2.02%', '+3.05%', '+2.50%', '+1.09%']..., số giá trị độc nhất: 7
W27_2015:
['-0.86%', '+1.97%', '+2.13%', '+3.94%', '-1.03%', '+2.49%', '+11.93%']..., số giá trị độc nhất: 7
W27_2016:
['+5.63%', '+3.79%', '+3.29%', '+2.69%', '+1.27%', '+2.92%', '+1.20%']..., số giá trị độc nhất: 7
W27_2017:
['-1.71%', '-0.07%', '+1.30%', '+2.81%', '+0.31%', '-0.77%', '+0.13%']..., số giá trị độc nhất: 7
W27_2018:
['-2.45%', '-7.35%', '-4.51%', '-6.99%', '-5.58%', '-3.09%', '-7.14%']..., số giá trị độc nhất: 7
W27_2019:
['-2.76%', '-1.37%', '+2.29%', '-1.30%', '+2.01%', '+1.46%', '+2.93%']..., số giá trị độc nhất: 7
W27_2020:
['+1.27%', '-0.78%', '-0.51%', '-1.96%', '-0.15%', '+0.76%', '-1.40%']..., số giá trị độc nhất: 7
W27_2021:
['+0.74%', '+3.80%', '+2.14%', '-1.59%', '+2.48%', '+1.53%', '+3.44%']..., số giá trị độc nhất: 7
W27_2022:
['+1.17%', '+1.25%', '-0.85%', '-2.72%', '-0.06%', '+0.79%', '+3.32%']..., số giá trị độc nhất: 7
W27_2023:
['+0.81%', '+1.32%', '+4.68%', '+2.02%', '+2.79%', '-0.94%', '+1.83%']..., số giá trị độc nhất: 7
W27_2024:
['+2.54%', '+2.56%', '+2.53%', '+5.27%', '+4.74%', '+1.81%', '+4.01%']..., số giá trị độc nhất: 7
W27_TRUNG BÌNH:
['+0.35%', '+0.12%', '+0.70%', '-0.45%', '+0.27%', '+0.63%', '+1.18%']..., số giá trị độc nhất: 7
W27_TRUNG VỊ:
['+0.74%', '+0.42%', '+1.30%', '+1.74%', '+0.31%', '+0.79%', '+1.09%']..., số giá trị độc nhất: 7
W28_2010:
['-2.50%', '-2.94%', '-1.68%', '-1.73%', '-0.20%', '+0.62%', '-0.63%']..., số giá trị độc nhất: 7
W28_2011:
['+2.50%', '-0.93%', '-0.88%', '+3.57%', '+0.22%', '+4.80%', '-0.54%']..., số giá trị độc nhất: 7
W28_2012:
['+2.40%', '+2.52%', '+1.04%', '+0.99%', '+0.78%', '+0.02%', '+0.85%']..., số giá trị độc nhất: 7
W28_2013:
['+2.98%', '+1.34%', '+0.51%', '+2.53%', '+0.94%', '-0.04%', '+0.82%']..., số giá trị độc nhất: 7
W28_2014:
['+1.31%', '+0.99%', '-1.15%', '-0.23%', '-0.60%', '-1.21%', '-1.78%']..., số giá trị độc nhất: 7
W28_2015:
['+0.29%', '+1.41%', '-0.57%', '+0.90%', '+0.16%', '+1.14%', '+4.26%']..., số giá trị độc nhất: 7
W28_2016:
['+6.33%', '+4.01%', '+4.27%', '-2.57%', '+3.28%', '+1.91%', '+3.30%']..., số giá trị độc nhất: 7
W28_2017:
['+0.77%', '+0.81%', '-0.27%', '+0.62%', '-0.50%', '-0.11%', '-1.62%']..., số giá trị độc nhất: 7
W28_2018:
['-1.85%', '-2.47%', '-1.12%', '-4.83%', '-0.47%', '+0.50%', '-0.09%']..., số giá trị độc nhất: 7
W28_2019:
['+0.93%', '+0.52%', '-0.58%', '+1.52%', '+0.22%', '-0.10%', '+0.84%']..., số giá trị độc nhất: 7
W28_2020:
['+1.07%', '+1.43%', '+1.21%', '+2.40%', '+1.33%', '+4.66%', '+3.24%']..., số giá trị độc nhất: 7
W28_2021:
['-2.15%', '-5.98%', '-8.74%', '-19.30%', '-1.31%', '-2.13%', '-4.55%']..., số giá trị độc nhất: 7
W28_2022:
['+0.32%', '-0.18%', '-2.98%', '-16.05%', '-4.41%', '-1.79%', '+0.34%']..., số giá trị độc nhất: 7
W28_2023:
['+0.73%', '+4.28%', '+1.52%', '+4.71%', '+4.15%', '+4.79%', '+1.82%']..., số giá trị độc nhất: 7
W28_2024:
['+2.20%', '-1.11%', '+2.57%', '+4.06%', '+0.37%', '-3.23%', '-0.46%']..., số giá trị độc nhất: 7
W28_TRUNG BÌNH:
['+1.02%', '+0.25%', '-0.46%', '-1.56%', '+0.26%', '+0.66%', '+0.39%']..., số giá trị độc nhất: 7
W28_TRUNG VỊ:
['+0.93%', '+0.81%', '-0.57%', '+0.90%', '+0.22%', '+0.02%', '+0.34%']..., số giá trị độc nhất: 7
W29_2010:
['+1.03%', '+2.63%', '+1.59%', '+2.31%', '+2.72%', '+1.04%', '+2.10%']..., số giá trị độc nhất: 7
W29_2011:
['+0.73%', '-2.21%', '-2.18%', '-1.62%', '-0.03%', '-4.58%', '-0.70%']..., số giá trị độc nhất: 7
W29_2012:
['+0.50%', '+2.73%', '+1.33%', '+3.17%', '+2.29%', '-0.09%', '+2.66%']..., số giá trị độc nhất: 7
W29_2013:
['+2.91%', '+1.27%', '+2.28%', '+1.42%', '+1.11%', '+3.56%', '+0.37%']..., số giá trị độc nhất: 7
W29_2014:
['-0.07%', '+2.91%', '+3.69%', '+8.95%', '+7.25%', '+2.84%', '+1.60%']..., số giá trị độc nhất: 7
W29_2015:
['-0.83%', '-0.25%', '+2.54%', '-3.67%', '-0.82%', '+3.26%', '-0.44%']..., số giá trị độc nhất: 7
W29_2016:
['-8.29%', '-2.93%', '-4.39%', '-1.85%', '-1.16%', '-0.56%', '+4.87%']..., số giá trị độc nhất: 7
W29_2017:
['-2.98%', '-1.49%', '-3.11%', '-3.58%', '-2.70%', '+1.68%', '-3.63%']..., số giá trị độc nhất: 7
W29_2018:
['+1.62%', '+0.99%', '+2.67%', '+6.71%', '+4.39%', '+0.76%', '+5.60%']..., số giá trị độc nhất: 7
W29_2019:
['-1.04%', '+0.39%', '+0.23%', '-4.41%', '+1.75%', '-1.18%', '+3.56%']..., số giá trị độc nhất: 7
W29_2020:
['+1.99%', '+0.55%', '+1.45%', '+0.37%', '+0.60%', '-1.01%', '+0.65%']..., số giá trị độc nhất: 7
W29_2021:
['-1.62%', '-0.41%', '-0.66%', '+5.72%', '-2.29%', '+0.47%', '-5.83%']..., số giá trị độc nhất: 7
W29_2022:
['+1.65%', '+1.87%', '+4.25%', '+1.05%', '+0.12%', '-1.41%', '+0.48%']..., số giá trị độc nhất: 7
W29_2023:
['+2.12%', '-1.81%', '+1.92%', '+0.45%', '+2.50%', '+1.41%', '+1.37%']..., số giá trị độc nhất: 7
W29_2024:
['+2.61%', '-8.07%', '-3.94%', '-3.77%', '-0.07%', '-1.26%', '+1.66%']..., số giá trị độc nhất: 7
W29_TRUNG BÌNH:
['+0.02%', '-0.26%', '+0.51%', '+0.75%', '+1.04%', '+0.33%', '+0.95%']..., số giá trị độc nhất: 7
W29_TRUNG VỊ:
['+0.73%', '+0.39%', '+1.45%', '+0.45%', '+0.60%', '+0.47%', '+1.37%']..., số giá trị độc nhất: 7
W2_2010:
['+0.49%', '+7.35%', '+3.22%', '+4.18%', '+5.81%', '+3.31%']..., số giá trị độc nhất: 6
W2_2011:
['-1.94%', '-2.57%', '-2.94%', '+1.86%', '-0.01%', '-1.09%']..., số giá trị độc nhất: 6
W2_2012:
['+1.74%', '+0.00%', '+1.70%', '+4.55%', '+1.62%', '+7.08%', '+8.25%']..., số giá trị độc nhất: 7
W2_2013:
['+2.94%', '+1.20%', '+4.65%', '+8.85%', '+2.39%', '+13.71%', '+7.22%']..., số giá trị độc nhất: 7
W2_2014:
['+1.87%', '+3.02%', '+2.48%', '+10.20%', '+1.68%', '+1.45%']..., số giá trị độc nhất: 6
W2_2015:
['-0.85%', '+3.33%', '+2.80%', '-0.95%', '+0.67%', '+3.76%', '+8.79%']..., số giá trị độc nhất: 7
W2_2016:
['-3.14%', '-2.02%', '-3.64%', '-11.16%', '-3.91%', '-3.46%', '-5.11%']..., số giá trị độc nhất: 7
W2_2017:
['+1.45%', '-0.08%', '+1.93%', '+0.30%', '-0.22%', '+0.53%', '+0.87%']..., số giá trị độc nhất: 7
W2_2018:
['+2.34%', '-1.26%', '+3.56%', '+6.85%', '+4.45%', '+0.54%', '+5.57%']..., số giá trị độc nhất: 7
W2_2019:
['+0.80%', '+4.58%', '-0.08%', '+3.37%', '+1.49%', '+3.21%', '+1.89%']..., số giá trị độc nhất: 7
W2_2020:
['-3.34%', '-1.81%', '-2.29%', '-3.86%', '-1.04%', '+0.09%', '+2.37%']..., số giá trị độc nhất: 7
W2_2021:
['+2.91%', '+1.38%', '+1.96%', '+17.85%', '+3.08%', '+4.17%', '+8.31%']..., số giá trị độc nhất: 7
W2_2022:
['+2.05%', '+1.98%', '+0.91%', '+6.03%', '+4.78%', '-1.41%', '-0.36%']..., số giá trị độc nhất: 7
W2_2023:
['+0.32%', '-0.08%', '+0.98%', '+5.02%', '+0.84%', '+0.11%', '+1.37%']..., số giá trị độc nhất: 7
W2_2024:
['-1.41%', '-0.13%', '-2.42%', '-2.33%', '-2.04%', '-1.73%', '+2.79%']..., số giá trị độc nhất: 7
W2_2025:
['-2.04%', '-1.26%', '-3.57%', '-4.57%', '-2.05%', '-2.86%', '-1.22%']..., số giá trị độc nhất: 7
W2_TRUNG BÌNH:
['+0.26%', '+0.85%', '+0.60%', '+2.36%', '+1.11%', '+2.00%', '+2.78%']..., số giá trị độc nhất: 7
W2_TRUNG VỊ:
['+0.64%', '-0.04%', '+1.34%', '+1.93%', '+1.56%', '+0.54%', '+2.13%']..., số giá trị độc nhất: 7
W30_2010:
['+0.10%', '-2.85%', '-0.62%', '-2.28%', '-1.13%', '-0.82%', '-1.94%']..., số giá trị độc nhất: 7
W30_2011:
['-0.59%', '-1.49%', '-0.38%', '+4.01%', '+1.19%', '-2.43%', '+0.49%']..., số giá trị độc nhất: 7
W30_2012:
['+1.66%', '-5.49%', '-4.08%', '-4.39%', '-3.19%', '-1.79%', '-2.92%']..., số giá trị độc nhất: 7
W30_2013:
['+6.99%', '-2.52%', '-2.49%', '-3.22%', '-2.03%', '-1.24%', '-2.09%']..., số giá trị độc nhất: 7
W30_2014:
['+0.06%', '-1.46%', '-2.02%', '+2.54%', '-0.88%', '+0.79%', '-1.04%']..., số giá trị độc nhất: 7
W30_2015:
['+3.49%', '-0.31%', '+3.89%', '-0.81%', '-0.52%', '+2.76%', '-0.94%']..., số giá trị độc nhất: 7
W30_2016:
['+0.25%', '-0.17%', '-0.68%', '-3.50%', '-4.26%', '+2.89%', '-4.13%']..., số giá trị độc nhất: 7
W30_2017:
['+0.30%', '+1.14%', '+1.47%', '-0.48%', '+1.02%', '+1.18%', '+4.63%']..., số giá trị độc nhất: 7
W30_2018:
['+0.84%', '+0.73%', '+2.31%', '-0.62%', '+0.18%', '+1.63%', '-3.00%']..., số giá trị độc nhất: 7
W30_2019:
['-0.35%', '+1.73%', '+3.68%', '-1.19%', '+1.14%', '-0.17%', '-0.65%']..., số giá trị độc nhất: 7
W30_2020:
['-3.65%', '-4.51%', '-5.10%', '-7.33%', '-5.32%', '-5.12%', '-5.29%']..., số giá trị độc nhất: 7
W30_2021:
['+1.84%', '-1.20%', '-0.34%', '-2.62%', '-1.28%', '0.00%', '-4.48%']..., số giá trị độc nhất: 7
W30_2022:
['+1.44%', '+4.03%', '+0.66%', '+10.09%', '+3.64%', '+4.18%', '+0.86%']..., số giá trị độc nhất: 7
W30_2023:
['-1.30%', '+0.31%', '+0.55%', '+3.50%', '+1.62%', '+3.00%', '+1.98%']..., số giá trị độc nhất: 7
W30_2024:
['+0.81%', '+2.46%', '-3.00%', '-4.06%', '-2.60%', '+1.84%', '-2.68%']..., số giá trị độc nhất: 7
W30_TRUNG BÌNH:
['+0.79%', '-0.64%', '-0.41%', '-0.69%', '-0.83%', '+0.45%', '-1.41%']..., số giá trị độc nhất: 7
W30_TRUNG VỊ:
['+0.30%', '-0.31%', '-0.38%', '-1.19%', '-0.88%', '+0.79%', '-1.94%']..., số giá trị độc nhất: 7
W31_2010:
['-1.37%', '-2.42%', '-1.41%', '-2.55%', '-3.47%', '-0.15%', '-1.98%']..., số giá trị độc nhất: 7
W31_2011:
['+5.01%', '-3.44%', '-0.21%', '-2.78%', '+0.66%', '-0.01%', '-1.09%']..., số giá trị độc nhất: 7
W31_2012:
['-0.49%', '-0.32%', '-0.61%', '-0.52%', '+0.02%', '+5.18%', '-0.36%']..., số giá trị độc nhất: 7
W31_2013:
['+3.47%', '-0.08%', '+0.06%', '+1.78%', '+1.79%', '+0.14%', '-0.72%']..., số giá trị độc nhất: 7
W31_2014:
['-1.18%', '-1.22%', '-1.31%', '+1.65%', '-1.30%', '-0.63%', '-0.59%']..., số giá trị độc nhất: 7
W31_2015:
['-3.58%', '+0.13%', '-1.83%', '-1.43%', '-1.10%', '-1.77%', '-1.59%']..., số giá trị độc nhất: 7
W31_2016:
['+1.02%', '-0.51%', '+1.22%', '-3.15%', '-2.89%', '+0.52%', '+1.57%']..., số giá trị độc nhất: 7
W31_2017:
['+0.17%', '+0.84%', '-0.43%', '+9.10%', '+0.81%', '+2.01%']..., số giá trị độc nhất: 6
W31_2018:
['+0.98%', '+5.35%', '-0.35%', '+14.48%', '+3.64%', '-0.88%', '+2.97%']..., số giá trị độc nhất: 7
W31_2019:
['-1.02%', '-0.25%', '+1.61%', '-5.48%', '+0.41%', '-0.53%', '-0.59%']..., số giá trị độc nhất: 7
W31_2020:
['-0.52%', '-3.73%', '-2.11%', '-8.05%', '-4.74%', '-3.62%', '-4.73%']..., số giá trị độc nhất: 7
W31_2021:
['+2.51%', '+3.37%', '+4.38%', '+11.06%', '+2.62%', '+4.89%', '+3.90%']..., số giá trị độc nhất: 7
W31_2022:
['-0.93%', '+3.80%', '-0.62%', '-2.54%', '-1.27%', '+1.36%', '+2.04%']..., số giá trị độc nhất: 7
W31_2023:
['-1.81%', '+2.56%', '-1.07%', '+6.51%', '+0.15%', '+1.81%', '+1.34%']..., số giá trị độc nhất: 7
W31_2024:
['-1.37%', '-0.14%', '-1.56%', '-0.07%', '+0.08%', '+1.99%', '+0.47%']..., số giá trị độc nhất: 7
W31_TRUNG BÌNH:
['+0.06%', '+0.26%', '-0.28%', '+1.20%', '-0.30%', '+0.61%', '+0.18%']..., số giá trị độc nhất: 7
W31_TRUNG VỊ:
['-0.52%', '-0.14%', '-0.61%', '+0.08%', '+0.14%', '-0.36%']..., số giá trị độc nhất: 6
W32_2010:
['-1.41%', '-4.89%', '-1.93%', '-4.15%', '-3.28%', '-0.79%', '-3.52%']..., số giá trị độc nhất: 7
W32_2011:
['+0.03%', '-2.27%', '-1.60%', '+0.19%', '+3.73%', '+3.07%', '-2.53%']..., số giá trị độc nhất: 7
W32_2012:
['+2.78%', '+1.70%', '+2.62%', '+0.67%', '+1.52%', '+4.28%', '+1.83%']..., số giá trị độc nhất: 7
W32_2013:
['+0.55%', '-1.18%', '+1.76%', '+3.02%', '+2.33%', '+0.03%', '-0.73%']..., số giá trị độc nhất: 7
W32_2014:
['+1.95%', '+3.83%', '+0.59%', '+3.03%', '+2.43%', '+1.88%', '+0.62%']..., số giá trị độc nhất: 7
W32_2015:
['+0.48%', '+0.32%', '+1.21%', '-2.62%', '-1.01%', '-0.25%', '-6.10%']..., số giá trị độc nhất: 7
W32_2016:
['-4.39%', '-5.09%', '-4.53%', '+1.42%', '-4.60%', '-1.94%', '-4.36%']..., số giá trị độc nhất: 7
W32_2017:
['-1.88%', '-1.10%', '+0.25%', '-3.04%', '+0.23%', '-1.35%', '-3.28%']..., số giá trị độc nhất: 7
W32_2018:
['+1.02%', '+2.75%', '+1.33%', '+6.92%', '+1.14%', '+0.56%', '+4.41%']..., số giá trị độc nhất: 7
W32_2019:
['+2.95%', '+0.91%', '+3.31%', '-8.42%', '+1.70%', '-1.96%', '-1.37%']..., số giá trị độc nhất: 7
W32_2020:
['+1.87%', '+4.80%', '+6.49%', '+8.14%', '+4.98%', '+6.86%', '+6.17%']..., số giá trị độc nhất: 7
W32_2021:
['+1.74%', '+6.07%', '+3.19%', '+4.06%', '+3.02%', '+0.33%', '+1.76%']..., số giá trị độc nhất: 7
W32_2022:
['+0.16%', '+3.61%', '+4.66%', '+2.74%', '+2.79%', '+1.51%', '+4.83%']..., số giá trị độc nhất: 7
W32_2023:
['-0.81%', '-1.14%', '+0.21%', '+1.79%', '+0.06%', '-0.26%', '-0.13%']..., số giá trị độc nhất: 7
W32_2024:
['-0.98%', '-2.13%', '-2.05%', '+2.18%', '+1.13%', '+2.34%', '-1.85%']..., số giá trị độc nhất: 7
W32_TRUNG BÌNH:
['+0.27%', '+0.41%', '+1.03%', '+1.06%', '+1.08%', '+0.95%', '-0.28%']..., số giá trị độc nhất: 7
W32_TRUNG VỊ:
['+0.48%', '+0.32%', '+1.21%', '+1.79%', '+1.52%', '+0.33%', '-0.73%']..., số giá trị độc nhất: 7
W33_2010:
['+0.36%', '-9.86%', '-6.17%', '-5.23%', '-7.15%', '-2.70%', '-7.30%']..., số giá trị độc nhất: 7
W33_2011:
['-2.63%', '-4.96%', '-4.60%', '-8.73%', '-2.00%', '-2.55%', '-3.85%']..., số giá trị độc nhất: 7
W33_2012:
['+5.96%', '+0.04%', '+3.37%', '+4.10%', '+0.17%', '+2.14%', '+0.76%']..., số giá trị độc nhất: 7
W33_2013:
['-0.66%', '+1.73%', '+2.15%', '+3.81%', '+1.50%', '+1.29%', '+0.69%']..., số giá trị độc nhất: 7
W33_2014:
['-0.06%', '+1.37%', '+1.30%', '+4.90%', '+5.84%', '-0.52%', '-0.86%']..., số giá trị độc nhất: 7
W33_2015:
['-1.56%', '-0.50%', '-0.97%', '-7.77%', '-0.99%', '+0.78%', '-2.21%']..., số giá trị độc nhất: 7
W33_2016:
['+6.66%', '+4.12%', '+4.63%', '+11.37%', '+3.92%', '+5.21%', '+3.21%']..., số giá trị độc nhất: 7
W33_2017:
['+0.21%', '+1.22%', '+1.13%', '-1.64%', '+0.83%', '+0.57%', '-1.25%']..., số giá trị độc nhất: 7
W33_2018:
['-1.08%', '+1.33%', '+1.07%', '-9.85%', '+1.01%', '-0.04%']..., số giá trị độc nhất: 6
W33_2019:
['-2.60%', '-2.58%', '-1.29%', '-2.84%', '+0.13%', '-0.17%', '+1.29%']..., số giá trị độc nhất: 7
W33_2020:
['+1.31%', '+1.27%', '+1.67%', '+1.62%', '+2.63%', '+0.82%', '+1.53%']..., số giá trị độc nhất: 7
W33_2021:
['+1.51%', '+6.47%', '+2.16%', '-0.55%', '+2.21%', '+1.30%', '+1.32%']..., số giá trị độc nhất: 7
W33_2022:
['+0.11%', '+1.09%', '+2.27%', '+5.33%', '+1.06%', '+1.84%', '+0.36%']..., số giá trị độc nhất: 7
W33_2023:
['-2.62%', '-2.95%', '-4.83%', '-9.26%', '-3.78%']..., số giá trị độc nhất: 5
W33_2024:
['+0.86%', '+3.68%', '+2.41%', '+2.95%', '+3.04%', '+1.64%', '+2.28%']..., số giá trị độc nhất: 7
W33_TRUNG BÌNH:
['+0.39%', '+0.10%', '+0.29%', '-0.79%', '+0.49%', '+0.46%', '-0.52%']..., số giá trị độc nhất: 7
W33_TRUNG VỊ:
['+0.11%', '+1.22%', '+1.30%', '-0.55%', '+1.01%', '+0.82%', '+0.36%']..., số giá trị độc nhất: 7
W34_2010:
['+1.02%', '-0.38%', '+1.52%', '+1.45%', '-0.62%', '-1.49%', '+2.12%']..., số giá trị độc nhất: 7
W34_2011:
['+6.38%', '+3.56%', '+2.67%', '+1.97%', '+9.27%', '+4.14%', '+3.40%']..., số giá trị độc nhất: 7
W34_2012:
['-2.79%', '-8.34%', '-5.37%', '-5.39%', '-6.60%', '-9.31%']..., số giá trị độc nhất: 6
W34_2013:
['-3.21%', '-2.24%', '-1.61%', '-0.22%', '-0.90%', '-6.58%', '-3.20%']..., số giá trị độc nhất: 7
W34_2014:
['-0.44%', '+1.61%', '+2.81%', '+5.98%', '+1.15%', '+0.13%', '+1.42%']..., số giá trị độc nhất: 7
W34_2015:
['-7.18%', '-2.99%', '-1.93%', '-13.77%', '-2.67%', '-3.74%', '-4.73%']..., số giá trị độc nhất: 7
W34_2016:
['+2.28%', '+2.18%', '+1.54%', '+0.64%', '+2.02%', '+5.27%', '-1.39%']..., số giá trị độc nhất: 7
W34_2017:
['+1.87%', '+4.34%', '-0.83%', '-1.78%', '+0.31%', '+0.13%', '-0.11%']..., số giá trị độc nhất: 7
W34_2018:
['-2.83%', '+0.08%', '+1.37%', '+5.67%', '+3.14%', '+1.24%']..., số giá trị độc nhất: 6
W34_2019:
['+0.97%', '+0.29%', '+1.22%', '+0.48%', '-0.26%', '-0.12%', '+1.39%']..., số giá trị độc nhất: 7
W34_2020:
['+2.79%', '+0.85%', '+3.23%', '+2.37%', '+0.95%', '-0.53%', '+1.77%']..., số giá trị độc nhất: 7
W34_2021:
['+4.90%', '-0.54%', '+2.45%', '-4.23%', '-1.63%', '-0.68%', '-1.49%']..., số giá trị độc nhất: 7
W34_2022:
['-0.45%', '+1.28%', '-0.74%', '-2.34%', '+0.17%', '+2.24%', '+0.28%']..., số giá trị độc nhất: 7
W34_2023:
['+1.65%', '+0.20%', '+0.23%', '+3.62%', '+0.90%', '+2.53%', '+0.82%']..., số giá trị độc nhất: 7
W34_2024:
['+0.49%', '+3.12%', '+1.78%', '+1.18%', '+1.89%', '+1.05%', '+3.76%']..., số giá trị độc nhất: 7
W34_TRUNG BÌNH:
['+0.36%', '+0.20%', '+0.56%', '-0.29%', '-0.20%', '-0.26%']..., số giá trị độc nhất: 6
W34_TRUNG VỊ:
['+0.97%', '+0.29%', '+1.37%', '+0.64%', '+0.31%', '+0.13%', '+0.82%']..., số giá trị độc nhất: 7
W35_2010:
['-3.50%', '-11.48%', '-7.19%', '-8.65%', '-8.82%', '-5.14%', '-4.64%']..., số giá trị độc nhất: 7
W35_2011:
['-0.17%', '+2.69%', '+0.42%', '+2.77%', '+2.01%', '+0.95%', '-0.55%']..., số giá trị độc nhất: 7
W35_2012:
['+3.75%', '-2.27%', '+1.77%', '+2.99%', '+0.27%', '+1.84%', '-5.68%']..., số giá trị độc nhất: 7
W35_2013:
['-3.99%', '-1.55%', '-1.87%', '-1.23%', '-2.65%', '-2.08%', '-0.39%']..., số giá trị độc nhất: 7
W35_2014:
['+0.57%', '+2.11%', '+1.70%', '+4.17%', '+2.07%', '+0.99%', '+3.29%']..., số giá trị độc nhất: 7
W35_2015:
['-0.78%', '-0.15%', '+0.54%', '+10.95%', '+0.70%', '+0.41%', '+3.85%']..., số giá trị độc nhất: 7
W35_2016:
['-0.03%', '+1.50%', '+1.45%', '-2.24%', '-1.95%', '+0.37%', '+2.79%']..., số giá trị độc nhất: 7
W35_2017:
['-1.95%', '+4.65%', '+2.08%', '-2.66%', '+0.50%', '+1.72%', '+1.82%']..., số giá trị độc nhất: 7
W35_2018:
['+1.31%', '-0.05%', '+2.36%', '+1.80%', '-0.14%', '+1.36%', '+1.85%']..., số giá trị độc nhất: 7
W35_2019:
['+0.39%', '+0.34%', '-3.76%', '+1.49%', '-0.12%', '-0.38%', '-0.69%']..., số giá trị độc nhất: 7
W35_2020:
['+2.40%', '+3.49%', '+1.25%', '+3.03%', '+7.58%', '+2.98%', '+3.12%']..., số giá trị độc nhất: 7
W35_2021:
['+3.85%', '+3.00%', '-0.08%', '-2.70%', '+0.12%', '+1.43%', '-3.35%']..., số giá trị độc nhất: 7
W35_2022:
['+0.05%', '+1.91%', '+1.99%', '+3.13%', '+4.05%', '+0.32%', '+1.06%']..., số giá trị độc nhất: 7
W35_2023:
['+2.05%', '+1.75%', '+6.29%', '+7.15%', '+4.70%', '+3.30%', '+3.81%']..., số giá trị độc nhất: 7
W35_2024:
['+0.86%', '+0.50%', '-0.09%', '-0.07%', '-1.50%', '+0.48%', '-0.17%']..., số giá trị độc nhất: 7
W35_TRUNG BÌNH:
['+0.32%', '+0.43%', '+0.46%', '+1.33%', '+0.57%', '+0.41%']..., số giá trị độc nhất: 6
W35_TRUNG VỊ:
['+0.39%', '+1.50%', '+1.25%', '+1.80%', '+0.27%', '+0.95%', '+1.06%']..., số giá trị độc nhất: 7
W36_2010:
['+3.53%', '+12.50%', '+8.62%', '+11.82%', '+6.91%', '+4.69%', '+7.04%']..., số giá trị độc nhất: 7
W36_2011:
['+0.90%', '+8.70%', '+4.48%', '+8.39%', '+4.00%', '+7.98%', '+8.05%']..., số giá trị độc nhất: 7
W36_2012:
['+0.14%', '-1.00%', '+0.28%', '-0.66%', '-0.58%', '+2.68%', '-0.92%']..., số giá trị độc nhất: 7
W36_2013:
['+3.65%', '-1.08%', '+1.21%', '-0.17%', '+1.51%', '+3.39%', '-0.31%']..., số giá trị độc nhất: 7
W36_2014:
['+0.42%', '+2.08%', '+3.10%', '+0.69%', '+0.77%', '+0.10%', '+1.44%']..., số giá trị độc nhất: 7
W36_2015:
['-2.47%', '-2.26%', '-1.85%', '-5.81%', '+0.55%', '-2.13%', '-3.30%']..., số giá trị độc nhất: 7
W36_2016:
['+2.66%', '+2.50%', '+1.01%', '-3.55%', '-0.01%', '+4.12%', '-3.09%']..., số giá trị độc nhất: 7
W36_2017:
['-1.99%', '+0.46%', '+2.44%', '+0.62%', '-0.03%', '+3.12%', '-0.30%']..., số giá trị độc nhất: 7
W36_2018:
['-0.03%', '-2.43%', '-1.10%', '-2.01%', '-0.46%', '-0.88%', '-2.25%']..., số giá trị độc nhất: 7
W36_2019:
['-0.47%', '-2.84%', '-3.97%', '-4.07%', '-1.27%', '-1.10%', '-0.74%']..., số giá trị độc nhất: 7
W36_2020:
['-0.22%', '+2.83%', '+1.79%', '-0.04%', '+1.07%', '+3.16%', '+2.00%']..., số giá trị độc nhất: 7
W36_2021:
['+5.56%', '+1.46%', '+5.32%', '+7.44%', '+2.47%', '+0.72%', '+1.13%']..., số giá trị độc nhất: 7
W36_2022:
['-1.33%', '-0.25%', '+0.56%', '+2.40%', '-0.18%', '+1.02%', '-0.11%']..., số giá trị độc nhất: 7
W36_2023:
['+1.68%', '+1.54%', '+4.55%', '+8.92%', '+2.99%', '+1.44%', '+1.34%']..., số giá trị độc nhất: 7
W36_2024:
['+0.68%', '-1.33%', '-1.26%', '-3.24%', '-1.89%', '-0.19%', '-1.38%']..., số giá trị độc nhất: 7
W36_TRUNG BÌNH:
['+0.85%', '+1.39%', '+1.68%', '+1.38%', '+1.06%', '+1.87%', '+0.57%']..., số giá trị độc nhất: 7
W36_TRUNG VỊ:
['+0.42%', '+0.46%', '+1.21%', '-0.04%', '+0.55%', '+1.44%', '-0.30%']..., số giá trị độc nhất: 7
W37_2010:
['+0.30%', '+0.37%', '-0.33%', '-4.37%', '-1.38%', '+0.76%', '-2.08%']..., số giá trị độc nhất: 7
W37_2011:
['+0.94%', '+0.33%', '+2.94%', '+2.65%', '+4.96%', '+8.92%', '+2.84%']..., số giá trị độc nhất: 7
W37_2012:
['-0.50%', '-3.18%', '+0.33%', '+2.61%', '+0.53%', '+0.07%', '+0.11%']..., số giá trị độc nhất: 7
W37_2013:
['+1.25%', '+0.77%', '+1.13%', '+0.39%', '-0.56%', '-0.89%', '-1.57%']..., số giá trị độc nhất: 7
W37_2014:
['-1.26%', '+0.28%', '-2.31%', '+5.24%', '+2.21%', '-0.65%', '-1.24%']..., số giá trị độc nhất: 7
W37_2015:
['-0.33%', '+1.56%', '+1.03%', '-0.40%', '+0.24%', '-1.39%', '+4.89%']..., số giá trị độc nhất: 7
W37_2016:
['+3.49%', '+3.52%', '+1.13%', '+3.41%', '-0.46%', '-3.79%', '-0.04%']..., số giá trị độc nhất: 7
W37_2017:
['+1.55%', '+2.62%', '+1.80%', '+0.12%', '+2.12%', '-0.27%', '+0.44%']..., số giá trị độc nhất: 7
W37_2018:
['+0.46%', '+2.17%', '+0.85%', '+8.55%', '+2.83%', '+1.37%', '+2.37%']..., số giá trị độc nhất: 7
W37_2019:
['+1.11%', '-1.59%', '+0.58%', '-3.16%', '+3.22%', '+0.01%', '+3.35%']..., số giá trị độc nhất: 7
W37_2020:
['+1.78%', '+2.38%', '+0.86%', '+1.39%', '-0.25%', '-0.58%', '-2.12%']..., số giá trị độc nhất: 7
W37_2021:
['-4.07%', '+3.76%', '+2.43%', '-0.80%', '+3.37%', '+0.28%', '+1.66%']..., số giá trị độc nhất: 7
W37_2022:
['+0.07%', '-0.93%', '-1.20%', '-5.17%', '-2.72%', '+0.14%', '-4.62%']..., số giá trị độc nhất: 7
W37_2023:
['-1.03%', '-1.48%', '-1.40%', '+4.52%', '-0.75%', '-0.48%', '+0.61%']..., số giá trị độc nhất: 7
W37_2024:
['-0.47%', '-0.87%', '-0.44%', '+1.52%', '-1.64%', '-0.65%', '-1.45%']..., số giá trị độc nhất: 7
W37_TRUNG BÌNH:
['+0.22%', '+0.65%', '+0.49%', '+1.10%', '+0.78%', '+0.19%', '+0.21%']..., số giá trị độc nhất: 7
W37_TRUNG VỊ:
['+0.30%', '+0.37%', '+0.85%', '+1.39%', '+0.24%', '-0.27%', '+0.11%']..., số giá trị độc nhất: 7
W38_2010:
['-2.02%', '+0.78%', '+2.18%', '+4.45%', '-0.07%', '+1.25%', '+0.79%']..., số giá trị độc nhất: 7
W38_2011:
['-0.27%', '-1.09%', '-3.19%', '-7.77%', '-3.16%', '+3.74%', '-1.12%']..., số giá trị độc nhất: 7
W38_2012:
['+0.34%', '-3.65%', '-2.47%', '+1.41%', '-2.27%', '-1.04%', '-2.12%']..., số giá trị độc nhất: 7
W38_2013:
['-1.62%', '-4.33%', '+0.71%', '+3.40%', '+0.47%', '+0.51%', '+0.72%']..., số giá trị độc nhất: 7
W38_2014:
['-0.50%', '-0.74%', '-1.99%', '-2.33%', '+1.35%', '-1.12%', '-4.10%']..., số giá trị độc nhất: 7
W38_2015:
['+0.29%', '+0.03%', '-0.41%', '+1.33%', '+0.63%', '-0.23%', '-1.02%']..., số giá trị độc nhất: 7
W38_2016:
['-0.39%', '+1.08%', '-1.49%', '-6.74%', '-2.87%', '-3.65%', '-4.08%']..., số giá trị độc nhất: 7
W38_2017:
['-1.76%', '+5.68%', '+0.06%', '+0.60%', '-1.11%', '-0.86%', '+0.70%']..., số giá trị độc nhất: 7
W38_2018:
['+2.19%', '+3.63%', '+3.58%', '+5.65%', '+1.82%', '+1.07%', '+3.27%']..., số giá trị độc nhất: 7
W38_2019:
['-0.06%', '+2.35%', '+1.20%', '+6.62%', '+1.00%', '+1.71%', '+0.33%']..., số giá trị độc nhất: 7
W38_2020:
['+0.20%', '+1.73%', '+2.22%', '+3.15%', '+0.48%', '+0.82%', '+1.85%']..., số giá trị độc nhất: 7
W38_2021:
['-1.20%', '+0.29%', '+2.28%', '+9.18%', '+2.65%', '+4.86%', '+0.03%']..., số giá trị độc nhất: 7
W38_2022:
['-0.28%', '+0.32%', '-1.78%', '+0.74%', '-1.01%', '-0.89%', '-1.81%']..., số giá trị độc nhất: 7
W38_2023:
['-0.22%', '-0.63%', '-0.55%', '-5.85%', '-1.89%', '-2.81%', '-3.12%']..., số giá trị độc nhất: 7
W38_2024:
['+1.24%', '+1.35%', '+1.75%', '+4.12%', '+0.86%', '+1.26%', '+2.54%']..., số giá trị độc nhất: 7
W38_TRUNG BÌNH:
['-0.27%', '+0.45%', '+0.14%', '+1.20%', '-0.21%', '+0.31%', '-0.48%']..., số giá trị độc nhất: 7
W38_TRUNG VỊ:
['-0.27%', '+0.32%', '+0.06%', '+1.41%', '+0.47%', '+0.51%', '+0.03%']..., số giá trị độc nhất: 7
W39_2010:
['-0.58%', '-2.83%', '-1.96%', '-2.69%', '-1.10%', '-1.40%', '-1.23%']..., số giá trị độc nhất: 7
W39_2011:
['+1.45%', '-0.14%', '-0.12%', '+1.25%', '-3.69%', '-6.63%', '-2.41%']..., số giá trị độc nhất: 7
W39_2012:
['-0.08%', '-2.39%', '-2.36%', '-2.01%', '-1.08%', '+0.41%', '-2.70%']..., số giá trị độc nhất: 7
W39_2013:
['+1.46%', '+4.60%', '+2.09%', '+4.07%', '+3.15%', '+1.02%', '+1.32%']..., số giá trị độc nhất: 7
W39_2014:
['+0.73%', '+2.03%', '+0.82%', '-2.41%', '+2.98%', '-0.44%', '+0.48%']..., số giá trị độc nhất: 7
W39_2015:
['+0.72%', '+3.70%', '+2.01%', '-0.09%', '+1.87%', '+1.12%', '+0.57%']..., số giá trị độc nhất: 7
W39_2016:
['-1.58%', '-0.94%', '+1.82%', '+2.12%', '+2.61%', '+2.78%', '+3.27%']..., số giá trị độc nhất: 7
W39_2017:
['-2.35%', '+2.53%', '+0.96%', '+1.98%', '-1.53%', '+0.87%', '+0.15%']..., số giá trị độc nhất: 7
W39_2018:
['+3.41%', '+2.32%', '+1.65%', '+6.06%', '+1.17%', '+1.05%', '+0.08%']..., số giá trị độc nhất: 7
W39_2019:
['+2.11%', '+0.59%', '-0.77%', '-2.43%', '-0.01%', '+1.60%', '+1.59%']..., số giá trị độc nhất: 7
W39_2020:
['-1.03%', '+0.88%', '+0.67%', '+1.29%', '+1.79%', '+0.76%', '+2.55%']..., số giá trị độc nhất: 7
W39_2021:
['-1.35%', '-0.16%', '-2.10%', '-1.28%', '+0.48%', '+0.17%', '+1.40%']..., số giá trị độc nhất: 7
W39_2022:
['+0.11%', '-0.64%', '-2.33%', '-2.22%', '-2.17%', '-1.32%', '-3.28%']..., số giá trị độc nhất: 7
W39_2023:
['-2.26%', '-1.49%', '-4.93%', '+4.96%', '-1.80%', '-2.35%', '-2.77%']..., số giá trị độc nhất: 7
W39_2024:
['-0.40%', '-1.08%', '+1.15%', '+2.09%', '-0.57%', '+1.57%', '+3.20%']..., số giá trị độc nhất: 7
W39_TRUNG BÌNH:
['+0.02%', '+0.47%', '-0.23%', '+0.71%', '+0.14%', '-0.05%', '+0.15%']..., số giá trị độc nhất: 7
W39_TRUNG VỊ:
['-0.08%', '-0.14%', '+0.67%', '+1.25%', '-0.01%', '+0.76%', '+0.48%']..., số giá trị độc nhất: 7
W3_2010:
['-1.40%', '-5.61%', '-4.27%', '-6.36%', '-2.68%', '-3.29%', '-2.80%']..., số giá trị độc nhất: 7
W3_2011:
['-1.16%', '-2.36%', '-0.54%', '+1.65%', '+2.01%', '-1.25%', '+2.75%']..., số giá trị độc nhất: 7
W3_2012:
['+1.61%', '+4.59%', '+4.75%', '+5.34%', '+2.13%', '+4.42%', '+7.63%']..., số giá trị độc nhất: 7
W3_2013:
['-2.02%', '+3.98%', '+0.10%', '-1.15%', '+2.69%', '-4.58%', '-0.98%']..., số giá trị độc nhất: 7
W3_2014:
['+3.41%', '+1.44%', '+6.28%', '+7.30%', '+0.41%', '+3.81%', '+3.11%']..., số giá trị độc nhất: 7
W3_2015:
['-0.02%', '+0.64%', '-0.37%', '+0.56%', '+1.29%', '-0.76%', '+1.43%']..., số giá trị độc nhất: 7
W3_2016:
['-1.69%', '-0.81%', '-2.41%', '-3.62%', '+0.17%', '-4.22%', '-3.50%']..., số giá trị độc nhất: 7
W3_2017:
['+3.27%', '-1.67%', '-2.73%', '-3.22%', '-2.33%', '+1.51%', '+2.46%']..., số giá trị độc nhất: 7
W3_2018:
['-2.41%', '+0.45%', '+3.51%', '-0.98%', '+3.02%', '-1.46%', '+2.46%']..., số giá trị độc nhất: 7
W3_2019:
['+1.02%', '-2.00%', '-1.16%', '-1.82%', '-1.30%', '+0.00%', '+0.01%']..., số giá trị độc nhất: 7
W3_2020:
['+0.17%', '+0.30%', '+1.76%', '-4.10%', '+0.51%', '-0.99%', '+3.62%']..., số giá trị độc nhất: 7
W3_2021:
['+2.46%', '+1.92%', '+5.40%', '+13.95%', '+4.75%', '+1.80%', '+1.85%']..., số giá trị độc nhất: 7
W3_2022:
['-6.34%', '-3.11%', '-4.05%', '-6.72%', '-4.58%', '-2.74%', '+1.56%']..., số giá trị độc nhất: 7
W3_2023:
['+1.28%', '+2.74%', '+5.37%', '+7.79%', '+4.94%', '+2.71%', '+6.19%']..., số giá trị độc nhất: 7
W3_2024:
['+0.19%', '+1.75%', '+1.87%', '+2.59%', '+2.96%', '+1.07%', '+2.68%']..., số giá trị độc nhất: 7
W3_2025:
['+0.83%', '+4.81%', '+2.94%', '+2.62%', '+1.97%', '+1.02%', '+1.74%']..., số giá trị độc nhất: 7
W3_TRUNG BÌNH:
['-0.05%', '+0.44%', '+1.03%', '+0.86%', '+1.00%', '-0.18%', '+1.89%']..., số giá trị độc nhất: 7
W3_TRUNG VỊ:
['+0.18%', '+0.54%', '+0.93%', '-0.21%', '+1.63%', '-0.38%', '+2.16%']..., số giá trị độc nhất: 7
W40_2010:
['-2.76%', '-3.66%', '-2.35%', '-1.61%', '-2.65%', '+1.25%', '+0.99%']..., số giá trị độc nhất: 7
W40_2011:
['+5.25%', '-4.40%', '-1.89%', '-3.96%', '-2.79%', '-3.70%', '-2.15%']..., số giá trị độc nhất: 7
W40_2012:
['-1.62%', '-1.52%', '+0.64%', '+4.19%', '-0.47%', '-0.17%', '-2.66%']..., số giá trị độc nhất: 7
W40_2013:
['+2.08%', '+3.10%', '+0.59%', '+2.55%', '+1.46%', '+0.97%', '+3.97%']..., số giá trị độc nhất: 7
W40_2014:
['+4.17%', '+2.13%', '+1.80%', '+2.02%', '+3.49%', '+1.31%', '+1.94%']..., số giá trị độc nhất: 7
W40_2015:
['+0.48%', '+0.33%', '-1.10%', '-2.14%', '+1.27%', '-0.16%', '-2.61%']..., số giá trị độc nhất: 7
W40_2016:
['+2.93%', '+4.52%', '+2.26%', '+4.92%', '+0.82%', '+0.49%', '+2.55%']..., số giá trị độc nhất: 7
W40_2017:
['-1.79%', '-1.23%', '-0.71%', '-0.85%', '-1.03%', '+0.66%', '+1.59%']..., số giá trị độc nhất: 7
W40_2018:
['-1.64%', '-2.83%', '-1.49%', '-1.15%', '-0.94%', '-0.75%', '-0.30%']..., số giá trị độc nhất: 7
W40_2019:
['-2.09%', '-0.61%', '+0.20%', '-3.59%', '-1.92%', '-1.15%', '+0.23%']..., số giá trị độc nhất: 7
W40_2020:
['-0.72%', '+2.44%', '+2.00%', '+2.26%', '+0.22%', '+0.45%', '+0.70%']..., số giá trị độc nhất: 7
W40_2021:
['-1.47%', '-0.65%', '+2.08%', '+7.17%', '+0.38%', '-1.07%', '-4.02%']..., số giá trị độc nhất: 7
W40_2022:
['-0.85%', '-6.92%', '-7.47%', '-14.74%', '-7.19%', '-5.35%', '-4.09%']..., số giá trị độc nhất: 7
W40_2023:
['-0.10%', '-1.45%', '-0.49%', '-6.70%', '-3.32%', '-1.44%', '-2.72%']..., số giá trị độc nhất: 7
W40_2024:
['-0.93%', '-2.48%', '-1.59%', '-2.28%', '-1.40%', '-1.12%', '-0.94%']..., số giá trị độc nhất: 7
W40_TRUNG BÌNH:
['+0.06%', '-0.88%', '-0.50%', '-0.93%', '-0.94%', '-0.65%']..., số giá trị độc nhất: 6
W40_TRUNG VỊ:
['-0.85%', '-1.23%', '-0.49%', '-1.15%', '-0.94%', '-0.17%', '-0.30%']..., số giá trị độc nhất: 7
W41_2010:
['+0.22%', '-3.11%', '+0.56%', '+1.37%', '-3.38%', '+2.20%', '+1.53%']..., số giá trị độc nhất: 7
W41_2011:
['+1.68%', '-2.30%', '-0.39%', '-0.07%', '+2.86%', '-2.44%', '-2.53%']..., số giá trị độc nhất: 7
W41_2012:
['+1.81%', '+3.92%', '+1.13%', '+1.68%', '+2.62%', '+1.48%', '+1.59%']..., số giá trị độc nhất: 7
W41_2013:
['+3.42%', '+0.82%', '+0.38%', '+0.13%', '-0.29%', '-0.76%', '+0.87%']..., số giá trị độc nhất: 7
W41_2014:
['-0.97%', '+0.20%', '+0.32%', '+1.08%', '+2.46%', '+0.88%', '-1.02%']..., số giá trị độc nhất: 7
W41_2015:
['+1.50%', '+2.74%', '+0.83%', '+9.94%', '+3.11%', '+1.14%', '+6.81%']..., số giá trị độc nhất: 7
W41_2016:
['+0.28%', '+1.67%', '-3.29%', '+3.39%', '-0.71%', '-0.04%', '+0.44%']..., số giá trị độc nhất: 7
W41_2017:
['-0.63%', '+3.47%', '+0.99%', '+1.46%', '+0.13%', '+0.84%', '+1.03%']..., số giá trị độc nhất: 7
W41_2018:
['-2.80%', '-3.13%', '-2.60%', '-10.10%', '-3.59%', '-4.28%', '-4.75%']..., số giá trị độc nhất: 7
W41_2019:
['+1.20%', '+0.03%', '-0.27%', '+5.97%', '+0.15%', '-0.07%', '+1.23%']..., số giá trị độc nhất: 7
W41_2020:
['+1.90%', '-0.88%', '+4.36%', '+5.18%', '+0.70%', '+3.94%', '+1.21%']..., số giá trị độc nhất: 7
W41_2021:
['+1.35%', '+3.79%', '+3.69%', '+3.04%', '+3.28%', '+2.84%', '+1.67%']..., số giá trị độc nhất: 7
W41_2022:
['-2.82%', '-2.04%', '-12.66%', '-5.66%', '-9.40%', '-7.91%', '-11.84%']..., số giá trị độc nhất: 7
W41_2023:
['+1.94%', '+2.42%', '+3.50%', '+8.31%', '+3.24%', '+1.04%', '+2.08%']..., số giá trị độc nhất: 7
W41_2024:
['-0.11%', '+5.05%', '+1.81%', '+1.57%', '-0.67%', '+1.90%', '+0.90%']..., số giá trị độc nhất: 7
W41_TRUNG BÌNH:
['+0.53%', '+0.84%', '-0.11%', '+1.82%', '+0.03%', '+0.05%', '-0.05%']..., số giá trị độc nhất: 7
W41_TRUNG VỊ:
['+1.20%', '+0.82%', '+0.56%', '+1.57%', '+0.15%', '+0.88%', '+1.03%']..., số giá trị độc nhất: 7
W42_2010:
['-1.88%', '-2.59%', '-0.25%', '-0.92%', '-0.80%', '-0.46%', '+0.41%']..., số giá trị độc nhất: 7
W42_2011:
['+0.20%', '-3.62%', '-0.79%', '+0.36%', '-0.54%', '+0.41%', '-2.29%']..., số giá trị độc nhất: 7
W42_2012:
['-1.37%', '+0.09%', '+0.62%', '-2.00%', '-0.58%', '+4.73%', '-0.70%']..., số giá trị độc nhất: 7
W42_2013:
['-0.41%', '+4.11%', '+0.19%', '+2.01%', '+1.04%', '+0.69%', '+2.15%']..., số giá trị độc nhất: 7
W42_2014:
['-1.72%', '-3.76%', '-3.44%', '-9.73%', '-3.32%', '-2.74%', '-2.73%']..., số giá trị độc nhất: 7
W42_2015:
['-1.48%', '+1.86%', '+0.95%', '-1.98%', '+1.06%', '+2.29%', '+0.89%']..., số giá trị độc nhất: 7
W42_2016:
['-1.09%', '+2.55%', '+0.56%', '-1.75%', '+1.84%', '+1.46%', '-0.95%']..., số giá trị độc nhất: 7
W42_2017:
['+5.12%', '+3.83%', '-1.36%', '-0.27%', '+1.65%', '-0.41%', '+1.78%']..., số giá trị độc nhất: 7
W42_2018:
['-0.99%', '-0.25%', '-0.15%', '+0.45%', '-1.24%', '-0.71%', '-1.11%']..., số giá trị độc nhất: 7
W42_2019:
['+0.17%', '-0.01%', '-1.41%', '-2.46%', '-0.02%', '+0.58%', '+0.18%']..., số giá trị độc nhất: 7
W42_2020:
['-0.80%', '-1.15%', '+1.54%', '-1.01%', '-0.43%', '+1.65%', '+4.33%']..., số giá trị độc nhất: 7
W42_2021:
['-0.48%', '+1.71%', '+3.45%', '+8.69%', '+1.46%', '-0.22%', '+2.10%']..., số giá trị độc nhất: 7
W42_2022:
['-1.25%', '-0.30%', '+5.49%', '+2.88%', '+5.91%', '+0.17%', '+4.13%']..., số giá trị độc nhất: 7
W42_2023:
['-1.63%', '-2.99%', '-5.65%', '-2.65%', '-4.68%', '-2.93%', '-3.08%']..., số giá trị độc nhất: 7
W42_2024:
['-0.19%', '+1.22%', '-0.75%', '-4.39%', '-0.74%', '+1.43%', '+0.32%']..., số giá trị độc nhất: 7
W42_TRUNG BÌNH:
['-0.52%', '+0.05%', '-0.07%', '-0.85%', '+0.04%', '+0.39%', '+0.36%']..., số giá trị độc nhất: 7
W42_TRUNG VỊ:
['-0.99%', '-0.01%', '-0.15%', '-1.01%', '-0.43%', '+0.41%', '+0.32%']..., số giá trị độc nhất: 7
W43_2010:
['-2.62%', '-7.62%', '-3.90%', '-1.74%', '-6.02%', '+0.10%', '-4.16%']..., số giá trị độc nhất: 7
W43_2011:
['-0.36%', '-1.49%', '-0.86%', '-0.91%', '-4.40%', '+2.61%', '-0.77%']..., số giá trị độc nhất: 7
W43_2012:
['-2.48%', '-1.95%', '+0.39%', '-0.69%', '-0.63%', '-2.14%', '-0.70%']..., số giá trị độc nhất: 7
W43_2013:
['-2.43%', '+0.54%', '+0.58%', '-1.13%', '-0.09%', '+0.46%', '+0.14%']..., số giá trị độc nhất: 7
W43_2014:
['+0.36%', '-0.87%', '+0.82%', '+2.30%', '-0.25%', '+0.15%', '-0.46%']..., số giá trị độc nhất: 7
W43_2015:
['+0.36%', '+3.47%', '+0.78%', '+0.25%', '+2.50%', '+3.92%', '+0.50%']..., số giá trị độc nhất: 7
W43_2016:
['-5.42%', '+2.66%', '-0.67%', '-3.25%', '-0.80%', '+0.32%', '-0.38%']..., số giá trị độc nhất: 7
W43_2017:
['-2.07%', '+7.15%', '-1.27%', '-2.73%', '-1.01%', '+1.34%', '-0.07%']..., số giá trị độc nhất: 7
W43_2018:
['-0.98%', '-2.40%', '-3.77%', '-10.98%', '-6.90%', '-2.69%', '-7.31%']..., số giá trị độc nhất: 7
W43_2019:
['+0.13%', '+0.86%', '+2.36%', '+3.42%', '+0.32%', '+0.72%', '+1.05%']..., số giá trị độc nhất: 7
W43_2020:
['+0.18%', '+1.11%', '+2.10%', '+0.77%', '+0.63%', '+1.63%', '+1.65%']..., số giá trị độc nhất: 7
W43_2021:
['+0.65%', '+0.85%', '+0.81%', '+1.60%', '+0.03%', '-0.32%', '-1.02%']..., số giá trị độc nhất: 7
W43_2022:
['+0.77%', '-0.12%', '-7.95%', '-3.73%', '-5.23%', '+0.02%', '-3.79%']..., số giá trị độc nhất: 7
W43_2023:
['-4.17%', '-3.99%', '-4.65%', '-8.84%', '-4.28%', '-6.11%', '-1.87%']..., số giá trị độc nhất: 7
W43_2024:
['-2.02%', '+0.91%', '-3.58%', '-5.39%', '-1.25%', '-1.02%', '-3.01%']..., số giá trị độc nhất: 7
W43_TRUNG BÌNH:
['-1.34%', '-0.06%', '-1.25%', '-2.07%', '-1.82%', '-0.07%', '-1.35%']..., số giá trị độc nhất: 7
W43_TRUNG VỊ:
['-0.98%', '+0.54%', '-0.67%', '-1.13%', '-0.80%', '+0.15%', '-0.70%']..., số giá trị độc nhất: 7
W44_2010:
['+0.74%', '+1.01%', '+2.60%', '+1.43%', '+2.43%', '+0.90%', '+0.65%']..., số giá trị độc nhất: 7
W44_2011:
['-0.11%', '+1.97%', '+1.60%', '+3.51%', '-4.12%', '+1.51%', '+4.55%']..., số giá trị độc nhất: 7
W44_2012:
['-0.67%', '-3.09%', '-3.31%', '-4.12%', '-2.94%', '-5.46%', '-4.85%']..., số giá trị độc nhất: 7
W44_2013:
['-0.13%', '+0.87%', '+0.47%', '-2.83%', '-0.88%', '-1.35%']..., số giá trị độc nhất: 6
W44_2014:
['+1.25%', '+1.51%', '+0.43%', '+1.13%', '+0.93%', '+0.27%', '+3.11%']..., số giá trị độc nhất: 7
W44_2015:
['+2.04%', '+2.30%', '+0.77%', '-1.90%', '+3.75%', '+1.58%', '+0.13%']..., số giá trị độc nhất: 7
W44_2016:
['+0.02%', '+3.39%', '-0.34%', '-2.83%', '-0.78%', '+0.30%', '-1.48%']..., số giá trị độc nhất: 7
W44_2017:
['-3.75%', '+0.45%', '-2.52%', '+3.58%', '-4.80%', '+1.67%', '-0.84%']..., số giá trị độc nhất: 7
W44_2018:
['-0.44%', '+3.49%', '+1.98%', '+5.90%', '+2.87%', '+1.20%', '+3.42%']..., số giá trị độc nhất: 7
W44_2019:
['+0.43%', '+0.01%', '-1.45%', '-2.58%', '-0.20%', '+0.13%', '+0.80%']..., số giá trị độc nhất: 7
W44_2020:
['-0.92%', '-3.16%', '-1.96%', '-5.36%', '-2.75%', '-2.53%', '-6.72%']..., số giá trị độc nhất: 7
W44_2021:
['+3.13%', '+6.13%', '+2.50%', '+7.18%', '+4.56%', '+3.61%', '+3.02%']..., số giá trị độc nhất: 7
W44_2022:
['-0.90%', '-0.11%', '-1.80%', '-8.92%', '-2.93%', '+1.00%', '+4.94%']..., số giá trị độc nhất: 7
W44_2023:
['+0.71%', '+1.36%', '+2.04%', '-0.79%', '-1.47%', '+1.80%', '+1.71%']..., số giá trị độc nhất: 7
W44_2024:
['+0.56%', '+1.68%', '+0.46%', '-0.20%', '+0.09%', '-0.45%', '+0.85%']..., số giá trị độc nhất: 7
W44_TRUNG BÌNH:
['+0.13%', '+1.19%', '+0.10%', '-0.45%', '-0.42%', '+0.31%', '+0.53%']..., số giá trị độc nhất: 7
W44_TRUNG VỊ:
['+0.02%', '+1.36%', '+0.46%', '-0.79%', '-0.78%', '+0.90%', '+0.80%']..., số giá trị độc nhất: 7
W45_2010:
['-2.48%', '-0.40%', '+1.32%', '+4.04%', '-0.60%', '+1.16%', '+0.11%']..., số giá trị độc nhất: 7
W45_2011:
['+0.93%', '-5.08%', '-4.42%', '-7.54%', '-4.18%', '+1.69%', '-5.19%']..., số giá trị độc nhất: 7
W45_2012:
['-1.18%', '+0.27%', '+1.69%', '+3.73%', '+1.83%', '+5.09%', '+5.15%']..., số giá trị độc nhất: 7
W45_2013:
['-1.08%', '+4.00%', '+1.05%', '+1.39%', '+1.81%', '-0.42%', '+0.47%']..., số giá trị độc nhất: 7
W45_2014:
['+2.01%', '+1.79%', '+1.78%', '+0.57%', '+1.19%', '+2.06%', '-1.14%']..., số giá trị độc nhất: 7
W45_2015:
['-2.24%', '-1.53%', '-1.06%', '-1.83%', '-2.04%', '+5.21%', '-0.41%']..., số giá trị độc nhất: 7
W45_2016:
['-0.65%', '+0.05%', '-1.61%', '-8.29%', '-1.43%', '+2.26%', '-2.87%']..., số giá trị độc nhất: 7
W45_2017:
['+3.10%', '+1.41%', '+2.66%', '+5.07%', '+1.77%', '+3.40%', '+3.25%']..., số giá trị độc nhất: 7
W45_2018:
['+0.62%', '-0.95%', '-3.10%', '-4.15%', '-3.08%', '+0.57%', '-2.25%']..., số giá trị độc nhất: 7
W45_2019:
['+0.86%', '-1.02%', '+1.80%', '+2.47%', '+0.01%', '-0.67%', '+2.73%']..., số giá trị độc nhất: 7
W45_2020:
['+0.64%', '+2.39%', '+2.34%', '+3.53%', '+1.00%', '+2.18%']..., số giá trị độc nhất: 6
W45_2021:
['+0.77%', '+0.23%', '+0.32%', '-1.89%', '+3.08%', '+1.04%', '+3.29%']..., số giá trị độc nhất: 7
W45_2022:
['-1.06%', '-1.40%', '-6.96%', '-4.57%', '-7.10%', '-0.14%', '-0.84%']..., số giá trị độc nhất: 7
W45_2023:
['+1.03%', '+2.87%', '+4.65%', '+3.34%', '+2.65%', '+0.34%', '+1.53%']..., số giá trị độc nhất: 7
W45_2024:
['-0.96%', '+4.10%', '+0.96%', '+1.71%', '+0.45%', '+0.74%', '-0.88%']..., số giá trị độc nhất: 7
W45_TRUNG BÌNH:
['+0.02%', '+0.45%', '+0.10%', '-0.16%', '-0.31%', '+1.63%', '+0.34%']..., số giá trị độc nhất: 7
W45_TRUNG VỊ:
['+0.62%', '+0.23%', '+1.05%', '+1.39%', '+0.45%', '+1.16%', '+0.11%']..., số giá trị độc nhất: 7
W46_2010:
['-2.03%', '-8.85%', '-5.88%', '+0.03%', '-6.27%', '-1.03%', '-4.08%']..., số giá trị độc nhất: 7
W46_2011:
['+0.47%', '-5.45%', '-4.74%', '-1.41%', '-3.23%', '-2.47%', '-4.70%']..., số giá trị độc nhất: 7
W46_2012:
['+0.71%', '+1.72%', '+0.06%', '-0.06%', '+0.10%', '+0.36%', '-0.04%']..., số giá trị độc nhất: 7
W46_2013:
['+1.88%', '+1.13%', '+1.34%', '+1.92%', '+0.15%', '-0.21%']..., số giá trị độc nhất: 6
W46_2014:
['+2.11%', '+1.71%', '+0.01%', '-1.44%', '+1.49%', '-1.17%', '+0.15%']..., số giá trị độc nhất: 7
W46_2015:
['+0.63%', '+0.77%', '+0.91%', '-5.54%', '+2.32%', '+2.67%', '-0.89%']..., số giá trị độc nhất: 7
W46_2016:
['-0.16%', '+5.22%', '+4.16%', '+1.72%', '+2.43%', '+0.48%', '+0.85%']..., số giá trị độc nhất: 7
W46_2017:
['+3.69%', '+3.11%', '+1.87%', '+1.86%', '-0.25%', '+2.39%', '+2.16%']..., số giá trị độc nhất: 7
W46_2018:
['-0.74%', '+0.45%', '-1.34%', '+3.24%', '+0.30%', '+1.22%', '-1.13%']..., số giá trị độc nhất: 7
W46_2019:
['+1.20%', '-0.28%', '-0.48%', '+1.43%', '-0.68%', '-3.22%', '-1.18%']..., số giá trị độc nhất: 7
W46_2020:
['+0.80%', '+5.96%', '+5.09%', '+4.24%', '+2.38%', '+0.70%', '+3.88%']..., số giá trị độc nhất: 7
W46_2021:
['+1.43%', '+2.30%', '+1.47%', '+3.22%', '+6.44%', '+1.24%', '+0.22%']..., số giá trị độc nhất: 7
W46_2022:
['-3.70%', '-1.14%', '-11.86%', '-12.68%', '-5.74%', '-2.14%', '-2.89%']..., số giá trị độc nhất: 7
W46_2023:
['-0.22%', '+1.47%', '+0.73%', '+0.36%', '+1.37%', '+1.83%', '+0.26%']..., số giá trị độc nhất: 7
W46_2024:
['-1.25%', '+0.11%', '-2.48%', '-10.87%', '-3.82%', '+0.34%', '-3.77%']..., số giá trị độc nhất: 7
W46_TRUNG BÌNH:
['+0.32%', '+0.55%', '-0.74%', '-0.93%', '-0.12%', '+0.09%', '-0.76%']..., số giá trị độc nhất: 7
W46_TRUNG VỊ:
['+0.63%', '+1.13%', '+0.06%', '+0.36%', '+0.30%', '-0.21%']..., số giá trị độc nhất: 6
W47_2010:
['-0.60%', '-1.52%', '-1.95%', '-7.48%', '-3.12%', '-1.39%', '-5.12%']..., số giá trị độc nhất: 7
W47_2011:
['-5.37%', '-4.68%', '-3.43%', '-0.71%', '-4.08%', '-4.60%', '-0.23%']..., số giá trị độc nhất: 7
W47_2012:
['+1.47%', '-0.32%', '+0.20%', '-0.77%', '+0.74%', '-1.17%', '-1.32%']..., số giá trị độc nhất: 7
W47_2013:
['-0.67%', '+2.70%', '+1.35%', '+3.63%', '+0.23%', '-0.07%', '-0.12%']..., số giá trị độc nhất: 7
W47_2014:
['-0.36%', '-1.09%', '-0.78%', '-4.26%', '+0.70%', '-2.29%', '-1.02%']..., số giá trị độc nhất: 7
W47_2015:
['+1.12%', '+1.26%', '+0.90%', '-0.20%', '-0.78%', '-2.63%', '-1.48%']..., số giá trị độc nhất: 7
W47_2016:
['+0.22%', '+5.11%', '-1.94%', '+0.09%', '-0.99%', '-2.73%', '-2.11%']..., số giá trị độc nhất: 7
W47_2017:
['+2.86%', '+1.82%', '+1.27%', '+8.85%', '+3.73%', '+5.51%', '+6.19%']..., số giá trị độc nhất: 7
W47_2018:
['-0.62%', '+0.65%', '+1.08%', '-1.46%', '+1.75%', '+0.79%', '+1.48%']..., số giá trị độc nhất: 7
W47_2019:
['-0.74%', '-2.61%', '-0.70%', '-3.18%', '-2.40%', '-3.04%', '-4.08%']..., số giá trị độc nhất: 7
W47_2020:
['+0.46%', '+3.78%', '+7.24%', '+8.25%', '+1.91%', '+1.89%', '+3.34%']..., số giá trị độc nhất: 7
W47_2021:
['-0.14%', '+0.19%', '-6.33%', '-11.30%', '+2.40%', '-2.11%', '+1.42%']..., số giá trị độc nhất: 7
W47_2022:
['+2.98%', '+0.83%', '+3.98%', '-10.16%', '-0.42%', '+0.44%', '+1.06%']..., số giá trị độc nhất: 7
W47_2023:
['-1.95%', '-0.54%', '+0.01%', '+1.31%', '-1.15%', '-1.94%', '-0.24%']..., số giá trị độc nhất: 7
W47_2024:
['+1.78%', '+0.76%', '+0.12%', '+2.57%', '+0.15%', '+0.47%', '+1.46%']..., số giá trị độc nhất: 7
W47_TRUNG BÌNH:
['+0.03%', '+0.42%', '+0.07%', '-0.99%', '-0.09%', '-0.86%', '-0.05%']..., số giá trị độc nhất: 7
W47_TRUNG VỊ:
['-0.14%', '+0.65%', '+0.12%', '-0.71%', '+0.15%', '-1.39%', '-0.23%']..., số giá trị độc nhất: 7
W48_2010:
['-2.52%', '+3.45%', '+2.38%', '+4.84%', '+3.57%', '+3.14%', '+3.39%']..., số giá trị độc nhất: 7
W48_2011:
['-1.89%', '-2.94%', '-0.32%', '-0.99%', '+1.18%', '+1.55%', '+0.17%']..., số giá trị độc nhất: 7
W48_2012:
['-0.59%', '-0.93%', '-0.27%', '-1.21%', '-0.22%', '-1.44%', '-0.49%']..., số giá trị độc nhất: 7
W48_2013:
['+1.31%', '+1.06%', '+0.51%', '+2.00%', '+2.64%', '+1.21%', '+0.48%']..., số giá trị độc nhất: 7
W48_2014:
['-1.47%', '+1.18%', '-1.30%', '-12.92%', '-3.00%', '-1.31%', '-1.20%']..., số giá trị độc nhất: 7
W48_2015:
['-1.90%', '-0.67%', '-2.15%', '-2.51%', '+0.98%', '-3.75%', '-5.21%']..., số giá trị độc nhất: 7
W48_2016:
['+1.49%', '+13.11%', '-0.33%', '+1.30%', '+0.20%', '+0.09%', '+0.97%']..., số giá trị độc nhất: 7
W48_2017:
['+1.45%', '+3.43%', '+3.50%', '+0.86%', '+3.92%', '+4.80%', '+2.47%']..., số giá trị độc nhất: 7
W48_2018:
['-0.44%', '+2.09%', '-2.34%', '+1.05%', '-0.32%', '+2.96%', '+0.20%']..., số giá trị độc nhất: 7
W48_2019:
['+1.52%', '-1.83%', '-0.15%', '-2.07%', '-1.29%', '-1.05%', '-0.54%']..., số giá trị độc nhất: 7
W48_2020:
['+1.19%', '+0.42%', '+1.72%', '+1.04%', '+2.38%', '+1.55%', '+2.22%']..., số giá trị độc nhất: 7
W48_2021:
['+0.35%', '+0.52%', '+0.64%', '-5.51%', '-2.34%', '+1.40%', '+6.09%']..., số giá trị độc nhất: 7
W48_2022:
['+2.28%', '+5.20%', '+2.49%', '+3.87%', '+0.62%', '+2.58%', '+1.85%']..., số giá trị độc nhất: 7
W48_2023:
['+1.06%', '+0.91%', '+1.78%', '+2.40%', '+1.00%', '+1.96%', '-0.21%']..., số giá trị độc nhất: 7
W48_2024:
['+3.16%', '+2.24%', '+1.73%', '+2.75%', '+2.03%', '+1.90%', '+1.93%']..., số giá trị độc nhất: 7
W48_TRUNG BÌNH:
['+0.33%', '+1.82%', '+0.53%', '-0.34%', '+0.76%', '+1.04%', '+0.81%']..., số giá trị độc nhất: 7
W48_TRUNG VỊ:
['+1.06%', '+0.51%', '+1.04%', '+0.98%', '+1.55%', '+0.48%']..., số giá trị độc nhất: 6
W49_2010:
['+1.74%', '+14.79%', '+5.70%', '+8.84%', '+9.70%', '+0.34%', '+7.30%']..., số giá trị độc nhất: 7
W49_2011:
['-2.91%', '-1.06%', '-1.21%', '-2.42%', '+2.47%', '+0.12%', '-2.59%']..., số giá trị độc nhất: 7
W49_2012:
['+2.15%', '+2.85%', '+0.94%', '+1.14%', '+1.21%', '+3.58%', '+3.51%']..., số giá trị độc nhất: 7
W49_2013:
['+4.19%', '+3.39%', '-0.26%', '-0.13%', '+1.92%', '-0.67%', '-0.55%']..., số giá trị độc nhất: 7
W49_2014:
['-1.02%', '+0.70%', '+2.92%', '-0.06%', '+2.79%', '+0.52%', '+5.05%']..., số giá trị độc nhất: 7
W49_2015:
['-1.44%', '-1.22%', '+0.07%', '-3.11%', '-1.25%', '-3.49%']..., số giá trị độc nhất: 6
W49_2016:
['-1.43%', '-0.97%', '-0.93%', '-0.25%', '-0.27%', '-0.98%', '-2.16%']..., số giá trị độc nhất: 7
W49_2017:
['+0.04%', '-2.07%', '+0.38%', '-0.13%', '-0.37%', '-2.61%', '-1.66%']..., số giá trị độc nhất: 7
W49_2018:
['+2.52%', '+2.68%', '+2.20%', '+4.04%', '+3.44%', '+4.96%']..., số giá trị độc nhất: 6
W49_2019:
['+0.86%', '+0.26%', '-1.44%', '-2.49%', '+0.17%', '-2.04%', '-0.93%']..., số giá trị độc nhất: 7
W49_2020:
['+0.72%', '+2.55%', '+2.47%', '+5.40%', '-0.38%', '+1.85%', '+0.67%']..., số giá trị độc nhất: 7
W49_2021:
['+6.83%', '-1.51%', '-1.82%', '+0.42%', '-2.78%', '-3.37%', '-6.56%']..., số giá trị độc nhất: 7
W49_2022:
['+4.99%', '+7.94%', '+15.59%', '+19.19%', '+12.35%', '+5.10%', '+12.12%']..., số giá trị độc nhất: 7
W49_2023:
['-0.90%', '+0.28%', '+1.97%', '+0.40%', '+3.21%', '+2.13%', '+2.18%']..., số giá trị độc nhất: 7
W49_2024:
['+1.96%', '-1.48%', '+2.67%', '+5.78%', '+1.44%', '+0.59%', '+1.76%']..., số giá trị độc nhất: 7
W49_TRUNG BÌNH:
['+1.22%', '+1.81%', '+1.95%', '+2.44%', '+2.24%', '+0.54%', '+1.31%']..., số giá trị độc nhất: 7
W49_TRUNG VỊ:
['+0.86%', '+0.28%', '+0.94%', '+0.40%', '+1.44%', '+0.34%', '+0.67%']..., số giá trị độc nhất: 7
W4_2010:
['-4.38%', '-9.39%', '-8.25%', '-6.23%', '-8.36%', '-2.25%', '-5.69%']..., số giá trị độc nhất: 7
W4_2011:
['-0.35%', '-1.51%', '+3.07%', '+2.80%', '-4.13%', '+11.38%', '+8.00%']..., số giá trị độc nhất: 7
W4_2013:
['+2.08%', '+0.57%', '+2.11%', '+0.21%', '-0.09%', '+2.16%', '+2.61%']..., số giá trị độc nhất: 7
W4_2014:
['-0.03%', '+1.60%', '-0.63%', '+7.58%', '+1.65%', '+2.26%', '+3.95%']..., số giá trị độc nhất: 7
W4_2015:
['-1.31%', '-0.62%', '-0.66%', '+0.39%', '+1.04%', '-0.95%', '+4.00%']..., số giá trị độc nhất: 7
W4_2016:
['-1.02%', '-0.18%', '-0.90%', '-9.45%', '-2.70%', '-3.86%', '-5.49%']..., số giá trị độc nhất: 7
W4_2017:
['+1.74%', '+2.25%', '+0.71%', '+3.71%', '+0.96%', '+1.07%', '+2.48%']..., số giá trị độc nhất: 7
W4_2018:
['+3.62%', '+3.28%', '+8.16%', '+13.60%', '+5.43%', '+6.77%', '+14.02%']..., số giá trị độc nhất: 7
W4_2019:
['+0.10%', '+2.86%', '-0.34%', '-3.88%', '+0.08%', '+0.81%', '+2.69%']..., số giá trị độc nhất: 7
W4_2020:
['+0.75%', '+0.89%', '+3.35%', '+13.11%', '+1.93%', '+0.16%', '+1.80%']..., số giá trị độc nhất: 7
W4_2021:
['-1.61%', '+0.25%', '-0.39%', '-3.93%', '+0.31%', '-2.59%', '-3.81%']..., số giá trị độc nhất: 7
W4_2022:
['-2.55%', '-6.07%', '-5.48%', '+4.86%', '-2.73%', '+0.14%', '+0.48%']..., số giá trị độc nhất: 7
W4_2023:
['+1.31%', '+1.28%', '+1.62%', '+5.00%', '+1.72%', '+0.85%', '-0.15%']..., số giá trị độc nhất: 7
W4_2024:
['-0.38%', '+4.01%', '+0.61%', '+2.17%', '-0.06%', '-1.01%', '-0.28%']..., số giá trị độc nhất: 7
W4_2025:
['-0.30%', '+1.16%', '+0.61%', '-3.56%', '+2.79%', '+0.27%', '+2.09%']..., số giá trị độc nhất: 7
W4_TRUNG BÌNH:
['-0.16%', '+0.02%', '+0.24%', '+1.76%', '-0.14%', '+1.01%', '+1.78%']..., số giá trị độc nhất: 7
W4_TRUNG VỊ:
['-0.30%', '+0.89%', '+0.61%', '+2.17%', '+0.31%', '+0.27%', '+2.09%']..., số giá trị độc nhất: 7
W50_2010:
['-0.63%', '-1.63%', '-0.06%', '+1.56%', '+1.74%', '+1.04%']..., số giá trị độc nhất: 6
W50_2011:
['+0.35%', '-0.58%', '-0.82%', '-4.45%', '-0.91%', '-2.35%', '-1.39%']..., số giá trị độc nhất: 7
W50_2012:
['+1.44%', '+3.73%', '+1.48%', '+2.21%', '+1.43%', '+0.32%', '+5.19%']..., số giá trị độc nhất: 7
W50_2013:
['+0.73%', '-0.42%', '-0.94%', '-1.16%', '-0.29%', '+0.87%', '-1.98%']..., số giá trị độc nhất: 7
W50_2014:
['-2.35%', '-3.54%', '-1.38%', '-16.98%', '-1.11%', '-1.15%', '-1.23%']..., số giá trị độc nhất: 7
W50_2015:
['-2.20%', '+0.34%', '-0.05%', '-7.23%', '-1.20%', '-0.46%', '-1.24%']..., số giá trị độc nhất: 7
W50_2016:
['-0.80%', '-1.22%', '-1.25%', '-6.30%', '-2.79%', '+9.51%', '-1.58%']..., số giá trị độc nhất: 7
W50_2017:
['+0.94%', '-0.39%', '+1.47%', '+7.67%', '+0.37%', '+1.96%', '-3.06%']..., số giá trị độc nhất: 7
W50_2018:
['-0.70%', '+0.61%', '-0.49%', '+1.59%', '+0.21%', '+1.12%', '-1.46%']..., số giá trị độc nhất: 7
W50_2019:
['+0.76%', '+0.17%', '+0.54%', '-1.93%', '+0.15%', '-1.61%', '+2.40%']..., số giá trị độc nhất: 7
W50_2020:
['+3.02%', '+2.44%', '+2.50%', '+8.80%', '+2.63%', '+1.37%', '+4.75%']..., số giá trị độc nhất: 7
W50_2021:
['+2.50%', '-0.07%', '+0.34%', '+3.93%', '+0.38%', '+1.27%', '+1.66%']..., số giá trị độc nhất: 7
W50_2022:
['+0.82%', '+0.98%', '+0.50%', '-5.54%', '-0.99%', '-2.34%', '-2.86%']..., số giá trị độc nhất: 7
W50_2023:
['-0.38%', '-1.36%', '-2.42%', '-3.14%', '-2.72%', '-1.71%', '-1.89%']..., số giá trị độc nhất: 7
W50_2024:
['+0.21%', '-0.29%', '-0.61%', '+6.80%', '-1.01%', '+1.00%', '-0.30%']..., số giá trị độc nhất: 7
W50_TRUNG BÌNH:
['+0.25%', '-0.08%', '-0.94%', '-0.27%', '+0.48%', '-0.13%']..., số giá trị độc nhất: 6
W50_TRUNG VỊ:
['+0.35%', '-0.29%', '-0.06%', '-1.16%', '+0.32%', '-1.24%']..., số giá trị độc nhất: 6
W51_2010:
['+1.45%', '-1.11%', '+1.87%', '+0.64%', '-1.02%', '+1.13%', '+10.22%']..., số giá trị độc nhất: 7
W51_2011:
['+0.47%', '-2.68%', '-2.54%', '+2.12%', '+1.43%', '-9.69%', '-3.90%']..., số giá trị độc nhất: 7
W51_2012:
['+0.41%', '+0.66%', '+2.84%', '+3.63%', '+1.25%', '+0.18%', '+0.92%']..., số giá trị độc nhất: 7
W51_2013:
['-1.06%', '+2.18%', '+0.44%', '+2.35%', '+1.11%', '+0.49%', '-0.34%']..., số giá trị độc nhất: 7
W51_2014:
['-1.85%', '-5.21%', '-5.07%', '-2.86%', '-3.94%', '-5.54%', '-6.44%']..., số giá trị độc nhất: 7
W51_2015:
['+1.66%', '+1.02%', '+0.42%', '-6.24%', '-0.47%', '+2.11%', '+1.22%']..., số giá trị độc nhất: 7
W51_2016:
['-2.84%', '+8.45%', '+1.19%', '+0.42%', '-0.28%', '+13.00%', '-0.22%']..., số giá trị độc nhất: 7
W51_2017:
['+0.97%', '+5.85%', '+1.36%', '+8.33%', '+2.16%', '-4.06%', '+4.18%']..., số giá trị độc nhất: 7
W51_2018:
['-2.47%', '-1.03%', '-2.94%', '-6.25%', '-3.40%', '-4.38%', '-3.61%']..., số giá trị độc nhất: 7
W51_2019:
['+0.85%', '-0.80%', '-2.75%', '-4.70%', '-0.09%', '+0.08%', '-0.10%']..., số giá trị độc nhất: 7
W51_2020:
['+1.88%', '+3.44%', '+4.72%', '+9.23%', '+1.58%', '+0.08%', '+4.16%']..., số giá trị độc nhất: 7
W51_2021:
['+3.03%', '+0.41%', '+1.18%', '+2.40%', '+2.30%', '+0.89%', '-1.04%']..., số giá trị độc nhất: 7
W51_2022:
['+0.97%', '+1.96%', '+4.15%', '+3.89%', '+1.82%', '-0.93%', '+2.40%']..., số giá trị độc nhất: 7
W51_2023:
['-0.40%', '+0.76%', '+1.08%', '+0.92%', '+0.83%', '+0.67%', '0.00%']..., số giá trị độc nhất: 7
W51_2024:
['+0.91%', '+4.32%', '-0.12%', '+1.40%', '+1.19%', '+1.57%', '-0.89%']..., số giá trị độc nhất: 7
W51_TRUNG BÌNH:
['+0.27%', '+1.22%', '+0.39%', '+1.02%', '+0.30%', '-0.29%', '+0.44%']..., số giá trị độc nhất: 7
W51_TRUNG VỊ:
['+0.85%', '+0.76%', '+1.08%', '+1.40%', '+1.11%', '+0.18%', '-0.10%']..., số giá trị độc nhất: 7
W52_2010:
['-0.05%', '-5.19%', '-2.84%', '-1.93%', '-0.85%', '+0.67%', '-5.90%']..., số giá trị độc nhất: 7
W52_2011:
['-3.30%', '-4.05%', '-4.69%', '-8.27%', '-1.44%', '-2.71%', '-2.72%']..., số giá trị độc nhất: 7
W52_2012:
['+5.30%', '+6.96%', '+2.35%', '+3.13%', '+4.27%', '+3.78%', '+5.67%']..., số giá trị độc nhất: 7
W52_2013:
['+0.15%', '+0.05%', '+1.17%', '+2.85%', '+1.38%', '-2.20%', '-0.98%']..., số giá trị độc nhất: 7
W52_2014:
['+0.82%', '-2.46%', '+1.60%', '+3.51%', '+0.57%', '+1.63%', '+2.99%']..., số giá trị độc nhất: 7
W52_2015:
['-0.79%', '-0.32%', '-0.35%', '+2.82%', '-1.79%', '-0.36%', '-0.24%']..., số giá trị độc nhất: 7
W52_2016:
['+0.28%', '-1.96%', '+0.67%', '-3.13%', '-0.14%', '-7.00%', '+0.99%']..., số giá trị độc nhất: 7
W52_2017:
['+0.33%', '+10.24%', '+2.54%', '+4.78%', '+3.23%', '+1.26%', '+5.65%']..., số giá trị độc nhất: 7
W52_2018:
['+1.07%', '+3.37%', '-0.29%', '-6.85%', '-1.75%', '+1.62%', '-2.58%']..., số giá trị độc nhất: 7
W52_2019:
['-0.18%', '+0.52%', '-0.10%', '+0.98%', '+1.10%', '-0.41%', '+2.40%']..., số giá trị độc nhất: 7
W52_2020:
['+2.88%', '+1.16%', '+6.41%', '+5.61%', '+2.70%', '-0.15%', '+1.97%']..., số giá trị độc nhất: 7
W52_2021:
['-3.11%', '-1.19%', '-0.74%', '+2.68%', '-0.96%', '+1.87%', '+0.39%']..., số giá trị độc nhất: 7
W52_2022:
['-1.14%', '-2.38%', '-6.21%', '-6.89%', '-4.90%', '-0.07%', '-1.98%']..., số giá trị độc nhất: 7
W52_2023:
['+2.45%', '+3.36%', '+3.18%', '+1.57%', '+1.21%', '+1.88%', '+2.09%']..., số giá trị độc nhất: 7
W52_2024:
['+0.10%', '+1.26%', '+2.39%', '+0.69%', '+0.79%', '+2.44%', '+2.84%']..., số giá trị độc nhất: 7
W52_TRUNG BÌNH:
['+0.32%', '+0.62%', '+0.34%', '+0.10%', '+0.23%', '+0.15%', '+0.71%']..., số giá trị độc nhất: 7
W52_TRUNG VỊ:
['+0.15%', '+0.05%', '+0.67%', '+1.57%', '+0.57%', '+0.99%']..., số giá trị độc nhất: 6
W53_2010:
['-0.05%', '+1.04%', '+1.59%', '+0.96%', '+1.92%', '+4.77%', '+3.23%']..., số giá trị độc nhất: 7
W53_2011:
['-0.97%', '-1.06%', '+0.23%', '+2.10%', '+0.64%', '-0.75%', '-0.41%']..., số giá trị độc nhất: 7
W53_2013:
['-0.30%', '-0.63%', '-0.11%', '-0.19%', '-0.20%', '-0.72%', '-0.03%']..., số giá trị độc nhất: 7
W53_2014:
['+3.75%', '+3.60%', '+2.76%', '+1.79%', '+1.74%', '+2.55%', '+1.86%']..., số giá trị độc nhất: 7
W53_2015:
['+2.12%', '+3.14%', '+1.18%', '-2.63%', '+2.11%', '+2.30%', '+2.99%']..., số giá trị độc nhất: 7
W53_2016:
['+1.49%', '-0.93%', '-0.22%', '-0.60%', '+1.08%', '+1.24%', '+0.12%']..., số giá trị độc nhất: 7
W53_2019:
['+1.17%', '+0.07%', '-0.96%', '+1.60%', '+0.08%', '-0.69%', '+0.59%']..., số giá trị độc nhất: 7
W53_2020:
['+1.67%', '+2.43%', '+1.70%', '+8.91%', '+2.95%', '+1.30%', '+1.84%']..., số giá trị độc nhất: 7
W53_2021:
['+0.07%', '+3.64%', '-0.44%', '-0.06%', '+1.04%', '+0.65%', '+4.24%']..., số giá trị độc nhất: 7
W53_2022:
['+1.69%', '+1.14%', '-1.79%', '-3.41%', '-1.08%', '-1.21%', '-1.22%']..., số giá trị độc nhất: 7
W53_2024:
['-0.20%', '+1.03%', '-1.57%', '+0.85%', '-0.94%', '+3.66%', '-0.93%']..., số giá trị độc nhất: 7
W53_TRUNG BÌNH:
['+0.95%', '+1.23%', '+0.22%', '+0.85%', '+1.19%', '+1.12%']..., số giá trị độc nhất: 6
W53_TRUNG VỊ:
['+1.17%', '+1.04%', '-0.11%', '+0.85%', '+1.24%', '+0.59%']..., số giá trị độc nhất: 6
W5_2010:
['+3.11%', '+0.84%', '+5.50%', '+0.30%', '-0.17%', '+1.80%', '+0.40%']..., số giá trị độc nhất: 7
W5_2011:
['-1.56%', '-0.63%', '-0.82%', '+1.83%', '-0.79%', '-2.10%', '-1.18%']..., số giá trị độc nhất: 7
W5_2012:
['+3.71%', '+4.89%', '+4.93%', '+12.76%', '+1.18%', '+7.53%', '+7.81%']..., số giá trị độc nhất: 7
W5_2013:
['+0.93%', '+4.91%', '+3.06%', '+1.33%', '+0.27%', '+2.95%', '+4.90%']..., số giá trị độc nhất: 7
W5_2014:
['+3.96%', '+1.53%', '-0.59%', '-1.23%', '+1.25%', '-0.82%', '-0.47%']..., số giá trị độc nhất: 7
W5_2015:
['+1.97%', '-1.04%', '-3.05%', '-6.38%', '+0.43%', '+1.80%', '+0.39%']..., số giá trị độc nhất: 7
W5_2016:
['+3.30%', '+1.15%', '+0.79%', '+15.58%', '+3.14%', '+0.71%', '+6.20%']..., số giá trị độc nhất: 7
W5_2017:
['+1.03%', '+1.23%', '+0.97%', '-0.57%', '+1.48%', '+0.61%', '+0.50%']..., số giá trị độc nhất: 7
W5_2018:
['-3.85%', '-6.25%', '-3.46%', '-12.22%', '-3.69%', '-2.87%', '+0.12%']..., số giá trị độc nhất: 7
W5_2019:
['+2.71%', '+1.74%', '-1.25%', '+6.19%', '+0.78%', '-0.10%', '+1.05%']..., số giá trị độc nhất: 7
W5_2020:
['+7.27%', '-6.03%', '-5.51%', '-8.71%', '-5.25%', '-7.15%', '-5.97%']..., số giá trị độc nhất: 7
W5_2021:
['-4.97%', '-7.35%', '-12.59%', '-20.49%', '-5.81%', '-9.29%', '-12.45%']..., số giá trị độc nhất: 7
W5_2022:
['+0.03%', '-1.69%', '-3.18%', '-3.12%', '-1.16%', '-2.28%', '+3.06%']..., số giá trị độc nhất: 7
W5_2023:
['+0.66%', '-2.02%', '-2.73%', '-6.06%', '-2.15%', '-3.42%', '-3.08%']..., số giá trị độc nhất: 7
W5_2024:
['+0.25%', '+3.01%', '+2.78%', '-1.00%', '+2.93%', '+1.93%', '-1.72%']..., số giá trị độc nhất: 7
W5_TRUNG BÌNH:
['+1.24%', '-0.38%', '-1.01%', '-1.45%', '-0.51%', '-0.71%', '-0.03%']..., số giá trị độc nhất: 7
W5_TRUNG VỊ:
['+1.03%', '+0.84%', '-0.82%', '-1.00%', '+0.27%', '-0.10%', '+0.39%']..., số giá trị độc nhất: 7
W6_2010:
['-1.42%', '+1.07%', '+7.42%', '-0.11%', '+1.41%', '+3.33%', '+2.04%']..., số giá trị độc nhất: 7
W6_2012:
['-1.18%', '-1.17%', '+0.02%', '+1.12%', '-0.42%', '-1.95%', '+2.17%']..., số giá trị độc nhất: 7
W6_2013:
['+4.13%', '+7.97%', '+2.86%', '+1.72%', '+4.80%', '-0.02%', '+2.59%']..., số giá trị độc nhất: 7
W6_2014:
['-1.69%', '+1.66%', '+1.67%', '-1.57%', '+0.33%', '-0.90%', '-2.20%']..., số giá trị độc nhất: 7
W6_2015:
['+0.77%', '-1.38%', '-1.98%', '+3.93%', '-0.47%', '-1.43%', '-0.83%']..., số giá trị độc nhất: 7
W6_2016:
['+6.43%', '+0.95%', '+1.29%', '-4.05%', '-1.00%', '+2.54%', '-1.16%']..., số giá trị độc nhất: 7
W6_2017:
['+1.78%', '+2.79%', '+3.08%', '+2.73%', '+0.50%', '-1.17%', '+0.44%']..., số giá trị độc nhất: 7
W6_2018:
['-3.36%', '-7.38%', '-5.60%', '-21.46%', '-9.32%', '-7.52%', '-7.01%']..., số giá trị độc nhất: 7
W6_2020:
['-4.86%', '-2.78%', '+1.70%', '+2.48%', '-0.53%', '-1.19%', '+3.12%']..., số giá trị độc nhất: 7
W6_2021:
['-1.81%', '+3.86%', '+5.19%', '+18.85%', '+3.74%', '+5.75%', '+9.42%']..., số giá trị độc nhất: 7
W6_2023:
['+0.82%', '-1.35%', '-2.59%', '+1.96%', '-2.75%', '-1.36%', '-1.39%']..., số giá trị độc nhất: 7
W6_2024:
['+0.70%', '+1.97%', '+1.57%', '+1.24%', '+0.38%', '+1.12%', '+3.86%']..., số giá trị độc nhất: 7
W6_2025:
['+1.92%', '+4.44%', '+4.30%', '+1.01%', '+1.63%', '+0.67%', '+1.86%']..., số giá trị độc nhất: 7
W6_TRUNG BÌNH:
['+0.17%', '+0.82%', '+1.46%', '+0.60%', '-0.13%', '-0.16%', '+0.99%']..., số giá trị độc nhất: 7
W6_TRUNG VỊ:
['+0.70%', '+1.07%', '+1.67%', '+1.24%', '+0.33%', '-0.90%', '+1.86%']..., số giá trị độc nhất: 7
W7_2010:
['+3.50%', '+0.38%', '+3.93%', '+1.56%', '+1.31%', '+2.78%', '+4.46%']..., số giá trị độc nhất: 7
W7_2011:
['-1.07%', '-1.14%', '+0.03%', '+5.02%', '+0.72%', '+0.65%', '+3.19%']..., số giá trị độc nhất: 7
W7_2012:
['+3.74%', '+0.73%', '+0.30%', '-0.20%', '-0.34%', '+1.82%', '-2.43%']..., số giá trị độc nhất: 7
W7_2014:
['+5.25%', '+7.67%', '+2.19%', '+4.00%', '+5.68%', '+1.68%', '+3.04%']..., số giá trị độc nhất: 7
W7_2015:
['+0.77%', '+2.04%', '+3.33%', '-1.22%', '+1.33%', '+2.87%', '+1.96%']..., số giá trị độc nhất: 7
W7_2017:
['+1.33%', '+0.92%', '+0.89%', '+3.64%', '+1.75%', '-1.32%', '-0.33%']..., số giá trị độc nhất: 7
W7_2018:
['+4.83%', '+6.23%', '+4.39%', '+8.31%', '+5.59%', '+2.90%', '+6.82%']..., số giá trị độc nhất: 7
W7_2019:
['+3.17%', '+1.39%', '+5.93%', '+11.14%', '+3.02%', '+3.79%', '+3.07%']..., số giá trị độc nhất: 7
W7_2020:
['+1.38%', '-0.46%', '+1.13%', '+1.69%', '+0.88%', '-0.74%', '+0.42%']..., số giá trị độc nhất: 7
W7_2021:
['-0.34%', '+0.32%', '-1.96%', '+3.58%', '-0.12%', '-0.68%', '-0.86%']..., số giá trị độc nhất: 7
W7_2022:
['+1.94%', '+6.50%', '+9.07%', '+10.31%', '+4.17%', '+3.37%', '+1.35%']..., số giá trị độc nhất: 7
W7_2023:
['+0.72%', '-0.54%', '+1.38%', '+4.41%', '+1.18%', '-0.53%', '+0.96%']..., số giá trị độc nhất: 7
W7_2024:
['+0.25%', '+1.31%', '+1.66%', '+1.00%', '+0.99%', '+1.40%', '+0.45%']..., số giá trị độc nhất: 7
W7_2025:
['+0.72%', '-2.48%', '+3.52%', '+0.46%', '-0.01%', '-0.46%', '+0.41%']..., số giá trị độc nhất: 7
W7_TRUNG BÌNH:
['+1.87%', '+1.63%', '+2.55%', '+3.84%', '+1.25%', '+1.61%']..., số giá trị độc nhất: 6
W7_TRUNG VỊ:
['+1.36%', '+0.83%', '+1.92%', '+3.61%', '+1.24%', '+1.54%', '+1.15%']..., số giá trị độc nhất: 7
W8_2011:
['-1.98%', '-6.08%', '-4.85%', '-2.54%', '-2.86%', '-2.11%', '-4.07%']..., số giá trị độc nhất: 7
W8_2012:
['-0.18%', '+9.39%', '+7.28%', '+10.43%', '+3.52%', '+3.19%', '+9.81%']..., số giá trị độc nhất: 7
W8_2013:
['-1.39%', '-3.23%', '-3.32%', '-1.33%', '-0.41%', '-1.03%', '-5.65%']..., số giá trị độc nhất: 7
W8_2014:
['+0.21%', '+0.99%', '-0.25%', '+3.96%', '-0.31%', '-0.02%', '-0.51%']..., số giá trị độc nhất: 7
W8_2016:
['+5.50%', '+2.71%', '+0.00%', '+6.63%', '+2.50%', '+1.82%', '+0.44%']..., số giá trị độc nhất: 7
W8_2017:
['+1.95%', '-0.39%', '-1.39%', '+1.86%', '-0.78%', '+2.52%', '-2.28%']..., số giá trị độc nhất: 7
W8_2018:
['+0.11%', '-0.26%', '+1.13%', '+0.53%', '+3.41%', '+3.66%', '+6.23%']..., số giá trị độc nhất: 7
W8_2019:
['+1.45%', '+0.97%', '+1.54%', '-0.59%', '+1.24%', '+3.27%', '+2.12%']..., số giá trị độc nhất: 7
W8_2020:
['+0.65%', '-0.60%', '+2.11%', '-0.08%', '+0.24%', '-0.02%', '-0.50%']..., số giá trị độc nhất: 7
W8_2021:
['+3.05%', '+3.37%', '+7.19%', '+8.78%', '+5.47%', '+4.05%', '+5.34%']..., số giá trị độc nhất: 7
W8_2022:
['+4.06%', '+4.96%', '+0.30%', '-3.84%', '+1.56%', '+3.54%', '-3.37%']..., số giá trị độc nhất: 7
W8_2023:
['-1.04%', '-0.38%', '-1.12%', '-1.70%', '-1.51%', '-1.30%', '-1.48%']..., số giá trị độc nhất: 7
W8_2024:
['+1.11%', '+0.41%', '+0.68%', '+1.42%', '-1.03%', '+1.56%', '+0.25%']..., số giá trị độc nhất: 7
W8_2025:
['+0.46%', '-1.27%', '+2.04%', '-0.03%', '+2.17%', '+0.65%', '+1.72%']..., số giá trị độc nhất: 7
W8_TRUNG BÌNH:
['+1.00%', '+0.76%', '+0.81%', '+1.68%', '+0.94%', '+1.41%', '+0.57%']..., số giá trị độc nhất: 7
W8_TRUNG VỊ:
['+0.56%', '+0.08%', '+0.49%', '+0.25%', '+0.74%', '+1.69%', '-0.12%']..., số giá trị độc nhất: 7
W9_2010:
['-0.77%', '-0.59%', '-3.68%', '-3.59%', '-0.29%', '-0.78%', '+3.70%']..., số giá trị độc nhất: 7
W9_2011:
['-2.39%', '-4.64%', '-5.24%', '-3.66%', '-5.01%', '-6.25%', '-8.75%']..., số giá trị độc nhất: 7
W9_2012:
['-0.21%', '+4.06%', '+3.64%', '-0.78%', '+2.24%', '+6.64%', '+7.18%']..., số giá trị độc nhất: 7
W9_2013:
['-0.59%', '-0.76%', '-1.36%', '-5.12%', '-1.46%', '+0.15%', '-0.71%']..., số giá trị độc nhất: 7
W9_2014:
['-1.02%', '+4.73%', '+2.44%', '+4.06%', '+1.54%', '+3.72%', '+4.26%']..., số giá trị độc nhất: 7
W9_2015:
['-1.10%', '+1.55%', '-1.40%', '-1.68%', '+1.30%', '+1.52%', '+3.54%']..., số giá trị độc nhất: 7
W9_2016:
['+6.21%', '+0.33%', '-0.05%', '-0.13%', '-1.36%', '+1.44%', '+4.99%']..., số giá trị độc nhất: 7
W9_2017:
['-1.79%', '+3.72%', '+0.19%', '-5.24%', '+0.63%', '-1.29%', '+0.37%']..., số giá trị độc nhất: 7
W9_2018:
['-1.68%', '+4.91%', '+2.12%', '+15.04%', '+1.58%', '-1.18%', '+2.15%']..., số giá trị độc nhất: 7
W9_2019:
['+7.47%', '+0.22%', '+0.73%', '-1.94%', '+0.36%', '-1.58%', '-1.28%']..., số giá trị độc nhất: 7
W9_2020:
['-2.40%', '-7.67%', '-0.21%', '-4.21%', '-2.47%', '-5.02%', '-4.76%']..., số giá trị độc nhất: 7
W9_2021:
['-0.52%', '+4.19%', '+3.27%', '+4.39%', '+1.25%', '-2.36%', '-0.24%']..., số giá trị độc nhất: 7
W9_2022:
['+3.89%', '-0.16%', '+0.83%', '+7.49%', '+3.35%', '-0.94%', '+0.32%']..., số giá trị độc nhất: 7
W9_2023:
['+0.20%', '+0.01%', '-1.17%', '+0.18%', '-2.29%', '-2.41%', '-0.98%']..., số giá trị độc nhất: 7
W9_2024:
['+0.96%', '+3.16%', '+6.04%', '+5.29%', '+3.80%', '+3.79%', '+3.98%']..., số giá trị độc nhất: 7
W9_2025:
['+0.53%', '-1.21%', '+1.24%', '+1.96%', '+1.14%', '-0.04%', '+0.14%']..., số giá trị độc nhất: 7
W9_TRUNG BÌNH:
['+0.42%', '+0.74%', '+0.46%', '+0.75%', '+0.27%', '-0.29%', '+0.87%']..., số giá trị độc nhất: 7
W9_TRUNG VỊ:
['-0.55%', '+0.27%', '+0.46%', '-0.46%', '+0.89%', '-0.86%', '+0.35%']..., số giá trị độc nhất: 7
Các bản ghi bị trùng:
Industry Type of Value M10_2010 M10_2011 M10_2012 M10_2013 M10_2014 M10_2015 M10_2016 M10_2017 M10_2018 M10_2019 M10_2020 M10_2021 M10_2022 M10_2023 M10_2024 M10_TRUNG BÌNH M10_TRUNG VỊ M11_2010 M11_2011 M11_2012 M11_2013 M11_2014 M11_2015 M11_2016 M11_2017 M11_2018 M11_2019 M11_2020 M11_2021 M11_2022 M11_2023 M11_2024 M11_TRUNG BÌNH M11_TRUNG VỊ M12_2010 M12_2011 M12_2012 M12_2013 M12_2014 M12_2015 M12_2016 M12_2017 M12_2018 M12_2019 M12_2020 M12_2021 M12_2022 M12_2023 M12_2024 M12_TRUNG BÌNH M12_TRUNG VỊ M1_2010 M1_2011 M1_2012 M1_2013 M1_2014 M1_2015 M1_2016 M1_2017 M1_2018 M1_2019 M1_2020 M1_2021 M1_2022 M1_2023 M1_2024 M1_2025 M1_TRUNG BÌNH M1_TRUNG VỊ M2_2010 M2_2011 M2_2012 M2_2013 M2_2014 M2_2015 M2_2016 M2_2017 M2_2018 M2_2019 M2_2020 M2_2021 M2_2022 M2_2023 M2_2024 M2_2025 M2_TRUNG BÌNH M2_TRUNG VỊ M3_2010 M3_2011 M3_2012 M3_2013 M3_2014 M3_2015 M3_2016 M3_2017 M3_2018 M3_2019 M3_2020 M3_2021 M3_2022 M3_2023 M3_2024 M3_2025 M3_TRUNG BÌNH M3_TRUNG VỊ M4_2010 M4_2011 M4_2012 M4_2013 M4_2014 M4_2015 M4_2016 M4_2017 M4_2018 M4_2019 M4_2020 M4_2021 M4_2022 M4_2023 M4_2024 M4_TRUNG BÌNH M4_TRUNG VỊ M5_2010 M5_2011 M5_2012 M5_2013 M5_2014 M5_2015 M5_2016 M5_2017 M5_2018 M5_2019 M5_2020 M5_2021 M5_2022 M5_2023 M5_2024 M5_TRUNG BÌNH M5_TRUNG VỊ M6_2010 M6_2011 M6_2012 M6_2013 M6_2014 M6_2015 M6_2016 M6_2017 M6_2018 M6_2019 M6_2020 M6_2021 M6_2022 M6_2023 M6_2024 M6_TRUNG BÌNH M6_TRUNG VỊ M7_2010 M7_2011 M7_2012 M7_2013 M7_2014 M7_2015 M7_2016 M7_2017 M7_2018 M7_2019 M7_2020 M7_2021 M7_2022 M7_2023 M7_2024 M7_TRUNG BÌNH M7_TRUNG VỊ M8_2010 M8_2011 M8_2012 M8_2013 M8_2014 M8_2015 M8_2016 M8_2017 M8_2018 M8_2019 M8_2020 M8_2021 M8_2022 M8_2023 M8_2024 M8_TRUNG BÌNH M8_TRUNG VỊ M9_2010 M9_2011 M9_2012 M9_2013 M9_2014 M9_2015 M9_2016 M9_2017 M9_2018 M9_2019 M9_2020 M9_2021 M9_2022 M9_2023 M9_2024 M9_TRUNG BÌNH M9_TRUNG VỊ Q1_2010 Q1_2011 Q1_2012 Q1_2013 Q1_2014 Q1_2015 Q1_2016 Q1_2017 Q1_2018 Q1_2019 Q1_2020 Q1_2021 Q1_2022 Q1_2023 Q1_2024 Q1_2025 Q1_TRUNG BÌNH Q1_TRUNG VỊ Q2_2010 Q2_2011 Q2_2012 Q2_2013 Q2_2014 Q2_2015 Q2_2016 Q2_2017 Q2_2018 Q2_2019 Q2_2020 Q2_2021 Q2_2022 Q2_2023 Q2_2024 Q2_TRUNG BÌNH Q2_TRUNG VỊ Q3_2010 Q3_2011 Q3_2012 Q3_2013 Q3_2014 Q3_2015 Q3_2016 Q3_2017 Q3_2018 Q3_2019 Q3_2020 Q3_2021 Q3_2022 Q3_2023 Q3_2024 Q3_TRUNG BÌNH Q3_TRUNG VỊ Q4_2010 Q4_2011 Q4_2012 Q4_2013 Q4_2014 Q4_2015 Q4_2016 Q4_2017 Q4_2018 Q4_2019 Q4_2020 Q4_2021 Q4_2022 Q4_2023 Q4_2024 Q4_TRUNG BÌNH Q4_TRUNG VỊ W10_2010 W10_2011 W10_2012 W10_2013 W10_2014 W10_2015 W10_2016 W10_2017 W10_2018 W10_2019 W10_2020 W10_2021 W10_2022 W10_2023 W10_2024 W10_2025 W10_TRUNG BÌNH W10_TRUNG VỊ W11_2010 W11_2011 W11_2012 W11_2013 W11_2014 W11_2015 W11_2016 W11_2017 W11_2018 W11_2019 W11_2020 W11_2021 W11_2022 W11_2023 W11_2024 W11_2025 W11_TRUNG BÌNH W11_TRUNG VỊ W12_2010 W12_2011 W12_2012 W12_2013 W12_2014 W12_2015 W12_2016 W12_2017 W12_2018 W12_2019 W12_2020 W12_2021 W12_2022 W12_2023 W12_2024 W12_TRUNG BÌNH W12_TRUNG VỊ W13_2010 W13_2011 W13_2012 W13_2013 W13_2014 W13_2015 W13_2016 W13_2017 W13_2018 W13_2019 W13_2020 W13_2021 W13_2022 W13_2023 W13_2024 W13_TRUNG BÌNH W13_TRUNG VỊ W14_2010 W14_2011 W14_2012 W14_2013 W14_2014 W14_2015 W14_2016 W14_2017 W14_2018 W14_2019 W14_2020 W14_2021 W14_2022 W14_2023 W14_2024 W14_TRUNG BÌNH W14_TRUNG VỊ W15_2010 W15_2011 W15_2012 W15_2013 W15_2014 W15_2015 W15_2016 W15_2017 W15_2018 W15_2019 W15_2020 W15_2021 W15_2022 W15_2023 W15_2024 W15_TRUNG BÌNH W15_TRUNG VỊ W16_2010 W16_2011 W16_2012 W16_2013 W16_2014 W16_2015 W16_2016 W16_2017 W16_2018 W16_2019 W16_2020 W16_2021 W16_2022 W16_2023 W16_2024 W16_TRUNG BÌNH W16_TRUNG VỊ W17_2010 W17_2011 W17_2012 W17_2013 W17_2014 W17_2015 W17_2016 W17_2017 W17_2018 W17_2019 W17_2020 W17_2021 W17_2022 W17_2023 W17_2024 W17_TRUNG BÌNH W17_TRUNG VỊ W18_2010 W18_2011 W18_2012 W18_2013 W18_2014 W18_2015 W18_2016 W18_2017 W18_2018 W18_2019 W18_2020 W18_2021 W18_2022 W18_2023 W18_2024 W18_TRUNG BÌNH W18_TRUNG VỊ W19_2010 W19_2011 W19_2012 W19_2013 W19_2014 W19_2015 W19_2016 W19_2017 W19_2018 W19_2019 W19_2020 W19_2021 W19_2022 W19_2023 W19_2024 W19_TRUNG BÌNH W19_TRUNG VỊ W1_2012 W1_2013 W1_2014 W1_2017 W1_2018 W1_2019 W1_2020 W1_2023 W1_2024 W1_2025 W1_TRUNG BÌNH W1_TRUNG VỊ W20_2010 W20_2011 W20_2012 W20_2013 W20_2014 W20_2015 W20_2016 W20_2017 W20_2018 W20_2019 W20_2020 W20_2021 W20_2022 W20_2023 W20_2024 W20_TRUNG BÌNH W20_TRUNG VỊ W21_2010 W21_2011 W21_2012 W21_2013 W21_2014 W21_2015 W21_2016 W21_2017 W21_2018 W21_2019 W21_2020 W21_2021 W21_2022 W21_2023 W21_2024 W21_TRUNG BÌNH W21_TRUNG VỊ W22_2010 W22_2011 W22_2012 W22_2013 W22_2014 W22_2015 W22_2016 W22_2017 W22_2018 W22_2019 W22_2020 W22_2021 W22_2022 W22_2023 W22_2024 W22_TRUNG BÌNH W22_TRUNG VỊ W23_2010 W23_2011 W23_2012 W23_2013 W23_2014 W23_2015 W23_2016 W23_2017 W23_2018 W23_2019 W23_2020 W23_2021 W23_2022 W23_2023 W23_2024 W23_TRUNG BÌNH W23_TRUNG VỊ W24_2010 W24_2011 W24_2012 W24_2013 W24_2014 W24_2015 W24_2016 W24_2017 W24_2018 W24_2019 W24_2020 W24_2021 W24_2022 W24_2023 W24_2024 W24_TRUNG BÌNH W24_TRUNG VỊ W25_2010 W25_2011 W25_2012 W25_2013 W25_2014 W25_2015 W25_2016 W25_2017 W25_2018 W25_2019 W25_2020 W25_2021 W25_2022 W25_2023 W25_2024 W25_TRUNG BÌNH W25_TRUNG VỊ W26_2010 W26_2011 W26_2012 W26_2013 W26_2014 W26_2015 W26_2016 W26_2017 W26_2018 W26_2019 W26_2020 W26_2021 W26_2022 W26_2023 W26_2024 W26_TRUNG BÌNH W26_TRUNG VỊ W27_2010 W27_2011 W27_2012 W27_2013 W27_2014 W27_2015 W27_2016 W27_2017 W27_2018 W27_2019 W27_2020 W27_2021 W27_2022 W27_2023 W27_2024 W27_TRUNG BÌNH W27_TRUNG VỊ W28_2010 W28_2011 W28_2012 W28_2013 W28_2014 W28_2015 W28_2016 W28_2017 W28_2018 W28_2019 W28_2020 W28_2021 W28_2022 W28_2023 W28_2024 W28_TRUNG BÌNH W28_TRUNG VỊ W29_2010 W29_2011 W29_2012 W29_2013 W29_2014 W29_2015 W29_2016 W29_2017 W29_2018 W29_2019 W29_2020 W29_2021 W29_2022 W29_2023 W29_2024 W29_TRUNG BÌNH W29_TRUNG VỊ W2_2010 W2_2011 W2_2012 W2_2013 W2_2014 W2_2015 W2_2016 W2_2017 W2_2018 W2_2019 W2_2020 W2_2021 W2_2022 W2_2023 W2_2024 W2_2025 W2_TRUNG BÌNH W2_TRUNG VỊ W30_2010 W30_2011 W30_2012 W30_2013 W30_2014 W30_2015 W30_2016 W30_2017 W30_2018 W30_2019 W30_2020 W30_2021 W30_2022 W30_2023 W30_2024 W30_TRUNG BÌNH W30_TRUNG VỊ W31_2010 W31_2011 W31_2012 W31_2013 W31_2014 W31_2015 W31_2016 W31_2017 W31_2018 W31_2019 W31_2020 W31_2021 W31_2022 W31_2023 W31_2024 W31_TRUNG BÌNH W31_TRUNG VỊ W32_2010 W32_2011 W32_2012 W32_2013 W32_2014 W32_2015 W32_2016 W32_2017 W32_2018 W32_2019 W32_2020 W32_2021 W32_2022 W32_2023 W32_2024 W32_TRUNG BÌNH W32_TRUNG VỊ W33_2010 W33_2011 W33_2012 W33_2013 W33_2014 W33_2015 W33_2016 W33_2017 W33_2018 W33_2019 W33_2020 W33_2021 W33_2022 W33_2023 W33_2024 W33_TRUNG BÌNH W33_TRUNG VỊ W34_2010 W34_2011 W34_2012 W34_2013 W34_2014 W34_2015 W34_2016 W34_2017 W34_2018 W34_2019 W34_2020 W34_2021 W34_2022 W34_2023 W34_2024 W34_TRUNG BÌNH W34_TRUNG VỊ W35_2010 W35_2011 W35_2012 W35_2013 W35_2014 W35_2015 W35_2016 W35_2017 W35_2018 W35_2019 W35_2020 W35_2021 W35_2022 W35_2023 W35_2024 W35_TRUNG BÌNH W35_TRUNG VỊ W36_2010 W36_2011 W36_2012 W36_2013 W36_2014 W36_2015 W36_2016 W36_2017 W36_2018 W36_2019 W36_2020 W36_2021 W36_2022 W36_2023 W36_2024 W36_TRUNG BÌNH W36_TRUNG VỊ W37_2010 W37_2011 W37_2012 W37_2013 W37_2014 W37_2015 W37_2016 W37_2017 W37_2018 W37_2019 W37_2020 W37_2021 W37_2022 W37_2023 W37_2024 W37_TRUNG BÌNH W37_TRUNG VỊ W38_2010 W38_2011 W38_2012 W38_2013 W38_2014 W38_2015 W38_2016 W38_2017 W38_2018 W38_2019 W38_2020 W38_2021 W38_2022 W38_2023 W38_2024 W38_TRUNG BÌNH W38_TRUNG VỊ W39_2010 W39_2011 W39_2012 W39_2013 W39_2014 W39_2015 W39_2016 W39_2017 W39_2018 W39_2019 W39_2020 W39_2021 W39_2022 W39_2023 W39_2024 W39_TRUNG BÌNH W39_TRUNG VỊ W3_2010 W3_2011 W3_2012 W3_2013 W3_2014 W3_2015 W3_2016 W3_2017 W3_2018 W3_2019 W3_2020 W3_2021 W3_2022 W3_2023 W3_2024 W3_2025 W3_TRUNG BÌNH W3_TRUNG VỊ W40_2010 W40_2011 W40_2012 W40_2013 W40_2014 W40_2015 W40_2016 W40_2017 W40_2018 W40_2019 W40_2020 W40_2021 W40_2022 W40_2023 W40_2024 W40_TRUNG BÌNH W40_TRUNG VỊ W41_2010 W41_2011 W41_2012 W41_2013 W41_2014 W41_2015 W41_2016 W41_2017 W41_2018 W41_2019 W41_2020 W41_2021 W41_2022 W41_2023 W41_2024 W41_TRUNG BÌNH W41_TRUNG VỊ W42_2010 W42_2011 W42_2012 W42_2013 W42_2014 W42_2015 W42_2016 W42_2017 W42_2018 W42_2019 W42_2020 W42_2021 W42_2022 W42_2023 W42_2024 W42_TRUNG BÌNH W42_TRUNG VỊ W43_2010 W43_2011 W43_2012 W43_2013 W43_2014 W43_2015 W43_2016 W43_2017 W43_2018 W43_2019 W43_2020 W43_2021 W43_2022 W43_2023 W43_2024 W43_TRUNG BÌNH W43_TRUNG VỊ W44_2010 W44_2011 W44_2012 W44_2013 W44_2014 W44_2015 W44_2016 W44_2017 W44_2018 W44_2019 W44_2020 W44_2021 W44_2022 W44_2023 W44_2024 W44_TRUNG BÌNH W44_TRUNG VỊ W45_2010 W45_2011 W45_2012 W45_2013 W45_2014 W45_2015 W45_2016 W45_2017 W45_2018 W45_2019 W45_2020 W45_2021 W45_2022 W45_2023 W45_2024 W45_TRUNG BÌNH W45_TRUNG VỊ W46_2010 W46_2011 W46_2012 W46_2013 W46_2014 W46_2015 W46_2016 W46_2017 W46_2018 W46_2019 W46_2020 W46_2021 W46_2022 W46_2023 W46_2024 W46_TRUNG BÌNH W46_TRUNG VỊ W47_2010 W47_2011 W47_2012 W47_2013 W47_2014 W47_2015 W47_2016 W47_2017 W47_2018 W47_2019 W47_2020 W47_2021 W47_2022 W47_2023 W47_2024 W47_TRUNG BÌNH W47_TRUNG VỊ W48_2010 W48_2011 W48_2012 W48_2013 W48_2014 W48_2015 W48_2016 W48_2017 W48_2018 W48_2019 W48_2020 W48_2021 W48_2022 W48_2023 W48_2024 W48_TRUNG BÌNH W48_TRUNG VỊ W49_2010 W49_2011 W49_2012 W49_2013 W49_2014 W49_2015 W49_2016 W49_2017 W49_2018 W49_2019 W49_2020 W49_2021 W49_2022 W49_2023 W49_2024 W49_TRUNG BÌNH W49_TRUNG VỊ W4_2010 W4_2011 W4_2013 W4_2014 W4_2015 W4_2016 W4_2017 W4_2018 W4_2019 W4_2020 W4_2021 W4_2022 W4_2023 W4_2024 W4_2025 W4_TRUNG BÌNH W4_TRUNG VỊ W50_2010 W50_2011 W50_2012 W50_2013 W50_2014 W50_2015 W50_2016 W50_2017 W50_2018 W50_2019 W50_2020 W50_2021 W50_2022 W50_2023 W50_2024 W50_TRUNG BÌNH W50_TRUNG VỊ W51_2010 W51_2011 W51_2012 W51_2013 W51_2014 W51_2015 W51_2016 W51_2017 W51_2018 W51_2019 W51_2020 W51_2021 W51_2022 W51_2023 W51_2024 W51_TRUNG BÌNH W51_TRUNG VỊ W52_2010 W52_2011 W52_2012 W52_2013 W52_2014 W52_2015 W52_2016 W52_2017 W52_2018 W52_2019 W52_2020 W52_2021 W52_2022 W52_2023 W52_2024 W52_TRUNG BÌNH W52_TRUNG VỊ W53_2010 W53_2011 W53_2013 W53_2014 W53_2015 W53_2016 W53_2019 W53_2020 W53_2021 W53_2022 W53_2024 W53_TRUNG BÌNH W53_TRUNG VỊ W5_2010 W5_2011 W5_2012 W5_2013 W5_2014 W5_2015 W5_2016 W5_2017 W5_2018 W5_2019 W5_2020 W5_2021 W5_2022 W5_2023 W5_2024 W5_TRUNG BÌNH W5_TRUNG VỊ W6_2010 W6_2012 W6_2013 W6_2014 W6_2015 W6_2016 W6_2017 W6_2018 W6_2020 W6_2021 W6_2023 W6_2024 W6_2025 W6_TRUNG BÌNH W6_TRUNG VỊ W7_2010 W7_2011 W7_2012 W7_2014 W7_2015 W7_2017 W7_2018 W7_2019 W7_2020 W7_2021 W7_2022 W7_2023 W7_2024 W7_2025 W7_TRUNG BÌNH W7_TRUNG VỊ W8_2011 W8_2012 W8_2013 W8_2014 W8_2016 W8_2017 W8_2018 W8_2019 W8_2020 W8_2021 W8_2022 W8_2023 W8_2024 W8_2025 W8_TRUNG BÌNH W8_TRUNG VỊ W9_2010 W9_2011 W9_2012 W9_2013 W9_2014 W9_2015 W9_2016 W9_2017 W9_2018 W9_2019 W9_2020 W9_2021 W9_2022 W9_2023 W9_2024 W9_2025 W9_TRUNG BÌNH W9_TRUNG VỊ 
Accessing file: financialreport_balancesheet_FPT_CMG_processed.csv
financialreport_balancesheet_FPT_CMG_processed.csv
Indicator StockID 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 Y_2023 Y_2024
0 - Cổ phiếu phổ thông có quyền biểu quyết\n411a CMG 1,505,960,320,000 1,904,392,960,000 1,900,269,960,000 1,903,974,960,000 1,505,960,320,000 1,904,392,960,000 1,505,960,320,000 1,904,392,960,000 1,900,269,960,000 1,903,974,960,000 1,900,269,960,000 NaN 1,900,269,960,000 NaN
1 - Cổ phiếu phổ thông có quyền biểu quyết\n411a FPT 11,043,316,220,000 14,604,480,660,000 12,699,688,750,000 14,604,480,660,000 10,970,265,720,000 12,699,688,750,000 11,043,316,220,000 14,604,480,660,000 12,699,688,750,000 14,604,480,660,000 12,699,688,750,000 14,710,691,830,000 12,699,688,750,000 14,710,691,830,000
2 - Giá trị hao mòn lũy kế\n223 CMG -1,577,566,941,383 -1,886,773,746,201 -1,655,226,032,606 -1,972,024,039,112 -1,513,783,100,366 -1,810,449,040,895 -1,577,558,303,535 -1,895,977,157,084 -1,655,226,032,606 -1,972,024,039,112 -1,734,759,159,367 NaN -1,732,114,441,724 NaN
3 - Giá trị hao mòn lũy kế\n223 FPT -9,109,849,933,394 -10,798,956,932,818 -9,539,916,194,703 -11,261,187,491,234 -8,728,063,268,763 -10,351,316,034,547 -9,139,679,844,094 -10,798,956,932,818 -9,539,916,194,703 -11,261,187,491,234 -9,906,952,653,021 -11,683,165,704,793 -9,906,845,402,941 -11,683,165,704,793
4 - Giá trị hao mòn lũy kế\n226 FPT -3,878,313,753 -4,386,536,239 -3,587,478,607 -3,607,403,617 -24,915,388,622 -4,197,599,404 -29,013,930,078 -4,386,536,239 -3,587,478,607 -3,607,403,617 -4,013,832,181 -3,673,326,424 -4,013,832,181 -3,673,326,424
Indicator StockID 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 Y_2023 Y_2024
267 V. Đầu tư tài chính dài hạn\n250 FPT 3,045,169,826,409 3,095,902,850,581 3,223,296,628,954 3,214,141,461,080 3,257,209,895,051 3,415,559,155,234 3,045,169,826,409 3,095,902,850,581 3,223,296,628,954 3,214,141,461,080 3,367,402,312,269 3,319,014,817,651 3,335,009,108,332 3,319,014,817,651
268 VI. Tài sản dài hạn khác\n260 CMG 369,422,524,359 416,411,284,601 386,830,452,415 422,677,746,724 372,896,263,050 460,529,530,005 364,961,956,402 416,436,745,932 386,830,452,415 422,677,746,724 385,154,433,015 NaN 387,572,521,163 NaN
269 VI. Tài sản dài hạn khác\n260 FPT 4,501,685,335,332 5,386,582,674,862 4,529,333,425,055 5,501,511,121,171 4,512,159,868,725 5,366,724,357,153 4,501,685,335,332 5,241,548,882,861 4,529,333,425,055 5,501,511,121,171 5,042,420,397,778 5,485,644,852,548 5,036,171,784,305 5,485,644,852,548
270 Ảnh hưởng của thay đổi tỷ giá hối đoái quy đổi... CMG 6,917,750,878 3,830,389,450 -1,349,633,181 NaN -1,736,442,213 NaN NaN NaN NaN NaN NaN NaN 5,837,565,104 NaN
271 Ảnh hưởng của thay đổi tỷ giá hối đoái quy đổi... FPT -34,262,027,675 -38,739,785,946 -9,393,913,465 -75,687,079,284 3,163,289,455 -37,407,398,624 NaN NaN NaN NaN NaN NaN 38,641,914,900 -7,911,910,087 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 272 entries, 0 to 271
Data columns (total 16 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  272 non-null    object
 1   StockID    272 non-null    object
 2   6M_2023    262 non-null    object
 3   6M_2024    258 non-null    object
 4   9M_2023    262 non-null    object
 5   9M_2024    259 non-null    object
 6   Q1_2023    256 non-null    object
 7   Q1_2024    255 non-null    object
 8   Q2_2023    201 non-null    object
 9   Q2_2024    197 non-null    object
 10  Q3_2023    196 non-null    object
 11  Q3_2024    198 non-null    object
 12  Q4_2023    194 non-null    object
 13  Q4_2024    106 non-null    object
 14  Y_2023     260 non-null    object
 15  Y_2024     139 non-null    object
dtypes: object(16)
memory usage: 34.1+ KB
None
Số giá trị bị rỗng:
Indicator      0
StockID        0
6M_2023       10
6M_2024       14
9M_2023       10
9M_2024       13
Q1_2023       16
Q1_2024       17
Q2_2023       71
Q2_2024       75
Q3_2023       76
Q3_2024       74
Q4_2023       78
Q4_2024      166
Y_2023        12
Y_2024       133
dtype: int64
Thống kê các giá trị:
Indicator StockID 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 Y_2023 Y_2024
count 272 272 262 258 262 259 256 255 201 197 196 198 194 106 260 139
unique 148 2 240 235 243 240 236 234 188 183 184 185 181 100 241 130
top - Cổ phiếu phổ thông có quyền biểu quyết\n411a FPT 1,505,960,320,000 1,904,392,960,000 1,900,269,960,000 1,903,974,960,000 1,505,960,320,000 1,904,392,960,000 1,505,960,320,000 1,904,392,960,000 1,900,269,960,000 1,903,974,960,000 1,900,269,960,000 14,710,691,830,000 1,900,269,960,000 14,710,691,830,000
freq 2 139 2 2 2 2 2 2 2 2 2 2 2 2 2 2 
Indicator    148
StockID        2
6M_2023      240
6M_2024      235
9M_2023      243
9M_2024      240
Q1_2023      236
Q1_2024      234
Q2_2023      188
Q2_2024      183
Q3_2023      184
Q3_2024      185
Q4_2023      181
Q4_2024      100
Y_2023       241
Y_2024       130
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['- Cổ phiếu phổ thông có quyền biểu quyết\n411a', '- Giá trị hao mòn lũy kế\n223', '- Giá trị hao mòn lũy kế\n226', '- Giá trị hao mòn lũy kế\n229', '- LNST chưa phân phối kỳ này\n421b', '- LNST chưa phân phối lũy kế đến cuối kỳ trước\n421a', '- Nguyên giá\n222', '- Nguyên giá\n225', '- Nguyên giá\n228', '1. Chi phí sản xuất, kinh doanh dở dang dài hạn\n241', '1. Chi phí trả trước dài hạn\n261', '1. Chi phí trả trước ngắn hạn\n151', '1. Doanh thu bán hàng và cung cấp dịch vụ\n01', '1. Hàng tồn kho\n141', '1. Lợi nhuận trước thuế\n01', '1. Nguồn kinh phí\n431', '1. Phải thu ngắn hạn của khách hàng\n131', '1. Phải trả người bán dài hạn\n331', '1. Phải trả người bán ngắn hạn\n311', '1. Tiền\n111']..., số giá trị độc nhất: 148
StockID:
['CMG', 'FPT']..., số giá trị độc nhất: 2
6M_2023:
['1,505,960,320,000', '11,043,316,220,000', '-1,577,566,941,383', '-9,109,849,933,394', '-3,878,313,753', '-204,562,879,852', '-1,379,348,674,009', '140,899,843,606', '3,002,470,167,474', '255,425,341,214', '7,663,648,414,514', '3,424,810,835,918', '20,142,862,455,487', '6,789,629,164', '646,765,868,230', '2,575,691,863,740', '380,000,000', '368,848,092,453', '3,492,345,731,610', '67,804,075,973']..., số giá trị độc nhất: 241
6M_2024:
['1,904,392,960,000', '14,604,480,660,000', '-1,886,773,746,201', '-10,798,956,932,818', '-4,386,536,239', '-256,563,057,357', '-1,483,842,892,877', '142,100,659,170', '3,673,189,632,065', '289,006,849,356', '5,504,840,283,364', '3,768,509,887,947', '23,459,020,096,615', '7,511,499,920', '670,167,022,341', '2,998,230,953,161', '190,000,000', '416,047,263,082', '3,317,231,255,111', '64,240,178,413']..., số giá trị độc nhất: 236
9M_2023:
['1,900,269,960,000', '12,699,688,750,000', '-1,655,226,032,606', '-9,539,916,194,703', '-3,587,478,607', '-214,891,405,482', '-1,287,665,448,765', '270,978,139,867', '3,198,658,610,039', '31,944,531,767', '5,190,116,969,064', '3,476,060,718,853', '21,616,988,146,434', '6,251,200,148', '648,309,037,819', '2,469,668,694,327', '380,000,000', '386,324,012,671', '3,426,793,863,558', '77,417,086,042']..., số giá trị độc nhất: 244
9M_2024:
['1,903,974,960,000', '14,604,480,660,000', '-1,972,024,039,112', '-11,261,187,491,234', '-3,607,403,617', '-263,350,749,129', '-1,532,604,715,427', '259,675,950,594', '5,762,017,834,569', '292,901,309,205', '5,501,785,086,737', '3,803,992,688,170', '24,158,069,038,149', '5,990,257,244', '670,930,004,942', '3,072,611,297,376', '190,000,000', '422,320,306,028', '3,447,179,472,476', '67,246,844,788']..., số giá trị độc nhất: 241
Q1_2023:
['1,505,960,320,000', '10,970,265,720,000', '-1,513,783,100,366', '-8,728,063,268,763', '-24,915,388,622', '-196,463,253,726', '-1,320,839,287,871', '83,917,553,520', '1,493,562,580,890', '258,876,584,368', '7,713,564,820,193', '3,397,406,635,298', '19,440,703,827,238', '54,177,548,964', '644,687,802,133', '2,562,391,924,094', '240,000,000', '372,350,235,437', '3,516,501,185,403', '106,709,818,269']..., số giá trị độc nhất: 237
Q1_2024:
['1,904,392,960,000', '12,699,688,750,000', '-1,810,449,040,895', '-10,351,316,034,547', '-4,197,599,404', '-243,103,488,657', '-1,414,107,431,170', '83,226,280,864', '1,798,066,420,421', '332,449,754,566', '8,680,772,347,026', '3,666,625,675,665', '22,649,092,684,044', '7,739,446,936', '679,384,808,583', '2,927,026,185,822', '380,000,000', '460,107,825,008', '3,291,841,329,838', '77,885,526,690']..., số giá trị độc nhất: 235
Q2_2023:
['1,505,960,320,000', '11,043,316,220,000', '-1,577,558,303,535', '-9,139,679,844,094', '-29,013,930,078', '-204,542,163,412', '-1,379,348,674,009', '151,868,076,684', '3,002,470,167,474', '245,670,344,754', '7,663,648,414,514', '3,424,797,470,651', '20,182,919,608,999', '54,020,199,664', '646,737,247,660', '2,575,691,863,740', '380,000,000', '364,372,878,708', '3,492,345,731,610', '87,005,808,974']..., số giá trị độc nhất: 189
Q2_2024:
['1,904,392,960,000', '14,604,480,660,000', '-1,895,977,157,084', '-10,798,956,932,818', '-4,386,536,239', '-247,481,194,242', '-1,495,486,413,009', '144,277,169,350', '3,671,845,614,300', '285,845,847,678', '5,504,840,283,495', '3,769,303,130,720', '23,459,020,096,615', '7,511,499,920', '669,355,207,770', '3,202,705,299,281', '190,000,000', '416,047,173,085', '3,317,231,255,111', '78,920,148,898']..., số giá trị độc nhất: 184
Q3_2023:
['1,900,269,960,000', '12,699,688,750,000', '-1,655,226,032,606', '-9,539,916,194,703', '-3,587,478,607', '-214,891,405,482', '-1,287,665,448,765', '270,978,139,867', '3,198,658,610,039', '31,944,531,767', '5,190,116,969,064', '3,476,060,718,853', '21,616,988,146,434', '6,251,200,148', '648,309,037,819', '2,469,668,694,327', '380,000,000', '386,324,012,671', '3,426,793,863,558', '77,417,086,042']..., số giá trị độc nhất: 185
Q3_2024:
['1,903,974,960,000', '14,604,480,660,000', '-1,972,024,039,112', '-11,261,187,491,234', '-3,607,403,617', '-263,350,749,129', '-1,532,604,715,427', '259,675,950,594', '5,762,017,834,569', '292,901,309,205', '5,501,785,086,737', '3,803,992,688,170', '24,158,069,038,149', '5,990,257,244', '670,930,004,942', '3,072,611,297,376', '190,000,000', '422,320,306,028', '3,447,179,472,476', '67,246,844,788']..., số giá trị độc nhất: 186
Q4_2023:
['1,900,269,960,000', '12,699,688,750,000', '-1,734,759,159,367', '-9,906,952,653,021', '-4,013,832,181', '-229,370,750,049', '-1,338,489,590,814', '309,456,353,679', '4,208,629,838,475', '32,130,126,999', '4,470,578,664,053', '3,657,375,881,828', '22,289,069,528,335', '8,032,465,332', '675,095,710,265', '2,595,586,732,247', '380,000,000', '384,700,595,867', '3,389,945,901,107', '78,696,784,920']..., số giá trị độc nhất: 182
Q4_2024:
[nan, '14,710,691,830,000', '-11,683,165,704,793', '-3,673,326,424', '-1,616,781,511,666', '5,565,337,234,255', '5,458,228,109,134', '24,483,220,850,419', '5,716,034,788', '3,656,302,027,788', '3,815,166,554,012', '453,590,735,414', '17,651,065,378,940', '1,969,267,986,149', '2,750,000,000', '10,537,019,113,380', '4,423,912,840,298', '6,725,619,929,289', '12,800,055,145,626', '1,735,410,040,472']..., số giá trị độc nhất: 101
Y_2023:
['1,900,269,960,000', '12,699,688,750,000', '-1,732,114,441,724', '-9,906,845,402,941', '-4,013,832,181', '-232,894,376,606', '-1,338,489,590,814', '330,675,518,402', '4,202,230,790,206', '11,434,141,375', '4,471,895,918,464', '3,656,771,335,756', '22,288,962,278,190', '8,032,465,332', '679,454,890,222', '2,595,586,732,247', '380,000,000', '387,118,684,015', '3,391,434,748,762', '60,697,320,316']..., số giá trị độc nhất: 242
Y_2024:
[nan, '14,710,691,830,000', '-11,683,165,704,793', '-3,673,326,424', '-1,616,781,511,666', '5,565,337,234,255', '5,458,228,109,134', '24,483,220,850,419', '5,716,034,788', '3,656,302,027,788', '3,815,166,554,012', '453,590,735,414', '62,962,652,134,636', '1,969,267,986,149', '11,070,838,730,842', '2,750,000,000', '10,537,019,113,380', '4,423,912,840,298', '6,725,619,929,289', '-4,260,829,170,057']..., số giá trị độc nhất: 131
Các bản ghi bị trùng:
Indicator StockID 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 Y_2023 Y_2024 
Accessing file: financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 1 A. TÀI SẢN NGẮN HẠN Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 43,898,750,649,879 50,012,611,294,247 46,163,463,501,028 49,212,018,271,364 47,447,926,241,197 51,559,913,663,516 37,054,341,402,710 44,460,289,151,475 46,313,090,001,355 48,727,600,349,745 47,447,926,241,197 51,559,913,663,516 44,600,507,708,345 49,985,725,505,833
1 2 I. Tiền và các khoản tương đương tiền Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 9,383,807,038,793 9,844,015,495,131 7,063,182,813,313 7,851,384,883,181 8,232,635,324,546 8,988,153,183,225 3,924,114,581,174 7,250,011,909,819 7,064,065,059,093 7,819,418,886,356 8,232,635,324,546 8,988,153,183,225 9,404,038,383,171 9,849,088,479,581
2 3 1. Tiền Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 6,869,844,202,589 7,127,498,540,298 4,778,764,094,918 6,473,480,898,695 5,776,560,869,076 6,150,989,048,730 3,632,359,533,044 6,166,533,179,985 4,778,620,748,908 6,473,452,066,134 5,776,560,869,076 6,150,989,048,730 6,870,026,966,601 7,134,634,362,586
3 4 2. Các khoản tương đương tiền Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 2,513,962,836,204 2,716,516,954,833 2,284,418,718,395 1,377,903,984,486 2,456,074,455,470 2,837,164,134,495 291,755,048,130 1,083,478,729,834 2,285,444,310,185 1,345,966,820,222 2,456,074,455,470 2,837,164,134,495 2,534,011,416,570 2,714,454,116,995
4 5 II. Đầu tư tài chính ngắn hạn Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 17,469,376,940,580 21,939,014,847,893 21,603,945,223,031 21,268,626,867,228 20,881,202,696,106 20,882,777,920,819 14,902,830,880,117 19,605,820,020,573 21,603,065,371,241 21,300,652,951,492 20,881,202,696,106 20,882,777,920,819 17,451,467,380,214 21,933,941,863,443
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
173 174 6. Cổ tức, lợi nhuận đã trả cho chủ sở... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, NaN NaN NaN NaN NaN NaN NaN NaN -224,448,189 NaN NaN NaN NaN NaN
174 175 Lưu chuyển tiền thuần từ hoạt động tài ... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, -12,342,834,039 -36,996,825,013 -9,729,482,741 -20,703,825,175 -8,831,040,923 -26,560,278,272 -48,011,062,915 -39,334,884,835 775,646,964 NaN NaN NaN NaN NaN
175 176 Lưu chuyển tiền thuần trong kỳ (50=20+30+40) Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, -1,100,934,837 -3,068,199,597 -689,331,479 -4,122,470,792 -557,480,943 453,115,434 -880,954,377 241,250,445 191,622,898 NaN NaN NaN NaN NaN
176 177 Tiền và tương đương tiền đầu kỳ Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 9,591,035,456 8,490,100,619 9,591,035,456 8,490,100,619 9,031,903,140 3,320,343,192 9,591,035,456 8,490,100,619 8,710,081,079 NaN NaN NaN NaN NaN
177 178 Tiền và tương đương tiền cuối kỳ (70 = 50... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 8,490,100,619 5,421,901,022 8,901,703,977 4,367,629,827 8,474,422,197 3,773,458,626 8,710,081,079 8,731,351,064 8,901,703,977 NaN NaN NaN NaN NaN 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 178 entries, 0 to 177
Data columns (total 18 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   No.        178 non-null    int64 
 1   Indicator  178 non-null    object
 2   Industry   178 non-null    object
 3   Stocks     178 non-null    object
 4   2023       167 non-null    object
 5   2024       163 non-null    object
 6   6M_2023    165 non-null    object
 7   6M_2024    169 non-null    object
 8   9M_2023    169 non-null    object
 9   9M_2024    168 non-null    object
 10  Q1_2023    161 non-null    object
 11  Q1_2024    166 non-null    object
 12  Q2_2023    132 non-null    object
 13  Q2_2024    114 non-null    object
 14  Q3_2023    117 non-null    object
 15  Q3_2024    114 non-null    object
 16  Q4_2023    115 non-null    object
 17  Q4_2024    112 non-null    object
dtypes: int64(1), object(17)
memory usage: 25.2+ KB
None
Số giá trị bị rỗng:
No.           0
Indicator     0
Industry      0
Stocks        0
2023         11
2024         15
6M_2023      13
6M_2024       9
9M_2023       9
9M_2024      10
Q1_2023      17
Q1_2024      12
Q2_2023      46
Q2_2024      64
Q3_2023      61
Q3_2024      64
Q4_2023      63
Q4_2024      66
dtype: int64
Thống kê các giá trị:
No.
count 178.00
mean 89.50
std 51.53
min 1.00
25% 45.25
50% 89.50
75% 133.75
max 178.00 
No.          178
Indicator    172
Industry       1
Stocks         1
2023         164
2024         159
6M_2023      161
6M_2024      165
9M_2023      165
9M_2024      165
Q1_2023      156
Q1_2024      162
Q2_2023      128
Q2_2024      111
Q3_2023      114
Q3_2024      111
Q4_2023      112
Q4_2024      108
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No.:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 178
Indicator:
['A. TÀI SẢN NGẮN HẠN', 'I. Tiền và các khoản tương đương tiền', '1. Tiền', '2. Các khoản tương đương tiền', 'II. Đầu tư tài chính ngắn hạn', '1. Chứng khoán kinh doanh', '2. Dự phòng giảm giá chứng khoán kinh doanh', '3. Đầu tư nắm giữ đến ngày đáo hạn', 'III. Các khoản phải thu ngắn hạn', '1. Phải thu ngắn hạn của khách hàng', '2. Trả trước cho người bán ngắn hạn', '4. Phải thu theo tiến độ kế hoạch hợp đồng xây dựng', '5. Phải thu về cho vay ngắn hạn', '6. Phải thu ngắn hạn khác', '7. Dự phòng phải thu ngắn hạn khó đòi', '8. Tài sản thiếu chờ xử lý', 'IV. Hàng tồn kho', '1. Hàng tồn kho', '2. Dự phòng giảm giá hàng tồn kho', 'V. Tài sản ngắn hạn khác']..., số giá trị độc nhất: 172
Industry:
['Công nghệ thông tin']..., số giá trị độc nhất: 1
Stocks:
['FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
2023:
['43,898,750,649,879', '9,383,807,038,793', '6,869,844,202,589', '2,513,962,836,204', '17,469,376,940,580', '2,276,387,863', '-1,359,582,863', '17,468,460,135,580', '13,438,881,966,311', '12,776,399,155,346', '674,229,297,888', '176,770,894,412', '1,143,658,091,174', '1,757,576,549,166', '-3,089,752,021,675', nan, '2,433,802,097,053', '2,692,307,365,150', '-258,505,268,097', '1,172,882,607,142']..., số giá trị độc nhất: 165
2024:
['50,012,611,294,247', '9,844,015,495,131', '7,127,498,540,298', '2,716,516,954,833', '21,939,014,847,893', '822,859,368', '-221,176,768', '21,938,413,165,293', '14,633,511,148,303', '12,787,833,064,968', '718,417,472,055', '136,097,256,629', '1,983,890,640,345', '1,559,303,213,073', '-2,552,030,498,767', nan, '2,420,841,959,375', '2,684,286,460,902', '-263,444,501,527', '1,175,227,843,545']..., số giá trị độc nhất: 160
6M_2023:
['46,163,463,501,028', '7,063,182,813,313', '4,778,764,094,918', '2,284,418,718,395', '21,603,945,223,031', '2,276,387,863', '-1,491,797,063', '21,603,160,632,231', '13,076,151,864,103', '11,484,018,114,912', '796,707,165,569', '227,380,785,100', '1,092,502,665,388', '1,746,106,471,165', '-2,270,595,738,131', '32,400,100', '3,236,163,471,522', '3,439,365,513,557', '-203,202,042,035', '1,184,020,129,059']..., số giá trị độc nhất: 162
6M_2024:
['49,212,018,271,364', '7,851,384,883,181', '6,473,480,898,695', '1,377,903,984,486', '21,268,626,867,228', '2,276,387,863', '-1,445,577,463', '21,267,796,056,828', '15,791,161,976,107', '13,970,912,984,544', '916,889,629,760', '196,821,565,607', '1,502,372,301,126', '1,859,638,346,668', '-2,655,472,851,598', nan, '2,957,862,829,064', '3,215,900,425,427', '-258,037,596,363', '1,342,981,715,784']..., số giá trị độc nhất: 166
9M_2023:
['47,447,926,241,197', '8,232,635,324,546', '5,776,560,869,076', '2,456,074,455,470', '20,881,202,696,106', '2,276,387,863', '-1,222,216,863', '20,880,148,525,106', '14,013,988,297,446', '12,488,396,479,996', '694,529,859,025', '229,678,782,310', '1,094,930,413,572', '1,877,769,672,364', '-2,371,349,309,921', '32,400,100', '2,983,886,238,143', '3,183,814,097,120', '-199,927,858,977', '1,336,213,684,956']..., số giá trị độc nhất: 166
9M_2024:
['51,559,913,663,516', '8,988,153,183,225', '6,150,989,048,730', '2,837,164,134,495', '20,882,777,920,819', '2,276,387,863', '-1,347,919,463', '20,881,849,452,419', '16,962,666,026,037', '14,496,337,709,792', '836,559,398,580', '194,158,152,911', '2,079,770,985,872', '1,819,732,838,768', '-2,463,893,059,886', nan, '3,272,121,810,546', '3,508,543,106,160', '-236,421,295,614', '1,454,194,722,889']..., số giá trị độc nhất: 166
Q1_2023:
['37,054,341,402,710', '3,924,114,581,174', '3,632,359,533,044', '291,755,048,130', '14,902,830,880,117', '2,276,387,863', '-1,512,704,863', '14,902,067,197,117', '13,793,360,252,899', '11,591,099,414,988', '901,245,877,689', '231,842,985,934', '1,401,793,389,227', '2,000,421,531,247', '-2,333,042,946,186', nan, '3,261,217,185,827', '3,467,783,367,963', '-206,566,182,136', '1,172,818,502,693']..., số giá trị độc nhất: 157
Q1_2024:
['44,460,289,151,475', '7,250,011,909,819', '6,166,533,179,985', '1,083,478,729,834', '19,605,820,020,573', '2,276,387,863', '-1,220,562,863', '19,604,764,195,573', '13,430,630,363,285', '12,732,113,325,258', '938,808,361,017', '190,429,912,043', '911,694,856,916', '1,787,624,256,552', '-3,130,040,348,501', nan, '2,791,252,766,351', '3,044,938,436,129', '-253,685,669,778', '1,382,574,091,447']..., số giá trị độc nhất: 163
Q2_2023:
['46,313,090,001,355', '7,064,065,059,093', '4,778,620,748,908', '2,285,444,310,185', '21,603,065,371,241', '2,276,387,863', '-1,346,057,063', '21,602,135,040,441', '13,222,826,710,300', '11,570,872,129,842', '821,432,886,429', '227,380,785,100', '1,080,345,026,222', '1,793,568,658,520', '-2,270,805,175,913', '32,400,100', '3,220,171,802,826', '3,423,373,844,861', '-203,202,042,035', '1,202,961,057,895']..., số giá trị độc nhất: 129
Q2_2024:
['48,727,600,349,745', '7,819,418,886,356', '6,473,452,066,134', '1,345,966,820,222', '21,300,652,951,492', '2,276,387,863', '-1,363,257,463', '21,299,739,821,092', '15,309,400,090,736', '13,985,339,286,886', '933,409,267,583', '196,821,565,607', '954,587,586,126', '1,862,679,232,305', '-2,623,436,847,771', nan, '2,953,305,273,685', '3,201,468,198,089', '-248,162,924,404', '1,344,823,147,476']..., số giá trị độc nhất: 112
Q3_2023:
['47,447,926,241,197', '8,232,635,324,546', '5,776,560,869,076', '2,456,074,455,470', '20,881,202,696,106', '2,276,387,863', '-1,222,216,863', '20,880,148,525,106', '14,013,988,297,446', '12,488,396,479,996', '694,529,859,025', '229,678,782,310', '1,094,930,413,572', '1,877,769,672,364', '-2,371,349,309,921', '32,400,100', '2,983,886,238,143', '3,183,814,097,120', '-199,927,858,977', '1,336,213,684,956']..., số giá trị độc nhất: 115
Q3_2024:
['51,559,913,663,516', '8,988,153,183,225', '6,150,989,048,730', '2,837,164,134,495', '20,882,777,920,819', '2,276,387,863', '-1,347,919,463', '20,881,849,452,419', '16,962,666,026,037', '14,496,337,709,792', '836,559,398,580', '194,158,152,911', '2,079,770,985,872', '1,819,732,838,768', '-2,463,893,059,886', nan, '3,272,121,810,546', '3,508,543,106,160', '-236,421,295,614', '1,454,194,722,889']..., số giá trị độc nhất: 112
Q4_2023:
['44,600,507,708,345', '9,404,038,383,171', '6,870,026,966,601', '2,534,011,416,570', '17,451,467,380,214', '2,276,387,863', '-1,220,562,863', '17,450,411,555,214', '13,944,197,021,554', '12,914,770,563,242', '576,742,808,686', '182,965,994,736', '1,166,763,562,649', '1,768,399,929,752', '-2,665,478,237,611', '32,400,100', '2,464,121,659,612', '2,664,153,064,798', '-200,031,405,186', '1,336,683,263,794']..., số giá trị độc nhất: 113
Q4_2024:
['49,985,725,505,833', '9,849,088,479,581', '7,134,634,362,586', '2,714,454,116,995', '21,933,941,863,443', '822,859,368', '-221,176,768', '21,933,340,180,843', '14,572,253,550,983', '12,721,191,411,362', '718,422,406,129', '136,097,256,629', '2,045,475,211,166', '1,502,860,596,419', '-2,551,793,330,722', nan, '2,454,694,170,924', '2,692,353,166,303', '-237,658,995,379', '1,175,747,440,902']..., số giá trị độc nhất: 109
Các bản ghi bị trùng:
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 1 A. TÀI SẢN NGẮN HẠN Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 41,594,825,545,471 46,746,724,331,863 43,530,441,675,684 46,219,852,471,291 44,760,934,586,194 48,148,915,643,889 34,089,374,177,155 42,637,418,537,556 43,587,148,401,867 46,262,023,548,433 44,760,934,586,194 48,148,915,643,889 41,682,810,412,074 46,746,724,331,863
1 2 I. Tiền và các khoản tương đương tiền Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 9,123,288,156,968 9,637,339,168,495 6,800,443,901,600 7,635,220,804,461 7,966,665,729,721 8,822,847,580,022 3,624,927,604,048 7,012,892,106,347 6,800,300,556,546 7,598,184,776,889 7,966,665,729,721 8,822,847,580,022 9,138,564,613,640 9,637,339,168,495
2 3 1. Tiền Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 6,616,540,053,222 6,922,885,051,500 4,527,189,983,331 6,259,371,171,574 5,522,822,364,053 5,992,809,925,286 3,346,319,498,556 5,934,595,714,304 4,527,046,638,277 6,259,335,144,002 5,522,822,364,053 5,992,809,925,286 6,616,816,509,894 6,922,885,051,500
3 4 2. Các khoản tương đương tiền Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 2,506,748,103,746 2,714,454,116,995 2,273,253,918,269 1,375,849,632,887 2,443,843,365,668 2,830,037,654,736 278,608,105,492 1,078,296,392,043 2,273,253,918,269 1,338,849,632,887 2,443,843,365,668 2,830,037,654,736 2,521,748,103,746 2,714,454,116,995
4 5 II. Đầu tư tài chính ngắn hạn Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 17,413,991,700,214 21,933,868,963,443 21,552,589,691,241 21,213,309,691,492 20,830,727,016,106 20,832,441,260,819 14,852,355,200,117 19,550,295,760,207 21,552,589,691,241 21,250,316,291,492 20,830,727,016,106 20,832,441,260,819 17,400,991,700,214 21,933,868,963,443
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
151 152 Lưu chuyển tiền thuần từ hoạt động tài chính Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, -1,023,837,311,708 -2,202,955,109,154 7,012,816,360,410 1,080,734,997,484 4,402,809,773,100 -994,300,103,254 54,054,159,038 1,986,735,997,012 NaN NaN NaN NaN NaN NaN
152 153 Lưu chuyển tiền thuần trong kỳ Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 2,104,906,120,650 1,155,113,835,740 -145,936,862,774 -1,453,052,372,808 1,003,682,039,992 -224,747,408,616 -3,350,244,575,545 -2,073,021,307,711 NaN NaN NaN NaN NaN NaN
153 154 Tiền và tương đương tiền đầu kỳ Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 6,973,737,454,851 8,490,064,335,488 6,973,737,454,851 9,123,288,156,968 6,973,737,454,851 9,123,288,156,968 6,973,737,454,851 9,123,288,156,968 NaN NaN NaN NaN NaN NaN
154 155 Ảnh hưởng của thay đổi tỷ giá hối đoái quy đổi... Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 44,644,581,467 -7,839,002,733 -27,356,690,477 -35,014,979,699 -10,753,765,122 -75,693,168,330 1,434,724,742 -37,374,742,910 NaN NaN NaN NaN NaN NaN
155 156 Tiền và tương đương tiền cuối kỳ (70 = 50 +60 ... Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 9,123,288,156,968 9,637,339,168,495 6,800,443,901,600 7,635,220,804,461 7,966,665,729,721 8,822,847,580,022 3,624,927,604,048 7,012,892,106,347 NaN NaN NaN NaN NaN NaN 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 156 entries, 0 to 155
Data columns (total 18 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   No.        156 non-null    int64 
 1   Indicator  156 non-null    object
 2   Industry   156 non-null    object
 3   Stocks     156 non-null    object
 4   2023       149 non-null    object
 5   2024       145 non-null    object
 6   6M_2023    149 non-null    object
 7   6M_2024    150 non-null    object
 8   9M_2023    153 non-null    object
 9   9M_2024    150 non-null    object
 10  Q1_2023    147 non-null    object
 11  Q1_2024    149 non-null    object
 12  Q2_2023    115 non-null    object
 13  Q2_2024    114 non-null    object
 14  Q3_2023    117 non-null    object
 15  Q3_2024    114 non-null    object
 16  Q4_2023    114 non-null    object
 17  Q4_2024    112 non-null    object
dtypes: int64(1), object(17)
memory usage: 22.1+ KB
None
Số giá trị bị rỗng:
No.           0
Indicator     0
Industry      0
Stocks        0
2023          7
2024         11
6M_2023       7
6M_2024       6
9M_2023       3
9M_2024       6
Q1_2023       9
Q1_2024       7
Q2_2023      41
Q2_2024      42
Q3_2023      39
Q3_2024      42
Q4_2023      42
Q4_2024      44
dtype: int64
Thống kê các giá trị:
No.
count 156.00
mean 78.50
std 45.18
min 1.00
25% 39.75
50% 78.50
75% 117.25
max 156.00 
No.          156
Indicator    150
Industry       1
Stocks         1
2023         144
2024         138
6M_2023      144
6M_2024      143
9M_2023      148
9M_2024      145
Q1_2023      143
Q1_2024      144
Q2_2023      112
Q2_2024      111
Q3_2023      114
Q3_2024      111
Q4_2023      111
Q4_2024      108
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No.:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 156
Indicator:
['A. TÀI SẢN NGẮN HẠN', 'I. Tiền và các khoản tương đương tiền', '1. Tiền', '2. Các khoản tương đương tiền', 'II. Đầu tư tài chính ngắn hạn', '1. Chứng khoán kinh doanh', '2. Dự phòng giảm giá chứng khoán kinh doanh', '3. Đầu tư nắm giữ đến ngày đáo hạn', 'III. Các khoản phải thu ngắn hạn', '1. Phải thu ngắn hạn của khách hàng', '2. Trả trước cho người bán ngắn hạn', '4. Phải thu theo tiến độ kế hoạch hợp đồng xây dựng', '5. Phải thu về cho vay ngắn hạn', '6. Phải thu ngắn hạn khác', '7. Dự phòng phải thu ngắn hạn khó đòi', '8. Tài sản thiếu chờ xử lý', 'IV. Hàng tồn kho', '1. Hàng tồn kho', '2. Dự phòng giảm giá hàng tồn kho', 'V. Tài sản ngắn hạn khác']..., số giá trị độc nhất: 150
Industry:
['Phần mềm và dịch vụ']..., số giá trị độc nhất: 1
Stocks:
['FPT, ITD, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
2023:
['41,594,825,545,471', '9,123,288,156,968', '6,616,540,053,222', '2,506,748,103,746', '17,413,991,700,214', '723,320,938', '-143,175,938', '17,413,411,555,214', '12,017,068,866,490', '11,338,059,710,694', '586,497,008,011', '176,770,894,412', '6,575,430,000', '1,032,926,422,018', '-1,123,760,598,645', nan, '1,880,845,569,935', '2,034,171,649,750', '-153,326,079,815', '1,159,631,251,864']..., số giá trị độc nhất: 145
2024:
['46,746,724,331,863', '9,637,339,168,495', '6,922,885,051,500', '2,714,454,116,995', '21,933,868,963,443', '749,959,368', '-221,176,768', '21,933,340,180,843', '12,088,573,389,226', '11,211,036,415,429', '638,092,077,015', '136,097,256,629', '38,670,917,590', '773,410,939,040', '-708,734,216,477', nan, '1,921,662,268,580', '2,055,129,806,063', '-133,467,537,483', '1,165,280,542,119']..., số giá trị độc nhất: 139
6M_2023:
['43,530,441,675,684', '6,800,443,901,600', '4,527,189,983,331', '2,273,253,918,269', '21,552,589,691,241', '723,320,938', '-268,670,138', '21,552,135,040,441', '11,442,353,878,129', '10,185,702,776,969', '712,488,768,092', '227,380,785,100', '67,048,830,446', '1,144,379,488,848', '-894,679,171,426', '32,400,100', '2,577,099,157,804', '2,739,414,097,309', '-162,314,939,505', '1,157,955,046,910']..., số giá trị độc nhất: 145
6M_2024:
['46,219,852,471,291', '7,635,220,804,461', '6,259,371,171,574', '1,375,849,632,887', '21,213,309,691,492', '723,320,938', '-146,850,538', '21,212,733,221,092', '13,651,233,983,157', '12,724,033,352,438', '816,754,259,936', '196,821,565,607', '34,694,400,000', '1,074,052,747,135', '-1,195,122,341,959', nan, '2,388,659,320,320', '2,547,738,333,650', '-159,079,013,330', '1,331,428,671,861']..., số giá trị độc nhất: 144
9M_2023:
['44,760,934,586,194', '7,966,665,729,721', '5,522,822,364,053', '2,443,843,365,668', '20,830,727,016,106', '723,320,938', '-144,829,938', '20,830,148,525,106', '12,395,905,255,490', '11,285,590,973,992', '590,039,561,303', '229,678,782,310', '69,078,966,120', '1,216,466,623,786', '-994,982,052,121', '32,400,100', '2,260,908,409,696', '2,418,645,432,790', '-157,737,023,094', '1,306,728,175,181']..., số giá trị độc nhất: 149
9M_2024:
['48,148,915,643,889', '8,822,847,580,022', '5,992,809,925,286', '2,830,037,654,736', '20,832,441,260,819', '723,320,938', '-131,512,538', '20,831,849,452,419', '14,388,217,249,275', '13,093,500,621,166', '741,432,085,759', '194,158,152,911', '59,603,915,000', '1,129,413,312,410', '-829,890,837,971', nan, '2,672,226,763,563', '2,826,694,513,759', '-154,467,750,196', '1,433,182,790,210']..., số giá trị độc nhất: 146
Q1_2023:
['34,089,374,177,155', '3,624,927,604,048', '3,346,319,498,556', '278,608,105,492', '14,852,355,200,117', '723,320,938', '-435,317,938', '14,852,067,197,117', '11,897,006,324,608', '10,249,365,545,395', '804,215,052,286', '231,842,985,934', '60,498,311,424', '1,430,940,632,064', '-879,856,202,495', nan, '2,567,305,843,185', '2,730,750,278,828', '-163,444,435,643', '1,147,779,205,197']..., số giá trị độc nhất: 144
Q1_2024:
['42,637,418,537,556', '7,012,892,106,347', '5,934,595,714,304', '1,078,296,392,043', '19,550,295,760,207', '723,320,938', '-143,175,938', '19,549,715,615,207', '12,517,594,104,350', '11,638,714,431,744', '817,937,544,171', '190,429,912,043', '9,014,020,000', '1,051,766,518,541', '-1,190,268,322,149', nan, '2,193,898,267,123', '2,355,952,784,211', '-162,054,517,088', '1,362,738,299,529']..., số giá trị độc nhất: 145
Q2_2023:
['43,587,148,401,867', '6,800,300,556,546', '4,527,046,638,277', '2,273,253,918,269', '21,552,589,691,241', '723,320,938', '-268,670,138', '21,552,135,040,441', '11,493,940,814,367', '10,209,586,664,879', '712,794,521,881', '227,380,785,100', '57,294,368,657', '1,181,740,682,958', '-894,888,609,208', '32,400,100', '2,563,557,525,737', '2,725,872,465,242', '-162,314,939,505', '1,176,759,813,976']..., số giá trị độc nhất: 113
Q2_2024:
['46,262,023,548,433', '7,598,184,776,889', '6,259,335,144,002', '1,338,849,632,887', '21,250,316,291,492', '723,320,938', '-146,850,538', '21,249,739,821,092', '13,706,202,541,621', '12,770,674,095,070', '822,649,658,468', '196,821,565,607', '34,694,400,000', '1,076,485,164,435', '-1,195,122,341,959', nan, '2,374,227,092,982', '2,533,306,106,312', '-159,079,013,330', '1,333,092,845,449']..., số giá trị độc nhất: 112
Q3_2023:
['44,760,934,586,194', '7,966,665,729,721', '5,522,822,364,053', '2,443,843,365,668', '20,830,727,016,106', '723,320,938', '-144,829,938', '20,830,148,525,106', '12,395,905,255,490', '11,285,590,973,992', '590,039,561,303', '229,678,782,310', '69,078,966,120', '1,216,466,623,786', '-994,982,052,121', '32,400,100', '2,260,908,409,696', '2,418,645,432,790', '-157,737,023,094', '1,306,728,175,181']..., số giá trị độc nhất: 115
Q3_2024:
['48,148,915,643,889', '8,822,847,580,022', '5,992,809,925,286', '2,830,037,654,736', '20,832,441,260,819', '723,320,938', '-131,512,538', '20,831,849,452,419', '14,388,217,249,275', '13,093,500,621,166', '741,432,085,759', '194,158,152,911', '59,603,915,000', '1,129,413,312,410', '-829,890,837,971', nan, '2,672,226,763,563', '2,826,694,513,759', '-154,467,750,196', '1,433,182,790,210']..., số giá trị độc nhất: 112
Q4_2023:
['41,682,810,412,074', '9,138,564,613,640', '6,616,816,509,894', '2,521,748,103,746', '17,400,991,700,214', '723,320,938', '-143,175,938', '17,400,411,555,214', '11,956,030,036,944', '11,372,743,615,574', '470,004,588,146', '182,965,994,736', '515,430,000', '1,052,042,311,719', '-1,122,274,303,331', '32,400,100', '1,864,181,927,165', '2,017,330,106,071', '-153,148,178,906', '1,323,042,134,111']..., số giá trị độc nhất: 112
Q4_2024:
['46,746,724,331,863', '9,637,339,168,495', '6,922,885,051,500', '2,714,454,116,995', '21,933,868,963,443', '749,959,368', '-221,176,768', '21,933,340,180,843', '12,088,573,389,226', '11,211,036,415,429', '638,092,077,015', '136,097,256,629', '38,670,917,590', '773,410,939,040', '-708,734,216,477', nan, '1,921,662,268,580', '2,055,129,806,063', '-133,467,537,483', '1,165,280,542,119']..., số giá trị độc nhất: 109
Các bản ghi bị trùng:
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 1 A. TÀI SẢN NGẮN HẠN Phần mềm FPT, CMG, ELC, PIA, 41,176,856,266,786 46,746,724,331,863 43,101,926,390,492 45,781,144,089,909 44,294,661,891,281 47,608,781,960,425 33,626,105,991,702 42,308,308,576,314 43,151,957,831,183 45,822,321,724,154 44,294,661,891,281 47,608,781,960,425 41,263,007,381,893 46,746,724,331,863
1 2 I. Tiền và các khoản tương đương tiền Phần mềm FPT, CMG, ELC, PIA, 9,000,644,223,945 9,637,339,168,495 6,730,217,171,219 7,570,970,694,455 7,896,778,263,547 8,745,271,933,375 3,586,504,967,948 6,956,772,470,143 6,730,073,826,165 7,540,934,666,883 7,896,778,263,547 8,745,271,933,375 9,015,920,680,617 9,637,339,168,495
2 3 1. Tiền Phần mềm FPT, CMG, ELC, PIA, 6,534,071,120,199 6,922,885,051,500 4,495,528,252,950 6,232,306,042,464 5,481,299,897,879 5,947,912,694,858 3,327,521,498,605 5,909,153,328,785 4,495,384,907,896 6,232,270,014,892 5,481,299,897,879 5,947,912,694,858 6,534,347,576,871 6,922,885,051,500
3 4 2. Các khoản tương đương tiền Phần mềm FPT, CMG, ELC, PIA, 2,466,573,103,746 2,714,454,116,995 2,234,688,918,269 1,338,664,651,991 2,415,478,365,668 2,797,359,238,517 258,983,469,343 1,047,619,141,358 2,234,688,918,269 1,308,664,651,991 2,415,478,365,668 2,797,359,238,517 2,481,573,103,746 2,714,454,116,995
4 5 II. Đầu tư tài chính ngắn hạn Phần mềm FPT, CMG, ELC, PIA, 17,328,426,700,214 21,933,868,963,443 21,470,824,691,241 21,180,164,691,492 20,733,962,016,106 20,800,691,260,819 14,786,290,200,117 19,491,600,760,207 21,470,824,691,241 21,210,171,291,492 20,733,962,016,106 20,800,691,260,819 17,315,426,700,214 21,933,868,963,443
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
150 151 Lưu chuyển tiền thuần từ hoạt động tài chính Phần mềm FPT, CMG, ELC, PIA, -1,014,181,109,643 -2,202,955,109,154 7,025,925,126,852 1,130,253,123,329 4,387,405,789,451 -1,013,399,151,947 62,250,772,585 2,016,621,772,196 NaN NaN NaN NaN NaN NaN
151 152 Lưu chuyển tiền thuần trong kỳ Phần mềm FPT, CMG, ELC, PIA, 2,051,324,362,536 1,155,113,835,740 -147,246,404,125 -1,394,809,392,536 1,002,703,226,730 -179,672,987,564 -3,319,749,535,538 -2,006,480,772,553 NaN NaN NaN NaN NaN NaN
152 153 Tiền và tương đương tiền đầu kỳ Phần mềm FPT, CMG, ELC, PIA, 6,904,827,779,294 8,490,064,335,488 6,904,827,779,294 9,000,644,223,945 6,904,827,779,294 9,000,644,223,945 6,904,827,779,294 9,000,644,223,945 NaN NaN NaN NaN NaN NaN
153 154 Ảnh hưởng của thay đổi tỷ giá hối đoái quy đổi... Phần mềm FPT, CMG, ELC, PIA, 44,492,082,115 -7,839,002,733 -27,364,203,950 -34,864,136,954 -10,752,742,477 -75,699,303,006 1,426,724,192 -37,390,981,249 NaN NaN NaN NaN NaN NaN
154 155 Tiền và tương đương tiền cuối kỳ (70 = 50 +60 ... Phần mềm FPT, CMG, ELC, PIA, 9,000,644,223,945 9,637,339,168,495 6,730,217,171,219 7,570,970,694,455 7,896,778,263,547 8,745,271,933,375 3,586,504,967,948 6,956,772,470,143 NaN NaN NaN NaN NaN NaN 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 155 entries, 0 to 154
Data columns (total 18 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   No.        155 non-null    int64 
 1   Indicator  155 non-null    object
 2   Industry   155 non-null    object
 3   Stocks     155 non-null    object
 4   2023       147 non-null    object
 5   2024       145 non-null    object
 6   6M_2023    147 non-null    object
 7   6M_2024    148 non-null    object
 8   9M_2023    151 non-null    object
 9   9M_2024    149 non-null    object
 10  Q1_2023    143 non-null    object
 11  Q1_2024    148 non-null    object
 12  Q2_2023    115 non-null    object
 13  Q2_2024    114 non-null    object
 14  Q3_2023    116 non-null    object
 15  Q3_2024    114 non-null    object
 16  Q4_2023    113 non-null    object
 17  Q4_2024    112 non-null    object
dtypes: int64(1), object(17)
memory usage: 21.9+ KB
None
Số giá trị bị rỗng:
No.           0
Indicator     0
Industry      0
Stocks        0
2023          8
2024         10
6M_2023       8
6M_2024       7
9M_2023       4
9M_2024       6
Q1_2023      12
Q1_2024       7
Q2_2023      40
Q2_2024      41
Q3_2023      39
Q3_2024      41
Q4_2023      42
Q4_2024      43
dtype: int64
Thống kê các giá trị:
No.
count 155.00
mean 78.00
std 44.89
min 1.00
25% 39.50
50% 78.00
75% 116.50
max 155.00 
No.          155
Indicator    149
Industry       1
Stocks         1
2023         141
2024         138
6M_2023      141
6M_2024      140
9M_2023      145
9M_2024      143
Q1_2023      138
Q1_2024      142
Q2_2023      112
Q2_2024      111
Q3_2023      113
Q3_2024      111
Q4_2023      110
Q4_2024      108
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No.:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 155
Indicator:
['A. TÀI SẢN NGẮN HẠN', 'I. Tiền và các khoản tương đương tiền', '1. Tiền', '2. Các khoản tương đương tiền', 'II. Đầu tư tài chính ngắn hạn', '1. Chứng khoán kinh doanh', '2. Dự phòng giảm giá chứng khoán kinh doanh', '3. Đầu tư nắm giữ đến ngày đáo hạn', 'III. Các khoản phải thu ngắn hạn', '1. Phải thu ngắn hạn của khách hàng', '2. Trả trước cho người bán ngắn hạn', '4. Phải thu theo tiến độ kế hoạch hợp đồng xây dựng', '5. Phải thu về cho vay ngắn hạn', '6. Phải thu ngắn hạn khác', '7. Dự phòng phải thu ngắn hạn khó đòi', '8. Tài sản thiếu chờ xử lý', 'IV. Hàng tồn kho', '1. Hàng tồn kho', '2. Dự phòng giảm giá hàng tồn kho', 'V. Tài sản ngắn hạn khác']..., số giá trị độc nhất: 149
Industry:
['Phần mềm']..., số giá trị độc nhất: 1
Stocks:
['FPT, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
2023:
['41,176,856,266,786', '9,000,644,223,945', '6,534,071,120,199', '2,466,573,103,746', '17,328,426,700,214', '723,320,938', '-143,175,938', '17,327,846,555,214', '11,850,897,845,536', '11,102,593,825,132', '570,048,594,045', '176,770,894,412', '6,515,430,000', '1,025,685,989,832', '-1,030,716,887,885', nan, '1,844,876,228,649', '1,976,422,078,087', '-131,545,849,438', '1,152,011,268,442']..., số giá trị độc nhất: 142
2024:
['46,746,724,331,863', '9,637,339,168,495', '6,922,885,051,500', '2,714,454,116,995', '21,933,868,963,443', '749,959,368', '-221,176,768', '21,933,340,180,843', '12,088,573,389,226', '11,211,036,415,429', '638,092,077,015', '136,097,256,629', '38,670,917,590', '773,410,939,040', '-708,734,216,477', nan, '1,921,662,268,580', '2,055,129,806,063', '-133,467,537,483', '1,165,280,542,119']..., số giá trị độc nhất: 139
6M_2023:
['43,101,926,390,492', '6,730,217,171,219', '4,495,528,252,950', '2,234,688,918,269', '21,470,824,691,241', '723,320,938', '-268,670,138', '21,470,370,040,441', '11,223,415,380,774', '9,981,786,202,250', '680,846,536,071', '227,380,785,100', '57,294,368,657', '1,132,431,358,339', '-856,356,269,743', '32,400,100', '2,527,731,549,066', '2,680,899,367,849', '-153,167,818,783', '1,149,737,598,192']..., số giá trị độc nhất: 142
6M_2024:
['45,781,144,089,909', '7,570,970,694,455', '6,232,306,042,464', '1,338,664,651,991', '21,180,164,691,492', '723,320,938', '-146,850,538', '21,179,588,221,092', '13,504,325,563,477', '12,556,514,607,316', '753,868,526,920', '196,821,565,607', '34,634,400,000', '1,067,148,749,503', '-1,104,662,285,869', nan, '2,214,873,134,213', '2,352,223,162,114', '-137,350,027,901', '1,310,810,006,272']..., số giá trị độc nhất: 141
9M_2023:
['44,294,661,891,281', '7,896,778,263,547', '5,481,299,897,879', '2,415,478,365,668', '20,733,962,016,106', '723,320,938', '-144,829,938', '20,733,383,525,106', '12,159,938,063,475', '10,999,719,888,721', '566,246,561,470', '229,678,782,310', '69,078,966,120', '1,205,006,318,977', '-909,824,854,223', '32,400,100', '2,208,195,711,189', '2,351,683,892,286', '-143,488,181,097', '1,295,787,836,964']..., số giá trị độc nhất: 146
9M_2024:
['47,608,781,960,425', '8,745,271,933,375', '5,947,912,694,858', '2,797,359,238,517', '20,800,691,260,819', '723,320,938', '-131,512,538', '20,800,099,452,419', '14,261,316,238,103', '12,914,129,205,928', '711,329,028,738', '194,158,152,911', '59,543,915,000', '1,121,507,412,409', '-739,351,476,883', nan, '2,397,216,149,917', '2,532,066,130,389', '-134,849,980,472', '1,404,286,378,211']..., số giá trị độc nhất: 144
Q1_2023:
['33,626,105,991,702', '3,586,504,967,948', '3,327,521,498,605', '258,983,469,343', '14,786,290,200,117', '723,320,938', '-435,317,938', '14,786,002,197,117', '11,598,723,712,167', '9,950,127,473,631', '796,892,154,632', '231,842,985,934', '60,498,311,424', '1,400,612,864,734', '-841,250,078,188', nan, '2,514,470,423,004', '2,667,880,393,115', '-153,409,970,111', '1,140,116,688,466']..., số giá trị độc nhất: 139
Q1_2024:
['42,308,308,576,314', '6,956,772,470,143', '5,909,153,328,785', '1,047,619,141,358', '19,491,600,760,207', '723,320,938', '-143,175,938', '19,491,020,615,207', '12,342,715,746,710', '11,440,360,149,239', '754,613,456,801', '190,429,912,043', '8,954,020,000', '1,045,623,715,352', '-1,097,265,506,725', nan, '2,163,871,292,657', '2,304,065,600,308', '-140,194,307,651', '1,353,348,306,597']..., số giá trị độc nhất: 143
Q2_2023:
['43,151,957,831,183', '6,730,073,826,165', '4,495,384,907,896', '2,234,688,918,269', '21,470,824,691,241', '723,320,938', '-268,670,138', '21,470,370,040,441', '11,268,342,239,850', '10,005,545,090,160', '681,152,289,860', '227,380,785,100', '57,294,368,657', '1,153,503,013,498', '-856,565,707,525', '32,400,100', '2,514,189,916,999', '2,667,357,735,782', '-153,167,818,783', '1,168,527,156,928']..., số giá trị độc nhất: 113
Q2_2024:
['45,822,321,724,154', '7,540,934,666,883', '6,232,270,014,892', '1,308,664,651,991', '21,210,171,291,492', '723,320,938', '-146,850,538', '21,209,594,821,092', '13,559,427,091,553', '12,603,288,265,120', '759,763,925,452', '196,821,565,607', '34,634,400,000', '1,069,581,221,243', '-1,104,662,285,869', nan, '2,200,168,103,875', '2,337,518,131,776', '-137,350,027,901', '1,311,620,570,351']..., số giá trị độc nhất: 112
Q3_2023:
['44,294,661,891,281', '7,896,778,263,547', '5,481,299,897,879', '2,415,478,365,668', '20,733,962,016,106', '723,320,938', '-144,829,938', '20,733,383,525,106', '12,159,938,063,475', '10,999,719,888,721', '566,246,561,470', '229,678,782,310', '69,078,966,120', '1,205,006,318,977', '-909,824,854,223', '32,400,100', '2,208,195,711,189', '2,351,683,892,286', '-143,488,181,097', '1,295,787,836,964']..., số giá trị độc nhất: 114
Q3_2024:
['47,608,781,960,425', '8,745,271,933,375', '5,947,912,694,858', '2,797,359,238,517', '20,800,691,260,819', '723,320,938', '-131,512,538', '20,800,099,452,419', '14,261,316,238,103', '12,914,129,205,928', '711,329,028,738', '194,158,152,911', '59,543,915,000', '1,121,507,412,409', '-739,351,476,883', nan, '2,397,216,149,917', '2,532,066,130,389', '-134,849,980,472', '1,404,286,378,211']..., số giá trị độc nhất: 112
Q4_2023:
['41,263,007,381,893', '9,015,920,680,617', '6,534,347,576,871', '2,481,573,103,746', '17,315,426,700,214', '723,320,938', '-143,175,938', '17,314,846,555,214', '11,787,324,659,961', '11,137,292,535,184', '453,556,174,180', '182,965,994,736', '515,430,000', '1,042,293,209,295', '-1,029,331,083,534', '32,400,100', '1,828,897,812,199', '1,960,443,661,637', '-131,545,849,438', '1,315,437,528,902']..., số giá trị độc nhất: 111
Q4_2024:
['46,746,724,331,863', '9,637,339,168,495', '6,922,885,051,500', '2,714,454,116,995', '21,933,868,963,443', '749,959,368', '-221,176,768', '21,933,340,180,843', '12,088,573,389,226', '11,211,036,415,429', '638,092,077,015', '136,097,256,629', '38,670,917,590', '773,410,939,040', '-708,734,216,477', nan, '1,921,662,268,580', '2,055,129,806,063', '-133,467,537,483', '1,165,280,542,119']..., số giá trị độc nhất: 109
Các bản ghi bị trùng:
No. Indicator Industry Stocks 2023 2024 6M_2023 6M_2024 9M_2023 9M_2024 Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_metrics_FPT_CMG_processed.csv
financialreport_metrics_FPT_CMG_processed.csv
Indicator StockID Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Beta\nLần CMG 1.02 0.93 1.04 1.18 0.94 1.19 1.01 NaN
1 Beta\nLần FPT 0.78 0.76 0.74 0.80 0.75 0.81 0.77 0.96
2 Chi phí bán hàng/Doanh thu thuần\n% CMG 5.61 6.70 6.34 6.01 5.75 5.82 8.53 NaN
3 Chi phí bán hàng/Doanh thu thuần\n% FPT 9.43 9.71 9.92 10.42 10.42 9.83 8.96 9.57
4 Chi phí lãi vay/Doanh thu thuần\n% CMG 1.16 1.02 1.27 0.93 1.17 1.05 0.97 NaN
Indicator StockID Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
132 Vòng quay vốn chủ sở hữu\nVòng FPT 0.45 0.46 0.45 0.47 0.48 0.47 0.50 0.49
133 XDCBDD/Tài sản cố định\n% CMG 33.49 37.38 35.57 39.47 37.19 43.64 33.44 NaN
134 XDCBDD/Tài sản cố định\n% FPT 10.35 10.35 14.33 10.27 10.02 10.21 9.64 17.25
135 Đầu tư tài chính ngắn hạn/Tài sản ngắn hạn\n% CMG 25.75 32.45 27.84 30.88 28.37 32.38 33.84 NaN
136 Đầu tư tài chính ngắn hạn/Tài sản ngắn hạn\n% FPT 46.95 48.38 52.77 48.79 49.63 45.63 43.87 47.91 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 137 entries, 0 to 136
Data columns (total 10 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  137 non-null    object
 1   StockID    137 non-null    object
 2   Q1_2023    137 non-null    object
 3   Q1_2024    137 non-null    object
 4   Q2_2023    121 non-null    object
 5   Q2_2024    121 non-null    object
 6   Q3_2023    121 non-null    object
 7   Q3_2024    121 non-null    object
 8   Q4_2023    121 non-null    object
 9   Q4_2024    61 non-null     object
dtypes: object(10)
memory usage: 10.8+ KB
None
Số giá trị bị rỗng:
Indicator     0
StockID       0
Q1_2023       0
Q1_2024       0
Q2_2023      16
Q2_2024      16
Q3_2023      16
Q3_2024      16
Q4_2023      16
Q4_2024      76
dtype: int64
Thống kê các giá trị:
Indicator StockID Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 137 137 137 137 121 121 121 121 121 61
unique 69 2 136 134 120 117 118 118 120 60
top Beta\nLần FPT 0.36 0.02 0.20 14.65 16.55 1.19 0.50 0.01
freq 2 69 2 2 2 2 2 2 2 2 
Indicator     69
StockID        2
Q1_2023      136
Q1_2024      134
Q2_2023      120
Q2_2024      117
Q3_2023      118
Q3_2024      118
Q4_2023      120
Q4_2024       60
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['Beta\nLần', 'Chi phí bán hàng/Doanh thu thuần\n%', 'Chi phí lãi vay/Doanh thu thuần\n%', 'Chi phí quản lý doanh nghiệp/Doanh thu thuần\n%', 'Chỉ số giá thị trường trên doanh thu thuần (P/S)\nLần', 'Chỉ số giá thị trường trên giá trị sổ sách (P/B)\nLần', 'Chỉ số giá thị trường trên thu nhập (P/E)\nLần', 'Dòng tiền từ HĐKD trên Lợi nhuận thuần từ HĐKD\n%', 'Dòng tiền từ HĐKD trên Tổng tài sản\n%', 'Dòng tiền từ HĐKD trên Vốn chủ sở hữu\n%', 'Dòng tiền từ HĐKD trên mỗi cổ phần (CPS)\nVNĐ', 'Giá trị doanh nghiệp trên lợi nhuận trước thuế và lãi vay (EV/EBIT)\nLần', 'Giá trị sổ sách của cổ phiếu (BVPS)\nVNĐ', 'Giá vốn hàng bán/Doanh thu thuần\n%', 'Hàng tồn kho/Tài sản ngắn hạn\n%', 'Khả năng chi trả nợ ngắn hạn từ dòng tiền HĐKD\n%', 'Khả năng chi trả nợ ngắn hạn từ lưu chuyển tiền thuần trong kỳ\n%', 'Khả năng thanh toán lãi vay\nLần', 'Khả năng thanh toán nợ từ dòng tiền HĐKD\n%', 'Phải thu ngắn hạn/Tài sản ngắn hạn\n%']..., số giá trị độc nhất: 69
StockID:
['CMG', 'FPT']..., số giá trị độc nhất: 2
Q1_2023:
['1.02', '0.78', '5.61', '9.43', '1.16', '1.27', '6.04', '13.63', '3.39', '7.43', '1.89', '3.21', '15.30', '15.04', '23.07', '-68.04', '0.36', '-2.81', '0.79', '-5.27']..., số giá trị độc nhất: 136
Q1_2024:
['0.93', '0.76', '6.70', '9.71', '1.02', '0.98', '6.52', '12.94', '4.23', '10.50', '2.21', '4.66', '19.81', '21.02', '69.50', '-26.14', '1.09', '-1.06', '2.31', '-2.07']..., số giá trị độc nhất: 134
Q2_2023:
['1.04', '0.74', '6.34', '9.92', '1.27', '1.70', '7.07', '11.82', '3.89', '7.61', '2.15', '3.32', '20.57', '16.26', nan, '79.76', '46.38', '21,514', '25,891', '82.77']..., số giá trị độc nhất: 121
Q2_2024:
['1.18', '0.80', '6.01', '10.42', '0.93', '0.98', '5.78', '11.26', '5.32', '12.50', '3.37', '5.81', '32.78', '23.23', nan, '124.75', '73.04', '18,091', '22,446', '84.99']..., số giá trị độc nhất: 118
Q3_2023:
['0.94', '0.75', '5.75', '10.42', '1.17', '1.93', '6.05', '12.89', '3.40', '8.56', '2.20', '4.15', '21.63', '17.31', nan, '37.74', '49.94', '21,740', '22,365', '80.79']..., số giá trị độc nhất: 119
Q3_2024:
['1.19', '0.81', '5.82', '9.83', '1.05', '5.43', '11.37', '4.20', '12.35', '2.70', '5.55', '29.25', '23.80', nan, '57.88', '68.75', '18,833', '24,213', '80.63', '61.27']..., số giá trị độc nhất: 119
Q4_2023:
['1.01', '0.77', '8.53', '8.96', '0.97', '1.41', '8.16', '13.48', '5.01', '8.31', '2.47', '4.08', '20.28', '17.55', nan, '107.39', '50.26', '17,585', '23,580', '79.81']..., số giá trị độc nhất: 121
Q4_2024:
[nan, '0.96', '9.57', '0.77', '9.86', '12.74', '6.27', '26.77', '76.23', '24,332', '63.20', '4.04', '22.95', '25.02', '5,697', '221.15', '123.33', '63.87', '20.48', '86.24']..., số giá trị độc nhất: 61
Các bản ghi bị trùng:
Indicator StockID Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_metrics_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv
financialreport_metrics_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Chi phí bán hàng/Doanh thu thuần\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 8.77 9.20 9.03 9.40 9.22 8.78 8.26 9.07
1 Chi phí lãi vay/ Doanh thu thuần\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 1.90 5.58 2.34 1.83 2.30 1.23 1.79 1.01
2 Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 12.51 11.91 10.38 10.28 11.69 10.61 13.09 10.56
3 Chỉ số giá thị trường trên giá trị sổ sách (P/... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 2.82 4.14 2.95 5.22 3.63 4.96 3.62 5.93
4 Chỉ số giá thị trường trên thu nhập (P/E)\nLần Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 17.63 21.44 18.13 24.22 19.12 24.36 18.23 26.16
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
56 Vòng quay tài sản cố định (Hiệu suất sử dụng t... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 0.83 0.88 0.88 0.97 0.95 1.03 0.98 1.10
57 Vòng quay tổng tài sản (Hiệu suất sử dụng toàn... Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 0.21 0.21 0.20 0.22 0.22 0.23 0.23 0.23
58 Vòng quay vốn chủ sở hữu\nVòng Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 0.43 0.44 0.44 0.48 0.50 0.48 0.50 0.50
59 XDCBDD/Tài sản cố định\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 16.57 16.47 19.69 16.57 16.30 16.97 15.58 20.95
60 Đầu tư tài chính ngắn hạn/Tài sản ngắn hạn\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 39.11 43.22 45.46 42.85 42.88 39.63 38.25 43.62 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 61 entries, 0 to 60
Data columns (total 11 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  61 non-null     object
 1   Industry   61 non-null     object
 2   Stocks     61 non-null     object
 3   Q1_2023    61 non-null     object
 4   Q1_2024    61 non-null     object
 5   Q2_2023    61 non-null     object
 6   Q2_2024    61 non-null     object
 7   Q3_2023    61 non-null     object
 8   Q3_2024    61 non-null     object
 9   Q4_2023    61 non-null     object
 10  Q4_2024    61 non-null     object
dtypes: object(11)
memory usage: 5.4+ KB
None
Số giá trị bị rỗng:
Indicator    0
Industry     0
Stocks       0
Q1_2023      0
Q1_2024      0
Q2_2023      0
Q2_2024      0
Q3_2023      0
Q3_2024      0
Q4_2023      0
Q4_2024      0
dtype: int64
Thống kê các giá trị:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 61 61 61 61 61 61 61 61 61 61 61
unique 61 1 1 61 61 60 58 58 57 58 57
top Chi phí bán hàng/Doanh thu thuần\n% Công nghệ thông tin FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA, 8.77 9.20 17.71 0.00 0.00 0.00 0.00 0.00
freq 1 61 61 1 1 2 3 3 3 3 3 
Indicator    61
Industry      1
Stocks        1
Q1_2023      61
Q1_2024      61
Q2_2023      60
Q2_2024      58
Q3_2023      58
Q3_2024      57
Q4_2023      58
Q4_2024      57
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['Chi phí bán hàng/Doanh thu thuần\n%', 'Chi phí lãi vay/ Doanh thu thuần\n%', 'Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n%', 'Chỉ số giá thị trường trên giá trị sổ sách (P/B)\nLần', 'Chỉ số giá thị trường trên thu nhập (P/E)\nLần', 'Doanh thu thuần\n%', 'Giá trị sổ sách của cổ phiếu (BVPS)\nVNĐ', 'Giá vốn hàng bán/Doanh thu thuần\n%', 'Hàng tồn kho/Tài sản ngắn hạn\n%', 'Khả năng chi trả Nợ ngắn hạn từ dòng tiền HĐKD\n%', 'Khả năng chi trả Nợ ngắn hạn từ lưu chuyển tiền thuần trong kỳ\n%', 'Khả năng thanh toán lãi vay\nLần', 'Lợi nhuận gộp\n%', 'Nợ dài hạn\n%', 'Nợ phải trả\n%', 'P/S\nLần', 'Phải thu ngắn hạn/Tài sản ngắn hạn\n%', 'Thu nhập trên mỗi cổ phần (EPS)\nVNĐ', 'Thời gian thu tiền khách hàng bình quân\nNgày', 'Thời gian trả tiền khách hàng bình quân\nNgày']..., số giá trị độc nhất: 61
Industry:
['Công nghệ thông tin']..., số giá trị độc nhất: 1
Stocks:
['FPT, POT, DLG, ITD, SMT, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
Q1_2023:
['8.77', '1.90', '12.51', '2.82', '17.63', '13.26', '19,794', '64.80', '9.82', '-4.31', '-10.87', '9.14', '13.52', '-31.42', '-19.27', '6.60', '37.50', '3,156', '76.55', '46.02']..., số giá trị độc nhất: 61
Q1_2024:
['9.20', '5.58', '11.91', '4.14', '21.44', '16.27', '19,746', '64.14', '6.99', '-1.43', '-5.77', '3.87', '18.45', '15.27', '17.78', '9.48', '30.60', '3,831', '71.40', '42.60']..., số giá trị độc nhất: 61
Q2_2023:
['9.03', '2.34', '10.38', '2.95', '18.13', '16.16', '20,668', '66.88', '7.83', '-0.70', '0.21', '7.55', '11.64', '-31.37', '-0.90', '6.73', '29.20', '3,377', '71.49', '40.53']..., số giá trị độc nhất: 60
Q2_2024:
['9.40', '1.83', '10.28', '5.22', '24.22', '21.65', '18,485', '66.95', '6.82', '0.00', '9.07', '21.39', '14.99', '1.66', '10.88', '31.71', '3,874', '69.29', '36.52', '24.53']..., số giá trị độc nhất: 58
Q3_2023:
['9.22', '2.30', '11.69', '3.63', '19.12', '17.27', '18,765', '64.74', '7.01', '0.00', '7.51', '23.29', '-30.32', '8.03', '7.27', '30.25', '3,471', '68.00', '36.97', '27.39']..., số giá trị độc nhất: 58
Q3_2024:
['8.78', '1.23', '10.61', '4.96', '24.36', '14.26', '19,807', '65.72', '7.02', '0.00', '13.94', '11.09', '11.48', '-3.72', '10.41', '33.30', '3,946', '68.21', '35.61', '25.61']..., số giá trị độc nhất: 57
Q4_2023:
['8.26', '1.79', '13.09', '3.62', '18.23', '9.20', '19,012', '66.13', '6.23', '0.00', '8.31', '5.82', '-20.18', '11.91', '7.20', '31.85', '3,467', '66.15', '36.47', '21.24']..., số giá trị độc nhất: 58
Q4_2024:
['9.07', '1.01', '10.56', '5.93', '26.16', '2.80', '20,243', '64.58', '5.08', '0.00', '17.43', '7.53', '-7.36', '0.76', '11.91', '29.29', '4,511', '61.25', '42.02', '18.84']..., số giá trị độc nhất: 57
Các bản ghi bị trùng:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv
financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Chi phí bán hàng/Doanh thu thuần\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 9.06 9.41 9.37 9.78 9.47 9.06 8.73 9.47
1 Chi phí lãi vay/ Doanh thu thuần\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 1.28 1.01 1.66 0.99 1.77 0.83 1.34 0.75
2 Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 12.66 12.13 11.05 10.43 11.76 10.28 12.61 9.82
3 Chỉ số giá thị trường trên giá trị sổ sách (P/... Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 2.93 4.24 3.06 5.34 3.78 5.07 3.74 6.11
4 Chỉ số giá thị trường trên thu nhập (P/E)\nLần Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 15.04 21.01 16.51 23.74 17.63 24.03 17.76 26.69
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
56 Vòng quay tài sản cố định (Hiệu suất sử dụng t... Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 0.96 1.00 1.01 1.07 1.09 1.15 1.08 1.21
57 Vòng quay tổng tài sản (Hiệu suất sử dụng toàn... Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 0.23 0.22 0.21 0.24 0.23 0.25 0.25 0.24
58 Vòng quay vốn chủ sở hữu\nVòng Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 0.43 0.44 0.44 0.47 0.51 0.47 0.49 0.49
59 XDCBDD/Tài sản cố định\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 13.99 13.99 17.45 14.11 13.83 14.49 13.00 18.60
60 Đầu tư tài chính ngắn hạn/Tài sản ngắn hạn\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 42.52 45.17 48.36 45.22 45.55 42.45 40.97 46.92 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 61 entries, 0 to 60
Data columns (total 11 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  61 non-null     object
 1   Industry   61 non-null     object
 2   Stocks     61 non-null     object
 3   Q1_2023    61 non-null     object
 4   Q1_2024    61 non-null     object
 5   Q2_2023    61 non-null     object
 6   Q2_2024    61 non-null     object
 7   Q3_2023    61 non-null     object
 8   Q3_2024    61 non-null     object
 9   Q4_2023    61 non-null     object
 10  Q4_2024    61 non-null     object
dtypes: object(11)
memory usage: 5.4+ KB
None
Số giá trị bị rỗng:
Indicator    0
Industry     0
Stocks       0
Q1_2023      0
Q1_2024      0
Q2_2023      0
Q2_2024      0
Q3_2023      0
Q3_2024      0
Q4_2023      0
Q4_2024      0
dtype: int64
Thống kê các giá trị:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 61 61 61 61 61 61 61 61 61 61 61
unique 61 1 1 60 59 58 58 58 57 58 58
top Chi phí bán hàng/Doanh thu thuần\n% Phần mềm và dịch vụ FPT, ITD, CMG, ELC, PIA, 1.29 0.22 0.00 0.00 0.00 0.00 0.00 0.00
freq 1 61 61 2 2 3 3 3 3 3 3 
Indicator    61
Industry      1
Stocks        1
Q1_2023      60
Q1_2024      59
Q2_2023      58
Q2_2024      58
Q3_2023      58
Q3_2024      57
Q4_2023      58
Q4_2024      58
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['Chi phí bán hàng/Doanh thu thuần\n%', 'Chi phí lãi vay/ Doanh thu thuần\n%', 'Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n%', 'Chỉ số giá thị trường trên giá trị sổ sách (P/B)\nLần', 'Chỉ số giá thị trường trên thu nhập (P/E)\nLần', 'Doanh thu thuần\n%', 'Giá trị sổ sách của cổ phiếu (BVPS)\nVNĐ', 'Giá vốn hàng bán/Doanh thu thuần\n%', 'Hàng tồn kho/Tài sản ngắn hạn\n%', 'Khả năng chi trả Nợ ngắn hạn từ dòng tiền HĐKD\n%', 'Khả năng chi trả Nợ ngắn hạn từ lưu chuyển tiền thuần trong kỳ\n%', 'Khả năng thanh toán lãi vay\nLần', 'Lợi nhuận gộp\n%', 'Nợ dài hạn\n%', 'Nợ phải trả\n%', 'P/S\nLần', 'Phải thu ngắn hạn/Tài sản ngắn hạn\n%', 'Thu nhập trên mỗi cổ phần (EPS)\nVNĐ', 'Thời gian thu tiền khách hàng bình quân\nNgày', 'Thời gian trả tiền khách hàng bình quân\nNgày']..., số giá trị độc nhất: 61
Industry:
['Phần mềm và dịch vụ']..., số giá trị độc nhất: 1
Stocks:
['FPT, ITD, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
Q1_2023:
['9.06', '1.28', '12.66', '2.93', '15.04', '15.78', '23,484', '64.17', '8.32', '-5.37', '-12.24', '13.50', '14.54', '-55.86', '-22.03', '6.79', '35.32', '4,612', '70.42', '41.79']..., số giá trị độc nhất: 60
Q1_2024:
['9.41', '1.01', '12.13', '4.24', '21.01', '17.81', '23,227', '63.70', '5.69', '-2.02', '-6.31', '17.03', '19.33', '57.97', '22.97', '9.67', '29.65', '4,751', '66.56', '40.01']..., số giá trị độc nhất: 59
Q2_2023:
['9.37', '1.66', '11.05', '3.06', '16.51', '18.77', '24,530', '65.87', '6.63', '0.00', '10.50', '13.40', '-53.92', '-0.29', '6.94', '27.03', '4,580', '65.68', '36.48', '27.56']..., số giá trị độc nhất: 58
Q2_2024:
['9.78', '0.99', '10.43', '5.34', '23.74', '21.48', '21,349', '66.19', '5.71', '0.00', '16.53', '20.32', '55.87', '2.97', '11.32', '29.90', '4,778', '65.77', '34.33', '20.55']..., số giá trị độc nhất: 58
Q3_2023:
['9.47', '1.77', '11.76', '3.78', '17.63', '20.17', '21,792', '64.30', '5.63', '0.00', '9.64', '24.55', '-51.89', '10.00', '7.43', '28.34', '4,627', '63.10', '33.41', '21.48']..., số giá trị độc nhất: 58
Q3_2024:
['9.06', '0.83', '10.28', '5.07', '24.03', '13.65', '22,889', '65.06', '6.09', '0.00', '20.36', '11.23', '46.82', '-3.25', '10.74', '30.35', '4,800', '63.71', '33.24', '21.67']..., số giá trị độc nhất: 57
Q4_2023:
['8.73', '1.34', '12.61', '3.74', '17.76', '10.26', '22,066', '64.79', '5.02', '0.00', '11.95', '6.26', '-35.37', '14.28', '7.58', '29.30', '4,683', '61.60', '33.16', '17.26']..., số giá trị độc nhất: 58
Q4_2024:
['9.47', '0.75', '9.82', '6.11', '26.69', '3.01', '23,820', '63.22', '4.11', '0.00', '23.52', '7.63', '-9.24', '3.20', '12.57', '25.86', '5,435', '56.55', '38.97', '15.33']..., số giá trị độc nhất: 58
Các bản ghi bị trùng:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv
financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
0 Chi phí bán hàng/Doanh thu thuần\n% Phần mềm FPT, CMG, ELC, PIA, 8.99 9.35 9.42 9.82 9.57 9.13 8.76 9.47
1 Chi phí lãi vay/ Doanh thu thuần\n% Phần mềm FPT, CMG, ELC, PIA, 1.22 0.97 1.63 0.97 1.76 0.82 1.32 0.75
2 Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n% Phần mềm FPT, CMG, ELC, PIA, 12.61 12.09 11.08 10.54 11.65 10.32 12.61 9.82
3 Chỉ số giá thị trường trên giá trị sổ sách (P/... Phần mềm FPT, CMG, ELC, PIA, 2.97 4.28 3.10 5.40 3.82 5.13 3.79 6.11
4 Chỉ số giá thị trường trên thu nhập (P/E)\nLần Phần mềm FPT, CMG, ELC, PIA, 14.99 20.84 16.42 23.54 17.50 24.01 17.59 26.69
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
56 Vòng quay tài sản cố định (Hiệu suất sử dụng t... Phần mềm FPT, CMG, ELC, PIA, 0.95 1.00 1.00 1.06 1.07 1.13 1.06 1.21
57 Vòng quay tổng tài sản (Hiệu suất sử dụng toàn... Phần mềm FPT, CMG, ELC, PIA, 0.23 0.23 0.21 0.24 0.23 0.24 0.24 0.24
58 Vòng quay vốn chủ sở hữu\nVòng Phần mềm FPT, CMG, ELC, PIA, 0.43 0.44 0.44 0.47 0.50 0.47 0.49 0.49
59 XDCBDD/Tài sản cố định\n% Phần mềm FPT, CMG, ELC, PIA, 14.07 14.13 17.59 14.23 13.91 14.63 13.10 18.60
60 Đầu tư tài chính ngắn hạn/Tài sản ngắn hạn\n% Phần mềm FPT, CMG, ELC, PIA, 43.61 45.81 49.33 45.99 46.44 43.24 41.68 46.92 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 61 entries, 0 to 60
Data columns (total 11 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   Indicator  61 non-null     object
 1   Industry   61 non-null     object
 2   Stocks     61 non-null     object
 3   Q1_2023    61 non-null     object
 4   Q1_2024    61 non-null     object
 5   Q2_2023    61 non-null     object
 6   Q2_2024    61 non-null     object
 7   Q3_2023    61 non-null     object
 8   Q3_2024    61 non-null     object
 9   Q4_2023    61 non-null     object
 10  Q4_2024    61 non-null     object
dtypes: object(11)
memory usage: 5.4+ KB
None
Số giá trị bị rỗng:
Indicator    0
Industry     0
Stocks       0
Q1_2023      0
Q1_2024      0
Q2_2023      0
Q2_2024      0
Q3_2023      0
Q3_2024      0
Q4_2023      0
Q4_2024      0
dtype: int64
Thống kê các giá trị:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024
count 61 61 61 61 61 61 61 61 61 61 61
unique 61 1 1 60 61 58 58 58 58 58 58
top Chi phí bán hàng/Doanh thu thuần\n% Phần mềm FPT, CMG, ELC, PIA, 14.07 9.35 0.00 0.00 0.00 0.00 0.00 0.00
freq 1 61 61 2 1 3 3 3 3 3 3 
Indicator    61
Industry      1
Stocks        1
Q1_2023      60
Q1_2024      61
Q2_2023      58
Q2_2024      58
Q3_2023      58
Q3_2024      58
Q4_2023      58
Q4_2024      58
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Indicator:
['Chi phí bán hàng/Doanh thu thuần\n%', 'Chi phí lãi vay/ Doanh thu thuần\n%', 'Chi phí quản lý doanh nghiệp/ Doanh thu thuần\n%', 'Chỉ số giá thị trường trên giá trị sổ sách (P/B)\nLần', 'Chỉ số giá thị trường trên thu nhập (P/E)\nLần', 'Doanh thu thuần\n%', 'Giá trị sổ sách của cổ phiếu (BVPS)\nVNĐ', 'Giá vốn hàng bán/Doanh thu thuần\n%', 'Hàng tồn kho/Tài sản ngắn hạn\n%', 'Khả năng chi trả Nợ ngắn hạn từ dòng tiền HĐKD\n%', 'Khả năng chi trả Nợ ngắn hạn từ lưu chuyển tiền thuần trong kỳ\n%', 'Khả năng thanh toán lãi vay\nLần', 'Lợi nhuận gộp\n%', 'Nợ dài hạn\n%', 'Nợ phải trả\n%', 'P/S\nLần', 'Phải thu ngắn hạn/Tài sản ngắn hạn\n%', 'Thu nhập trên mỗi cổ phần (EPS)\nVNĐ', 'Thời gian thu tiền khách hàng bình quân\nNgày', 'Thời gian trả tiền khách hàng bình quân\nNgày']..., số giá trị độc nhất: 61
Industry:
['Phần mềm']..., số giá trị độc nhất: 1
Stocks:
['FPT, CMG, ELC, PIA,']..., số giá trị độc nhất: 1
Q1_2023:
['8.99', '1.22', '12.61', '2.97', '14.99', '16.17', '23,725', '64.02', '7.79', '-5.57', '-12.47', '14.44', '14.07', '-56.32', '-23.71', '6.85', '34.50', '4,732', '67.50', '40.09']..., số giá trị độc nhất: 60
Q1_2024:
['9.35', '0.97', '12.09', '4.28', '20.84', '18.24', '23,481', '63.62', '5.28', '-2.01', '-6.22', '17.86', '19.56', '57.02', '24.40', '9.73', '29.31', '4,901', '65.40', '39.40']..., số giá trị độc nhất: 61
Q2_2023:
['9.42', '1.63', '11.08', '3.10', '16.42', '19.05', '24,804', '65.68', '6.16', '0.00', '10.79', '12.23', '-54.32', '-1.73', '7.07', '26.30', '4,706', '63.96', '35.24', '25.67']..., số giá trị độc nhất: 58
Q2_2024:
['9.82', '0.97', '10.54', '5.40', '23.54', '22.19', '21,525', '65.98', '5.06', '0.00', '16.88', '21.11', '52.11', '3.33', '11.49', '29.67', '4,921', '65.38', '33.83', '18.23']..., số giá trị độc nhất: 58
Q3_2023:
['9.57', '1.76', '11.65', '3.82', '17.50', '18.87', '21,999', '63.72', '5.22', '0.00', '10.04', '23.94', '-52.79', '8.40', '7.62', '27.64', '4,766', '61.61', '32.63', '20.18']..., số giá trị độc nhất: 58
Q3_2024:
['9.13', '0.82', '10.32', '5.13', '24.01', '14.45', '23,089', '64.74', '5.33', '0.00', '20.97', '11.25', '46.19', '-3.07', '10.96', '30.17', '4,907', '63.50', '32.99', '19.13']..., số giá trị độc nhất: 58
Q4_2023:
['8.76', '1.32', '12.61', '3.79', '17.59', '10.40', '22,277', '64.54', '4.61', '0.00', '12.29', '6.60', '-36.33', '15.31', '7.72', '28.83', '4,874', '60.51', '32.46', '15.91']..., số giá trị độc nhất: 58
Q4_2024:
['9.47', '0.75', '9.82', '6.11', '26.69', '5.25', '23,820', '63.22', '4.11', '0.00', '23.52', '9.19', '-7.09', '5.34', '12.57', '25.86', '5,435', '56.55', '38.97', '15.33']..., số giá trị độc nhất: 58
Các bản ghi bị trùng:
Indicator Industry Stocks Q1_2023 Q1_2024 Q2_2023 Q2_2024 Q3_2023 Q3_2024 Q4_2023 Q4_2024 
Accessing file: foreigner_matched_order_trading_statistics_processed.csv
foreigner_matched_order_trading_statistics_processed.csv
No Date StockID Foreign Room Foreign Ownership % Remaining Room Volume Remaining Room % Matched Buy Volume Matched Buy % Matched Sell Volume Matched Sell % Matched Buy Value Matched Buy Value % Matched Sell Value Matched Sell Value % Net Volume Net Value Exchange
0 1 12/03/2025 AAA 382,274,496 2.27 373,619,234 97.74 21,900 1.28 236,300 13.76 192 1.27 2,084 13.76 -214,400 -1,891 HOSE
1 2 12/03/2025 AAM 6,049,741 0.96 5,931,664 48.04 0 0.00 0 0.00 0 0.00 0 0.00 0 0 HOSE
2 3 12/03/2025 AAT 35,409,551 0.82 34,830,018 49.18 0 0.00 6,700 14.57 0 0.00 21 14.59 -6,700 -21 HOSE
3 4 12/03/2025 ABR 9,800,000 48.41 119,000 0.60 0 0.00 0 0.00 0 0.00 0 0.00 0 0 HOSE
4 5 12/03/2025 ABS 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0 HOSE
No Date StockID Foreign Room Foreign Ownership % Remaining Room Volume Remaining Room % Matched Buy Volume Matched Buy % Matched Sell Volume Matched Sell % Matched Buy Value Matched Buy Value % Matched Sell Value Matched Sell Value % Net Volume Net Value Exchange
1665 882 12/03/2025 XMD 1,960,000 0.03 1,958,800 48.97 0 0.00 0 0.00 0 0.00 0 0.00 0 0 UPCoM
1666 883 12/03/2025 XMP 7,500,000 0.22 7,466,500 49.78 0 0.00 0 0.00 0 0.00 0 0.00 0 0 UPCoM
1667 884 12/03/2025 XPH 6,356,512 0.15 6,336,612 48.85 0 0.00 0 0.00 0 0.00 0 0.00 0 0 UPCoM
1668 885 12/03/2025 YBC 5,782,000 0.03 5,779,000 48.97 0 0.00 0 0.00 0 0.00 0 0.00 0 0 UPCoM
1669 886 12/03/2025 YTC 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0 UPCoM 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1670 entries, 0 to 1669
Data columns (total 18 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   No                     1670 non-null   int64  
 1   Date                   1670 non-null   object 
 2   StockID                1670 non-null   object 
 3   Foreign Room           1670 non-null   object 
 4   Foreign Ownership %    1670 non-null   float64
 5   Remaining Room Volume  1670 non-null   object 
 6   Remaining Room %       1670 non-null   float64
 7   Matched Buy Volume     1670 non-null   object 
 8   Matched Buy %          1670 non-null   float64
 9   Matched Sell Volume    1670 non-null   object 
 10  Matched Sell %         1670 non-null   float64
 11  Matched Buy Value      1670 non-null   object 
 12  Matched Buy Value %    1670 non-null   float64
 13  Matched Sell Value     1670 non-null   object 
 14  Matched Sell Value %   1670 non-null   float64
 15  Net Volume             1670 non-null   object 
 16  Net Value              1670 non-null   object 
 17  Exchange               1670 non-null   object 
dtypes: float64(6), int64(1), object(11)
memory usage: 235.0+ KB
None
Số giá trị bị rỗng:
No                       0
Date                     0
StockID                  0
Foreign Room             0
Foreign Ownership %      0
Remaining Room Volume    0
Remaining Room %         0
Matched Buy Volume       0
Matched Buy %            0
Matched Sell Volume      0
Matched Sell %           0
Matched Buy Value        0
Matched Buy Value %      0
Matched Sell Value       0
Matched Sell Value %     0
Net Volume               0
Net Value                0
Exchange                 0
dtype: int64
Thống kê các giá trị:
No Foreign Ownership % Remaining Room % Matched Buy % Matched Sell % Matched Buy Value % Matched Sell Value %
count 1,670.00 1,670.00 1,670.00 1,670.00 1,670.00 1,670.00 1,670.00
mean 316.09 5.21 33.28 1.98 3.21 1.98 3.23
std 243.59 13.01 25.10 8.59 12.02 8.61 12.18
min 1.00 0.00 0.00 0.00 0.00 0.00 0.00
25% 120.00 0.00 0.00 0.00 0.00 0.00 0.00
50% 259.00 0.20 46.88 0.00 0.00 0.00 0.00
75% 468.75 2.35 48.97 0.00 0.00 0.00 0.00
max 886.00 98.52 144.00 100.00 100.00 100.30 118.80 
No                        886
Date                        1
StockID                  1610
Foreign Room             1013
Foreign Ownership %       536
Remaining Room Volume    1162
Remaining Room %          614
Matched Buy Volume        190
Matched Buy %             232
Matched Sell Volume       222
Matched Sell %            250
Matched Buy Value         209
Matched Buy Value %       232
Matched Sell Value        239
Matched Sell Value %      256
Net Volume                265
Net Value                 286
Exchange                    5
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
No:
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]..., số giá trị độc nhất: 886
Date:
['12/03/2025']..., số giá trị độc nhất: 1
StockID:
['AAA', 'AAM', 'AAT', 'ABR', 'ABS', 'ABT', 'ACB', 'ACC', 'ACG', 'ACL', 'ADG', 'ADP', 'ADS', 'AGG', 'AGM', 'AGR', 'ANV', 'APG', 'APH', 'ASG']..., số giá trị độc nhất: 1610
Foreign Room:
['382,274,496', '6,049,741', '35,409,551', '9,800,000', '0', '7,193,603', '1,339,997,373', '75,393,973', '19,832,876', '13,897,338', '23,039,850', '38,197,363', '81,264,040', '215,391,309', '130,667,075', '223,621,942', '243,884,268', '27,235,400', '181,387,342', '18,296,565']..., số giá trị độc nhất: 1013
Foreign Ownership %:
[2.27, 0.96, 0.82, 48.41, 0.0, 2.2, 30.0, 7.67, 38.55, 2.25, 46.09, 0.85, 0.14, 1.01, 0.56, 0.41, 0.74, 9.36, 28.13, 12.36]..., số giá trị độc nhất: 536
Remaining Room Volume:
['373,619,234', '5,931,664', '34,830,018', '119,000', '0', '6,876,828', '17,263,407', '18,703,317', '4,043,100', '22,844,410', '38,091,732', '79,625,750', '214,550,675', '128,703,029', '202,695,272', '175,282,925', '26,564,124', '135,648,242', '4,601', '2,346,919']..., số giá trị độc nhất: 1162
Remaining Room %:
[97.74, 48.04, 49.18, 0.6, 0.0, 47.8, 11.45, 37.29, 18.91, 99.15, 49.86, 48.99, 99.61, 48.26, 90.64, 71.87, 29.26, 36.64, 0.01, 5.22]..., số giá trị độc nhất: 614
Matched Buy Volume:
['21,900', '0', '200', '3,600', '36,800', '700', '800', '12,400', '4,800', '473,400', '69,500', '37,200', '12,300', '14,700', '502,200', '10,100', '100', '9,100', '101,000', '1,500']..., số giá trị độc nhất: 190
Matched Buy %:
[1.28, 0.0, 2.74, 5.33, 2.65, 0.06, 0.3, 1.34, 13.15, 12.96, 0.18, 0.55, 4.49, 3.57, 49.83, 12.66, 3.22, 0.09, 7.3, 11.2]..., số giá trị độc nhất: 232
Matched Sell Volume:
['236,300', '0', '6,700', '100', '5,300', '70,500', '19,600', '168,400', '46,000', '46,600', '189,600', '96,000', '232,800', '128,400', '1,335,200', '33,700', '1,200', '1,900', '370,100', '292,900']..., số giá trị độc nhất: 222
Matched Sell %:
[13.76, 0.0, 14.57, 1.37, 79.1, 0.15, 5.51, 1.41, 13.85, 17.02, 5.02, 5.19, 0.76, 28.12, 37.29, 33.65, 10.75, 1.09, 1.52, 41.04]..., số giá trị độc nhất: 250
Matched Buy Value:
['192', '0', '10', '33', '684', '12', '6', '101', '275', '16,091', '2', '280', '3,004', '519', '540', '20,575', '269', '1,116', '5,721', '29']..., số giá trị độc nhất: 209
Matched Buy Value %:
[1.27, 0.0, 2.73, 5.31, 2.65, 0.06, 0.3, 1.34, 13.12, 12.97, 0.18, 0.55, 4.49, 3.58, 50.11, 12.65, 3.28, 0.09, 7.28, 11.18]..., số giá trị độc nhất: 232
Matched Sell Value:
['2,084', '0', '21', '5', '53', '1', '1,273', '364', '2,927', '331', '379', '6,436', '396', '18,836', '5,407', '54,812', '889', '25', '234', '21,004']..., số giá trị độc nhất: 239
Matched Sell Value %:
[13.76, 0.0, 14.59, 1.37, 78.64, 0.15, 5.53, 1.41, 13.87, 17.02, 5.04, 5.19, 0.77, 28.16, 37.32, 33.7, 10.84, 1.1, 1.53, 41.03]..., số giá trị độc nhất: 256
Net Volume:
['-214,400', '0', '-6,700', '100', '-5,300', '3,500', '-70,500', '17,200', '-167,700', '-45,200', '-34,200', '4,800', '283,800', '200', '-26,500', '-195,600', '-116,100', '14,700', '-833,000', '-23,600']..., số giá trị độc nhất: 265
Net Value:
['-1,891', '0', '-21', '5', '-53', '32', '-1,273', '320', '-2,915', '-326', '-279', '275', '9,655', '2', '-115', '-15,832', '-4,888', '540', '-34,236', '-621']..., số giá trị độc nhất: 286
Exchange:
['HOSE', 'HNX', 'VN30', 'HNX30', 'UPCoM']..., số giá trị độc nhất: 5
Các bản ghi bị trùng:
No Date StockID Foreign Room Foreign Ownership % Remaining Room Volume Remaining Room % Matched Buy Volume Matched Buy % Matched Sell Volume Matched Sell % Matched Buy Value Matched Buy Value % Matched Sell Value Matched Sell Value % Net Volume Net Value Exchange 
Accessing file: industries_cashflow_processed.csv
industries_cashflow_processed.csv
Period Industry Industry Level Cash Flow
0 2024-12-27 Bán lẻ sản phẩm đặc thù Ngành cấp 3 3.48%
1 2024-12-28 Bán lẻ sản phẩm đặc thù Ngành cấp 3 3.48%
2 2024-12-29 Bán lẻ sản phẩm đặc thù Ngành cấp 3 3.48%
3 2024-12-30 Bán lẻ sản phẩm đặc thù Ngành cấp 3 3.48%
4 2024-12-31 Bán lẻ sản phẩm đặc thù Ngành cấp 3 4.12%
Period Industry Industry Level Cash Flow
6835 2025-03-08 Đồ uống Ngành cấp 3 0.23%
6836 2025-03-09 Đồ uống Ngành cấp 3 0.23%
6837 2025-03-10 Đồ uống Ngành cấp 3 0.23%
6838 2025-03-11 Đồ uống Ngành cấp 3 0.23%
6839 2025-03-12 Đồ uống Ngành cấp 3 0.36% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 6840 entries, 0 to 6839
Data columns (total 4 columns):
 #   Column          Non-Null Count  Dtype 
---  ------          --------------  ----- 
 0   Period          6840 non-null   object
 1   Industry        6840 non-null   object
 2   Industry Level  6840 non-null   object
 3   Cash Flow       6840 non-null   object
dtypes: object(4)
memory usage: 213.9+ KB
None
Số giá trị bị rỗng:
Period            0
Industry          0
Industry Level    0
Cash Flow         0
dtype: int64
Thống kê các giá trị:
Period Industry Industry Level Cash Flow
count 6840 6840 6840 6840
unique 76 83 3 444
top 2024-12-27 Nguyên vật liệu Ngành cấp 3 0.00%
freq 90 152 4256 642 
Period             76
Industry           83
Industry Level      3
Cash Flow         444
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Period:
['2024-12-27', '2024-12-28', '2024-12-29', '2024-12-30', '2024-12-31', '2025-01-01', '2025-01-02', '2025-01-03', '2025-01-04', '2025-01-05', '2025-01-06', '2025-01-07', '2025-01-08', '2025-01-09', '2025-01-10', '2025-01-11', '2025-01-12', '2025-01-13', '2025-01-14', '2025-01-15']..., số giá trị độc nhất: 76
Industry:
['Bán lẻ sản phẩm đặc thù', 'Bảo hiểm', 'Bất động sản', 'Bất động sản bán lẻ', 'Bất động sản công nghiệp', 'Bất động sản dân cư', 'Chăm sóc sức khỏe', 'Chất bán dẫn và thiết bị bán dẫn', 'Container và bao bì', 'Công nghiệp', 'Công nghệ phần cứng và thiết bị', 'Công nghệ phần cứng, lưu trữ và thiết bị ngoại vi', 'Công nghệ thông tin', 'Công ty thương mại và nhà phân phối', 'Cơ sở hạ tầng giao thông', 'Dược phẩm', 'Dược phẩm, Công nghệ sinh học và Khoa học thường thức', 'Dầu, khí đốt và nhiêu liệu tiêu hao', 'Dệt, may mặc và hàng xa xỉ', 'Dịch vụ chuyên biệt']..., số giá trị độc nhất: 83
Industry Level:
['Ngành cấp 3', 'Ngành cấp 2', 'Ngành cấp 1']..., số giá trị độc nhất: 3
Cash Flow:
['3.48%', '4.12%', '4.50%', '3.24%', '3.18%', '4.01%', '3.49%', '3.95%', '3.14%', '2.60%', '2.86%', '3.34%', '0.54%', '0.46%', '0.63%', '0.49%', '0.44%', '0.37%', '0.32%', '0.52%']..., số giá trị độc nhất: 444
Các bản ghi bị trùng:
Period Industry Industry Level Cash Flow 
Accessing file: industries_performance_processed.csv
industries_performance_processed.csv
Ngành Today 1W 1M 6M YTD 1Y 5Y 10Y
0 Năng lượng 0.59% -3.33% -1.50% -2.33% -8.07% 20.98% 897.71% 285.11%
1 Nguyên vật liệu -0.71% -0.48% 7.07% 13.24% 10.55% 17.51% 287.99% 554.80%
2 Công nghiệp 0.29% 0.56% -1.24% 24.29% 3.68% 78.70% 549.19% 2,596.12%
3 Tiêu dùng không thiết yếu -0.35% 0.98% 6.09% 3.77% 7.98% 28.99% 173.63% 308.63%
4 Tiêu dùng thiết yếu 0.18% -1.00% -0.11% 13.26% -3.39% 33.38% 165.69% 361.33%
Ngành Today 1W 1M 6M YTD 1Y 5Y 10Y
85 Nước -0.36% -0.77% 0.14% 15.05% 5.21% 43.02% 389.77% 2,282.31%
86 Quản lý và phát triển bất động sản 0.12% -0.20% 0.02% 1.59% 1.25% 5.18% 143.07% 919.11%
87 Bất động sản công nghiệp 0.20% 2.61% 11.07% 15.21% 10.95% 14.97% 693.07% 2,756.09%
88 Bất động sản dân cư 1.86% 7.89% 15.46% 9.21% 12.21% 8.17% 0.16% 181.64%
89 Bất động sản bán lẻ 0% 2.81% 10.97% -4.71% 6.13% -25.72% -30.00% NaN 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 90 entries, 0 to 89
Data columns (total 9 columns):
 #   Column  Non-Null Count  Dtype 
---  ------  --------------  ----- 
 0   Ngành   90 non-null     object
 1   Today   90 non-null     object
 2   1W      90 non-null     object
 3   1M      90 non-null     object
 4   6M      89 non-null     object
 5   YTD     90 non-null     object
 6   1Y      89 non-null     object
 7   5Y      89 non-null     object
 8   10Y     83 non-null     object
dtypes: object(9)
memory usage: 6.5+ KB
None
Số giá trị bị rỗng:
Ngành    0
Today    0
1W       0
1M       0
6M       1
YTD      0
1Y       1
5Y       1
10Y      7
dtype: int64
Thống kê các giá trị:
Ngành Today 1W 1M 6M YTD 1Y 5Y 10Y
count 90 90 90 90 89 90 89 89 83
unique 83 67 78 81 80 82 81 81 75
top Năng lượng 0% -3.33% -1.50% -2.33% -8.07% 20.98% 897.71% 285.11%
freq 2 7 2 2 2 2 2 2 2 
Ngành    83
Today    67
1W       78
1M       81
6M       80
YTD      82
1Y       81
5Y       81
10Y      75
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngành:
['Năng lượng', 'Nguyên vật liệu', 'Công nghiệp', 'Tiêu dùng không thiết yếu', 'Tiêu dùng thiết yếu', 'Chăm sóc sức khỏe', 'Tài chính', 'Công nghệ thông tin', 'Dịch vụ viễn thông', 'Dịch vụ tiện ích', 'Bất động sản', 'Tư liệu sản xuất', 'Dịch vụ chuyên biệt và thương mại', 'Vận tải', 'Xe và linh kiện', 'Hàng tiêu dùng và trang trí', 'Dịch vụ tiêu dùng', 'Phân phối và bán lẻ hàng lâu bền', 'Thực phẩm, đồ uống và thuốc lá', 'Đồ gia dụng và cá nhân']..., số giá trị độc nhất: 83
Today:
['0.59%', '-0.71%', '0.29%', '-0.35%', '0.18%', '0.38%', '0.47%', '-0.66%', '-0.22%', '0.43%', '1.43%', '-0.05%', '-0.31%', '0.44%', '0.39%', '0.85%', '0.07%', '-0.85%', '-0.03%', '0.99%']..., số giá trị độc nhất: 67
1W:
['-3.33%', '-0.48%', '0.56%', '0.98%', '-1.00%', '0.31%', '2.71%', '-2.46%', '-2.68%', '-0.60%', '6.48%', '0.03%', '1.38%', '0.71%', '-2.53%', '2.59%', '-0.72%', '0.50%', '-0.99%', '1.67%']..., số giá trị độc nhất: 78
1M:
['-1.50%', '7.07%', '-1.24%', '6.09%', '-0.11%', '0.59%', '5.42%', '-5.96%', '-2.53%', '1.22%', '14.12%', '5.30%', '15.27%', '-4.30%', '-1.27%', '11.99%', '0.89%', '4.27%', '-0.10%', '0.20%']..., số giá trị độc nhất: 81
6M:
['-2.33%', '13.24%', '24.29%', '3.77%', '13.26%', '6.11%', '14.68%', '4.81%', '23.30%', '-4.25%', '9.48%', '21.70%', '5.19%', '26.89%', '-0.48%', '26.34%', '17.44%', '-3.55%', '13.84%', '-3.22%']..., số giá trị độc nhất: 81
YTD:
['-8.07%', '10.55%', '3.68%', '7.98%', '-3.39%', '2.41%', '8.81%', '-10.44%', '-9.35%', '1.39%', '11.49%', '10.19%', '14.73%', '0.89%', '0.76%', '18.39%', '0.86%', '4.74%', '-3.34%', '1.45%']..., số giá trị độc nhất: 82
1Y:
['20.98%', '17.51%', '78.70%', '28.99%', '33.38%', '28.20%', '16.52%', '43.41%', '161.36%', '0.25%', '7.26%', '31.69%', '93.71%', '101.13%', '-12.19%', '46.76%', '7.70%', '25.09%', '34.09%', '10.49%']..., số giá trị độc nhất: 82
5Y:
['897.71%', '287.99%', '549.19%', '173.63%', '165.69%', '177.70%', '179.76%', '505.98%', '1,174.31%', '166.18%', '22.99%', '284.87%', '2,222.23%', '650.74%', '-14.52%', '248.75%', '27.90%', '170.30%', '166.81%', '136.18%']..., số giá trị độc nhất: 82
10Y:
['285.11%', '554.80%', '2,596.12%', '308.63%', '361.33%', '435.39%', '426.99%', '1,354.64%', '5,566.96%', '271.43%', '223.96%', '800.06%', '6,769.02%', '3,153.48%', '-39.01%', '752.30%', '32.96%', '269.10%', '361.92%', '564.02%']..., số giá trị độc nhất: 76
Các bản ghi bị trùng:
Ngành Today 1W 1M 6M YTD 1Y 5Y 10Y
11 Năng lượng 0.59% -3.33% -1.50% -2.33% -8.07% 20.98% 897.71% 285.11%
12 Nguyên vật liệu -0.71% -0.48% 7.07% 13.24% 10.55% 17.51% 287.99% 554.80%
32 Dịch vụ tiện ích 0.43% -0.60% 1.22% -4.25% 1.39% 0.25% 166.18% 271.43%
71 Bảo hiểm 0.12% -1.66% 2.55% 29.70% 8.21% 33.98% 157.25% 331.00%
76 Chất bán dẫn và thiết bị bán dẫn 0% 0% 10.20% 9.05% 6.58% -7.90% 802.93% 1,738.08% 
Accessing file: prediction_CMG_bctc.csv
prediction_CMG_bctc.csv
Date prediction_CMG_bctc
0 2023-01-12 31,691.02
1 2023-01-13 31,687.28
2 2023-01-16 31,664.80
3 2023-01-17 31,664.80
4 2023-01-18 32,059.77
Date prediction_CMG_bctc
487 2024-12-25 51,255.24
488 2024-12-26 51,255.24
489 2024-12-27 49,912.06
490 2024-12-30 49,912.06
491 2024-12-31 49,912.06 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 492 entries, 0 to 491
Data columns (total 2 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Date                 492 non-null    object 
 1   prediction_CMG_bctc  492 non-null    float64
dtypes: float64(1), object(1)
memory usage: 7.8+ KB
None
Số giá trị bị rỗng:
Date                   0
prediction_CMG_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_bctc
count 492.00
mean 41,042.15
std 6,881.79
min 31,664.80
25% 35,898.96
50% 38,684.38
75% 48,865.44
max 51,306.21 
Date                   492
prediction_CMG_bctc    215
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2023-01-12', '2023-01-13', '2023-01-16', '2023-01-17', '2023-01-18', '2023-01-19', '2023-01-27', '2023-01-30', '2023-01-31', '2023-02-01', '2023-02-02', '2023-02-03', '2023-02-06', '2023-02-07', '2023-02-08', '2023-02-09', '2023-02-10', '2023-02-13', '2023-02-14', '2023-02-15']..., số giá trị độc nhất: 492
prediction_CMG_bctc:
[31691.02210223359, 31687.283002712877, 31664.79769262038, 32059.76739071032, 32165.42842749107, 33082.786489533966, 33203.3664529299, 32884.48509838263, 33062.784286322014, 32889.051499696, 32729.49474456649, 32631.153359199623, 32452.85417126024, 32291.08273894128, 32293.361698122164, 32471.660886061534, 32522.20220555752, 31763.55917817004, 32015.621005889912, 31803.46796933564]..., số giá trị độc nhất: 215
Các bản ghi bị trùng:
Date prediction_CMG_bctc 
Accessing file: prediction_CMG_market.csv
prediction_CMG_market.csv
Date prediction_CMG_market
0 2024-03-22 38,785.82
1 2024-03-25 38,713.03
2 2024-03-26 38,783.49
3 2024-03-27 38,719.68
4 2024-03-28 38,941.67
Date prediction_CMG_market
237 2025-03-06 43,374.96
238 2025-03-07 43,337.43
239 2025-03-10 43,264.80
240 2025-03-11 43,041.64
241 2025-03-12 42,000.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 242 entries, 0 to 241
Data columns (total 2 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Date                   242 non-null    object 
 1   prediction_CMG_market  242 non-null    float64
dtypes: float64(1), object(1)
memory usage: 3.9+ KB
None
Số giá trị bị rỗng:
Date                     0
prediction_CMG_market    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_market
count 242.00
mean 47,384.42
std 5,527.41
min 38,592.90
25% 43,750.34
50% 45,786.01
75% 49,931.66
max 60,690.67 
Date                     242
prediction_CMG_market    240
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2024-03-22', '2024-03-25', '2024-03-26', '2024-03-27', '2024-03-28', '2024-03-29', '2024-04-01', '2024-04-02', '2024-04-03', '2024-04-04', '2024-04-05', '2024-04-08', '2024-04-09', '2024-04-10', '2024-04-11', '2024-04-12', '2024-04-15', '2024-04-16', '2024-04-17', '2024-04-19']..., số giá trị độc nhất: 242
prediction_CMG_market:
[38785.82421949801, 38713.03209015034, 38783.48943121989, 38719.67724416648, 38941.66941395765, 38741.34336509788, 38592.90349846667, 39991.46402564617, 40471.236225831846, 40562.83205027087, 40394.858767940335, 43055.32934801685, 43495.20812864155, 43443.468835689935, 44729.6564445988, 42341.0635570966, 41705.6560556322, 39431.30937033029, 39022.59853310349, 39490.45993710206]..., số giá trị độc nhất: 240
Các bản ghi bị trùng:
Date prediction_CMG_market 
Accessing file: prediction_FPT_bctc.csv
prediction_FPT_bctc.csv
Date prediction_FPT_bctc
0 2023-01-12 58,933.42
1 2023-01-13 58,433.20
2 2023-01-16 58,928.64
3 2023-01-17 59,673.84
4 2023-01-18 60,750.73
Date prediction_FPT_bctc
487 2024-12-25 106,214.87
488 2024-12-26 106,121.79
489 2024-12-27 106,115.48
490 2024-12-30 106,121.79
491 2024-12-31 106,192.69 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 492 entries, 0 to 491
Data columns (total 2 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Date                 492 non-null    object 
 1   prediction_FPT_bctc  492 non-null    float64
dtypes: float64(1), object(1)
memory usage: 7.8+ KB
None
Số giá trị bị rỗng:
Date                   0
prediction_FPT_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_bctc
count 492.00
mean 90,087.73
std 19,286.99
min 56,867.73
25% 68,762.85
50% 95,984.29
75% 106,379.19
max 112,644.38 
Date                   492
prediction_FPT_bctc    385
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2023-01-12', '2023-01-13', '2023-01-16', '2023-01-17', '2023-01-18', '2023-01-19', '2023-01-27', '2023-01-30', '2023-01-31', '2023-02-01', '2023-02-02', '2023-02-03', '2023-02-06', '2023-02-07', '2023-02-08', '2023-02-09', '2023-02-10', '2023-02-13', '2023-02-14', '2023-02-15']..., số giá trị độc nhất: 492
prediction_FPT_bctc:
[58933.418, 58433.203, 58928.645, 59673.836, 60750.73, 60916.79, 60930.81, 60787.57, 60729.094, 59624.78, 59579.145, 58379.848, 58826.22, 58953.387, 59133.402, 58925.348, 58938.566, 59678.984, 59660.797, 59656.348]..., số giá trị độc nhất: 385
Các bản ghi bị trùng:
Date prediction_FPT_bctc 
Accessing file: prediction_FPT_market.csv
prediction_FPT_market.csv
Date prediction_FPT_market
0 2024-03-22 102,364.91
1 2024-03-25 102,364.91
2 2024-03-26 101,448.35
3 2024-03-27 102,364.91
4 2024-03-28 102,222.91
Date prediction_FPT_market
237 2025-03-06 137,496.53
238 2025-03-07 137,496.53
239 2025-03-10 137,496.53
240 2025-03-11 137,496.53
241 2025-03-12 137,496.53 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 242 entries, 0 to 241
Data columns (total 2 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Date                   242 non-null    object 
 1   prediction_FPT_market  242 non-null    float64
dtypes: float64(1), object(1)
memory usage: 3.9+ KB
None
Số giá trị bị rỗng:
Date                     0
prediction_FPT_market    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_market
count 242.00
mean 128,845.17
std 11,630.44
min 100,112.28
25% 127,627.96
50% 134,026.63
75% 137,496.53
max 137,643.98 
Date                     242
prediction_FPT_market    110
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2024-03-22', '2024-03-25', '2024-03-26', '2024-03-27', '2024-03-28', '2024-03-29', '2024-04-01', '2024-04-02', '2024-04-03', '2024-04-04', '2024-04-05', '2024-04-08', '2024-04-09', '2024-04-10', '2024-04-11', '2024-04-12', '2024-04-15', '2024-04-16', '2024-04-17', '2024-04-19']..., số giá trị độc nhất: 242
prediction_FPT_market:
[102364.914, 101448.35, 102222.914, 103004.69, 101195.49, 101395.98, 100496.65, 100112.28, 100549.02, 103182.51, 105880.4, 106352.57, 111537.71, 111065.54, 114489.555, 114627.94, 115217.734, 115571.586, 115778.53, 116737.56]..., số giá trị độc nhất: 110
Các bản ghi bị trùng:
Date prediction_FPT_market
In [4]:
for key, value in data.items():
  print(key, value.shape)

CMG_financial_data_processed.csv (17, 80)
CMG_foreign_detail_transactions_processed.csv (250, 17)
CMG_full_period_trans_statistics_processed.csv (5, 40)
CMG_news_features.csv (715, 13)
CMG_pricefluctuation_avgtransamount_processed.csv (19, 4)
Dữ liệu Lịch sử CMG.csv (544, 7)
Dữ liệu Lịch sử FPT.csv (544, 7)
FPT_financial_data_processed.csv (17, 96)
FPT_foreign_detail_transactions_processed.csv (250, 17)
FPT_full_period_trans_statistics_processed.csv (5, 40)
FPT_news_features.csv (713, 13)
FPT_pricefluctuation_avgtransamount_processed.csv (19, 4)
TARGET CMG_detail_transactions_processed.csv (250, 10)
TARGET FPT_detail_transactions_processed.csv (240, 10)
VN Index.csv (250, 7)
all_stock_orders_statistics_processed.csv (1670, 17)
all_stock_prices_statistics_processed.csv (1411, 19)
cafef_foreign_details_12-03-2024_to_12-03-2025.csv (489267, 16)
detail_industry_cashflow_processed.csv (7, 1171)
detail_industry_performance_processed.csv (7, 1171)
financialreport_balancesheet_FPT_CMG_processed.csv (272, 16)
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv (178, 18)
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv (156, 18)
financialreport_balancesheet_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv (155, 18)
financialreport_metrics_FPT_CMG_processed.csv (137, 10)
financialreport_metrics_Nhóm ngành_Công nghệ thông tin (of FPT_CMG)_processed.csv (61, 11)
financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ (of FPT_CMG)_processed.csv (61, 11)
financialreport_metrics_Nhóm ngành_Công nghệ thông tin_Phần mềm và dịch vụ_Phần mềm (of FPT_CMG)_processed.csv (61, 11)
foreigner_matched_order_trading_statistics_processed.csv (1670, 18)
industries_cashflow_processed.csv (6840, 4)
industries_performance_processed.csv (90, 9)
prediction_CMG_bctc.csv (492, 2)
prediction_CMG_market.csv (242, 2)
prediction_FPT_bctc.csv (492, 2)
prediction_FPT_market.csv (242, 2)

Ở phần này, nhóm sẽ dùng các file dữ liệu sau:

  • Dữ liệu Lịch sử CMG.csv
  • Dữ liệu Lịch sử FPT.csv
  • FPT_news_features.csv
  • CMG_news_features.csv
  • prediction_CMG_bctc.csv
  • prediction_CMG_market.csv
  • prediction_FPT_bctc.csv
  • prediction_FPT_market.csv
In [5]:
file_list = [
    "Dữ liệu Lịch sử CMG.csv",
    "Dữ liệu Lịch sử FPT.csv",
    "FPT_news_features.csv",
    "CMG_news_features.csv",
    "prediction_CMG_bctc.csv",
    "prediction_CMG_market.csv",
    "prediction_FPT_bctc.csv",
    "prediction_FPT_market.csv"
]
# Xóa các file không dùng đến
data = {k: v for k, v in data.items() if k in file_list}
# Kiểm tra lại
for key, value in data.items():
  print(key, value.shape)

CMG_news_features.csv (715, 13)
Dữ liệu Lịch sử CMG.csv (544, 7)
Dữ liệu Lịch sử FPT.csv (544, 7)
FPT_news_features.csv (713, 13)
prediction_CMG_bctc.csv (492, 2)
prediction_CMG_market.csv (242, 2)
prediction_FPT_bctc.csv (492, 2)
prediction_FPT_market.csv (242, 2)
In [6]:
for key, value in data.items():
    basic_stats(value,key)

CMG_news_features.csv
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
0 2023-03-14 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 78,000.00 1.00
1 2023-03-15 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -133,200.00 1.00
2 2023-03-16 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
3 2023-03-17 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
4 2023-03-18 1.00 120.00 1,529.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
710 2025-02-21 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
711 2025-02-22 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
712 2025-02-23 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
713 2025-02-24 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
714 2025-02-25 1.00 110.00 1,593.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 715 entries, 0 to 714
Data columns (total 13 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Unnamed: 0             715 non-null    object 
 1   news_count             715 non-null    float64
 2   news_avg_title_len     715 non-null    float64
 3   news_avg_summary_len   715 non-null    float64
 4   news_total_pos_kw      715 non-null    float64
 5   news_total_neg_kw      715 non-null    float64
 6   news_llm_sentiment     715 non-null    float64
 7   div_event_count        715 non-null    float64
 8   div_total_vnd          715 non-null    float64
 9   div_total_bonus_ratio  715 non-null    float64
 10  it_event_count         715 non-null    float64
 11  it_total_executed_vol  715 non-null    float64
 12  meeting_event_count    715 non-null    float64
dtypes: float64(12), object(1)
memory usage: 72.7+ KB
None
Số giá trị bị rỗng:
Unnamed: 0               0
news_count               0
news_avg_title_len       0
news_avg_summary_len     0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00
mean 1.00 116.31 1,552.63 0.00 0.00 0.00 1.75 224.06 13.77 1.16 -91,583.47 1.00
std 0.00 4.83 30.91 0.00 0.00 0.05 0.97 290.43 6.06 0.46 545,212.93 0.00
min 1.00 110.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00
25% 1.00 110.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00
50% 1.00 120.00 1,529.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00
75% 1.00 120.00 1,593.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00
max 1.00 120.00 1,593.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 
Unnamed: 0               715
news_count                 1
news_avg_title_len         2
news_avg_summary_len       2
news_total_pos_kw          1
news_total_neg_kw          1
news_llm_sentiment         2
div_event_count            2
div_total_vnd              2
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     24
meeting_event_count        1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Unnamed: 0:
['2023-03-14', '2023-03-15', '2023-03-16', '2023-03-17', '2023-03-18', '2023-03-19', '2023-03-20', '2023-03-21', '2023-03-22', '2023-03-23', '2023-03-24', '2023-03-25', '2023-03-26', '2023-03-27', '2023-03-28', '2023-03-29', '2023-03-30', '2023-03-31', '2023-04-01', '2023-04-02']..., số giá trị độc nhất: 715
news_count:
[1.0]..., số giá trị độc nhất: 1
news_avg_title_len:
[120.0, 110.0]..., số giá trị độc nhất: 2
news_avg_summary_len:
[1529.0, 1593.0]..., số giá trị độc nhất: 2
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count 
Dữ liệu Lịch sử CMG.csv
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
0 12/03/2025 42,250.0 43,100.0 43,350.0 42,250.0 1.81M -1.97%
1 11/03/2025 43,100.0 43,050.0 43,300.0 42,950.0 1.60M -1.93%
2 10/03/2025 43,950.0 44,500.0 44,500.0 43,900.0 910.00K -0.90%
3 07/03/2025 44,350.0 44,800.0 44,850.0 44,300.0 596.20K -0.56%
4 06/03/2025 44,600.0 44,150.0 44,800.0 44,000.0 1.05M 1.36%
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
539 09/01/2023 28,398.0 29,037.0 29,037.0 27,546.0 109.96K -2.32%
540 06/01/2023 29,073.0 29,463.0 29,463.0 28,185.0 55.89K -0.61%
541 05/01/2023 29,250.0 29,073.0 29,250.0 28,540.0 87.97K 0.24%
542 04/01/2023 29,179.0 29,783.0 29,783.0 27,404.0 57.01K -0.96%
543 03/01/2023 29,463.0 27,688.0 29,463.0 27,688.0 104.92K 3.75% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 544 entries, 0 to 543
Data columns (total 7 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   Ngày        544 non-null    object
 1   Lần cuối    544 non-null    object
 2   Mở          544 non-null    object
 3   Cao         544 non-null    object
 4   Thấp        544 non-null    object
 5   KL          544 non-null    object
 6   % Thay đổi  544 non-null    object
dtypes: object(7)
memory usage: 29.9+ KB
None
Số giá trị bị rỗng:
Ngày          0
Lần cuối      0
Mở            0
Cao           0
Thấp          0
KL            0
% Thay đổi    0
dtype: int64
Thống kê các giá trị:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
count 544 544 544 544 544 544 544
unique 544 324 320 298 303 498 325
top 12/03/2025 29,463.0 34,433.0 29,747.0 32,658.0 1.16M 0.00%
freq 1 7 8 9 10 4 35 
Ngày          544
Lần cuối      324
Mở            320
Cao           298
Thấp          303
KL            498
% Thay đổi    325
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngày:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 544
Lần cuối:
['42,250.0', '43,100.0', '43,950.0', '44,350.0', '44,600.0', '44,000.0', '44,150.0', '44,400.0', '44,450.0', '44,200.0', '44,700.0', '44,900.0', '45,250.0', '44,550.0', '45,000.0', '45,350.0', '44,650.0', '44,050.0', '44,950.0', '45,200.0']..., số giá trị độc nhất: 324
Mở:
['43,100.0', '43,050.0', '44,500.0', '44,800.0', '44,150.0', '44,400.0', '44,450.0', '44,900.0', '44,250.0', '44,300.0', '44,700.0', '45,000.0', '45,350.0', '44,650.0', '44,600.0', '45,600.0', '45,500.0', '44,950.0', '45,200.0', '46,000.0']..., số giá trị độc nhất: 320
Cao:
['43,350.0', '43,300.0', '44,500.0', '44,850.0', '44,800.0', '44,650.0', '44,250.0', '44,900.0', '45,000.0', '44,600.0', '44,700.0', '45,450.0', '45,300.0', '45,600.0', '45,500.0', '45,750.0', '44,950.0', '46,100.0', '46,000.0', '45,550.0']..., số giá trị độc nhất: 298
Thấp:
['42,250.0', '42,950.0', '43,900.0', '44,300.0', '44,000.0', '43,850.0', '44,250.0', '44,200.0', '44,550.0', '44,850.0', '44,500.0', '45,000.0', '44,800.0', '44,150.0', '44,050.0', '44,950.0', '45,350.0', '45,050.0', '46,900.0', '46,800.0']..., số giá trị độc nhất: 303
KL:
['1.81M', '1.60M', '910.00K', '596.20K', '1.05M', '644.90K', '1.09M', '646.40K', '793.90K', '526.30K', '952.60K', '939.90K', '1.67M', '880.00K', '676.70K', '1.06M', '590.50K', '917.40K', '811.20K', '564.50K']..., số giá trị độc nhất: 498
% Thay đổi:
['-1.97%', '-1.93%', '-0.90%', '-0.56%', '1.36%', '-0.34%', '-0.45%', '-0.11%', '0.90%', '0.11%', '-1.23%', '-0.77%', '1.46%', '-1.00%', '-0.55%', '-0.22%', '1.57%', '-2.00%', '-1.31%', '0.88%']..., số giá trị độc nhất: 325
Các bản ghi bị trùng:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi 
Dữ liệu Lịch sử FPT.csv
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
0 12/03/2025 135,900.0 137,700.0 138,700.0 135,900.0 6.19M -1.16%
1 11/03/2025 137,500.0 138,000.0 138,500.0 137,000.0 5.78M -1.29%
2 10/03/2025 139,300.0 141,500.0 141,500.0 139,200.0 5.32M -1.49%
3 07/03/2025 141,400.0 141,700.0 142,700.0 141,100.0 2.95M -0.14%
4 06/03/2025 141,600.0 139,500.0 143,500.0 139,500.0 6.42M 1.80%
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
539 09/01/2023 58,654.0 58,801.0 59,093.0 58,362.0 686.25K 0.00%
540 06/01/2023 58,654.0 58,728.0 59,239.0 58,581.0 951.41K -0.37%
541 05/01/2023 58,874.0 58,581.0 59,531.0 58,581.0 1.34M 0.75%
542 04/01/2023 58,435.0 59,020.0 59,166.0 57,924.0 1.05M 0.00%
543 03/01/2023 58,435.0 56,171.0 58,435.0 56,098.0 2.03M 4.03% 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 544 entries, 0 to 543
Data columns (total 7 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   Ngày        544 non-null    object
 1   Lần cuối    544 non-null    object
 2   Mở          544 non-null    object
 3   Cao         544 non-null    object
 4   Thấp        544 non-null    object
 5   KL          544 non-null    object
 6   % Thay đổi  544 non-null    object
dtypes: object(7)
memory usage: 29.9+ KB
None
Số giá trị bị rỗng:
Ngày          0
Lần cuối      0
Mở            0
Cao           0
Thấp          0
KL            0
% Thay đổi    0
dtype: int64
Thống kê các giá trị:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi
count 544 544 544 544 544 544 544
unique 544 368 361 368 365 386 293
top 12/03/2025 58,654.0 58,435.0 58,801.0 81,807.0 1.31M 0.00%
freq 1 7 6 6 6 4 29 
Ngày          544
Lần cuối      368
Mở            361
Cao           368
Thấp          365
KL            386
% Thay đổi    293
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Ngày:
['12/03/2025', '11/03/2025', '10/03/2025', '07/03/2025', '06/03/2025', '05/03/2025', '04/03/2025', '03/03/2025', '28/02/2025', '27/02/2025', '26/02/2025', '25/02/2025', '24/02/2025', '21/02/2025', '20/02/2025', '19/02/2025', '18/02/2025', '17/02/2025', '14/02/2025', '13/02/2025']..., số giá trị độc nhất: 544
Lần cuối:
['135,900.0', '137,500.0', '139,300.0', '141,400.0', '141,600.0', '139,100.0', '140,000.0', '140,500.0', '140,300.0', '141,300.0', '141,800.0', '139,000.0', '142,000.0', '143,000.0', '144,000.0', '143,900.0', '143,600.0', '144,900.0', '143,100.0', '145,000.0']..., số giá trị độc nhất: 368
Mở:
['137,700.0', '138,000.0', '141,500.0', '141,700.0', '139,500.0', '140,000.0', '140,500.0', '140,100.0', '142,000.0', '139,100.0', '140,400.0', '142,800.0', '144,200.0', '143,900.0', '143,800.0', '145,000.0', '144,000.0', '145,600.0', '142,200.0', '145,500.0']..., số giá trị độc nhất: 361
Cao:
['138,700.0', '138,500.0', '141,500.0', '142,700.0', '143,500.0', '140,100.0', '140,600.0', '141,400.0', '141,100.0', '142,200.0', '141,800.0', '140,400.0', '142,000.0', '142,900.0', '144,600.0', '144,900.0', '144,400.0', '145,000.0', '145,700.0', '145,400.0']..., số giá trị độc nhất: 368
Thấp:
['135,900.0', '137,000.0', '139,200.0', '141,100.0', '139,500.0', '139,100.0', '139,300.0', '140,300.0', '139,000.0', '140,700.0', '138,900.0', '138,200.0', '141,500.0', '143,000.0', '143,100.0', '143,400.0', '143,600.0', '142,700.0', '144,300.0', '140,100.0']..., số giá trị độc nhất: 365
KL:
['6.19M', '5.78M', '5.32M', '2.95M', '6.42M', '2.85M', '3.47M', '2.53M', '4.69M', '3.42M', '3.32M', '6.81M', '7.50M', '5.31M', '3.39M', '3.03M', '1.66M', '2.47M', '3.25M', '1.89M']..., số giá trị độc nhất: 386
% Thay đổi:
['-1.16%', '-1.29%', '-1.49%', '-0.14%', '1.80%', '-0.64%', '-0.36%', '0.14%', '-0.71%', '-0.35%', '2.01%', '-1.07%', '-1.06%', '-0.70%', '-0.69%', '0.07%', '0.21%', '-0.90%', '1.26%', '-1.31%']..., số giá trị độc nhất: 293
Các bản ghi bị trùng:
Ngày Lần cuối Mở Cao Thấp KL % Thay đổi 
FPT_news_features.csv
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
0 2023-05-04 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00
1 2023-05-05 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2 2023-05-06 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
3 2023-05-07 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
4 2023-05-08 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
708 2025-04-11 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
709 2025-04-12 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
710 2025-04-13 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
711 2025-04-14 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
712 2025-04-15 3.00 82.00 1,690.67 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 713 entries, 0 to 712
Data columns (total 13 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Unnamed: 0             713 non-null    object 
 1   news_count             713 non-null    float64
 2   news_avg_title_len     713 non-null    float64
 3   news_avg_summary_len   713 non-null    float64
 4   news_total_pos_kw      713 non-null    float64
 5   news_total_neg_kw      713 non-null    float64
 6   news_llm_sentiment     713 non-null    float64
 7   div_event_count        713 non-null    float64
 8   div_total_vnd          713 non-null    float64
 9   div_total_bonus_ratio  713 non-null    float64
 10  it_event_count         713 non-null    float64
 11  it_total_executed_vol  713 non-null    float64
 12  meeting_event_count    713 non-null    float64
dtypes: float64(12), object(1)
memory usage: 72.5+ KB
None
Số giá trị bị rỗng:
Unnamed: 0               0
news_count               0
news_avg_title_len       0
news_avg_summary_len     0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00
mean 1.27 119.26 1,923.22 1.05 0.02 0.12 1.50 1,000.00 3.33 1.11 -968,731.78 1.00
std 0.60 38.61 251.61 0.94 0.13 0.38 0.50 0.00 3.34 0.61 1,399,125.38 0.00
min 1.00 28.00 1,114.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
25% 1.00 83.00 1,726.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
50% 1.00 118.00 2,004.00 1.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -60,000.00 1.00
75% 1.00 160.00 2,103.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
max 3.00 183.00 2,562.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 
Unnamed: 0               713
news_count                 3
news_avg_title_len        84
news_avg_summary_len     120
news_total_pos_kw          4
news_total_neg_kw          2
news_llm_sentiment         3
div_event_count            2
div_total_vnd              1
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     10
meeting_event_count        1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Unnamed: 0:
['2023-05-04', '2023-05-05', '2023-05-06', '2023-05-07', '2023-05-08', '2023-05-09', '2023-05-10', '2023-05-11', '2023-05-12', '2023-05-13', '2023-05-14', '2023-05-15', '2023-05-16', '2023-05-17', '2023-05-18', '2023-05-19', '2023-05-20', '2023-05-21', '2023-05-22', '2023-05-23']..., số giá trị độc nhất: 713
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_avg_title_len:
[160.0, 114.5, 118.0, 88.0, 29.0, 80.0, 63.0, 101.0, 102.0, 111.0, 125.0, 122.0, 75.0, 99.66666666666669, 74.0, 80.5, 92.0, 127.0, 131.0, 167.0]..., số giá trị độc nhất: 84
news_avg_summary_len:
[2103.0, 1866.0, 2023.0, 2101.0, 1562.0, 1873.0, 2105.0, 1666.0, 1734.0, 1584.0, 1693.0, 2154.0, 1930.0, 2159.0, 1944.0, 1700.0, 1992.5, 2017.0, 1958.0, 1265.0]..., số giá trị độc nhất: 120
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
Unnamed: 0 news_count news_avg_title_len news_avg_summary_len news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count 
prediction_CMG_bctc.csv
Date prediction_CMG_bctc
0 2023-01-12 31,691.02
1 2023-01-13 31,687.28
2 2023-01-16 31,664.80
3 2023-01-17 31,664.80
4 2023-01-18 32,059.77
Date prediction_CMG_bctc
487 2024-12-25 51,255.24
488 2024-12-26 51,255.24
489 2024-12-27 49,912.06
490 2024-12-30 49,912.06
491 2024-12-31 49,912.06 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 492 entries, 0 to 491
Data columns (total 2 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Date                 492 non-null    object 
 1   prediction_CMG_bctc  492 non-null    float64
dtypes: float64(1), object(1)
memory usage: 7.8+ KB
None
Số giá trị bị rỗng:
Date                   0
prediction_CMG_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_bctc
count 492.00
mean 41,042.15
std 6,881.79
min 31,664.80
25% 35,898.96
50% 38,684.38
75% 48,865.44
max 51,306.21 
Date                   492
prediction_CMG_bctc    215
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2023-01-12', '2023-01-13', '2023-01-16', '2023-01-17', '2023-01-18', '2023-01-19', '2023-01-27', '2023-01-30', '2023-01-31', '2023-02-01', '2023-02-02', '2023-02-03', '2023-02-06', '2023-02-07', '2023-02-08', '2023-02-09', '2023-02-10', '2023-02-13', '2023-02-14', '2023-02-15']..., số giá trị độc nhất: 492
prediction_CMG_bctc:
[31691.02210223359, 31687.283002712877, 31664.79769262038, 32059.76739071032, 32165.42842749107, 33082.786489533966, 33203.3664529299, 32884.48509838263, 33062.784286322014, 32889.051499696, 32729.49474456649, 32631.153359199623, 32452.85417126024, 32291.08273894128, 32293.361698122164, 32471.660886061534, 32522.20220555752, 31763.55917817004, 32015.621005889912, 31803.46796933564]..., số giá trị độc nhất: 215
Các bản ghi bị trùng:
Date prediction_CMG_bctc 
prediction_CMG_market.csv
Date prediction_CMG_market
0 2024-03-22 38,785.82
1 2024-03-25 38,713.03
2 2024-03-26 38,783.49
3 2024-03-27 38,719.68
4 2024-03-28 38,941.67
Date prediction_CMG_market
237 2025-03-06 43,374.96
238 2025-03-07 43,337.43
239 2025-03-10 43,264.80
240 2025-03-11 43,041.64
241 2025-03-12 42,000.00 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 242 entries, 0 to 241
Data columns (total 2 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Date                   242 non-null    object 
 1   prediction_CMG_market  242 non-null    float64
dtypes: float64(1), object(1)
memory usage: 3.9+ KB
None
Số giá trị bị rỗng:
Date                     0
prediction_CMG_market    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_market
count 242.00
mean 47,384.42
std 5,527.41
min 38,592.90
25% 43,750.34
50% 45,786.01
75% 49,931.66
max 60,690.67 
Date                     242
prediction_CMG_market    240
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2024-03-22', '2024-03-25', '2024-03-26', '2024-03-27', '2024-03-28', '2024-03-29', '2024-04-01', '2024-04-02', '2024-04-03', '2024-04-04', '2024-04-05', '2024-04-08', '2024-04-09', '2024-04-10', '2024-04-11', '2024-04-12', '2024-04-15', '2024-04-16', '2024-04-17', '2024-04-19']..., số giá trị độc nhất: 242
prediction_CMG_market:
[38785.82421949801, 38713.03209015034, 38783.48943121989, 38719.67724416648, 38941.66941395765, 38741.34336509788, 38592.90349846667, 39991.46402564617, 40471.236225831846, 40562.83205027087, 40394.858767940335, 43055.32934801685, 43495.20812864155, 43443.468835689935, 44729.6564445988, 42341.0635570966, 41705.6560556322, 39431.30937033029, 39022.59853310349, 39490.45993710206]..., số giá trị độc nhất: 240
Các bản ghi bị trùng:
Date prediction_CMG_market 
prediction_FPT_bctc.csv
Date prediction_FPT_bctc
0 2023-01-12 58,933.42
1 2023-01-13 58,433.20
2 2023-01-16 58,928.64
3 2023-01-17 59,673.84
4 2023-01-18 60,750.73
Date prediction_FPT_bctc
487 2024-12-25 106,214.87
488 2024-12-26 106,121.79
489 2024-12-27 106,115.48
490 2024-12-30 106,121.79
491 2024-12-31 106,192.69 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 492 entries, 0 to 491
Data columns (total 2 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Date                 492 non-null    object 
 1   prediction_FPT_bctc  492 non-null    float64
dtypes: float64(1), object(1)
memory usage: 7.8+ KB
None
Số giá trị bị rỗng:
Date                   0
prediction_FPT_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_bctc
count 492.00
mean 90,087.73
std 19,286.99
min 56,867.73
25% 68,762.85
50% 95,984.29
75% 106,379.19
max 112,644.38 
Date                   492
prediction_FPT_bctc    385
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2023-01-12', '2023-01-13', '2023-01-16', '2023-01-17', '2023-01-18', '2023-01-19', '2023-01-27', '2023-01-30', '2023-01-31', '2023-02-01', '2023-02-02', '2023-02-03', '2023-02-06', '2023-02-07', '2023-02-08', '2023-02-09', '2023-02-10', '2023-02-13', '2023-02-14', '2023-02-15']..., số giá trị độc nhất: 492
prediction_FPT_bctc:
[58933.418, 58433.203, 58928.645, 59673.836, 60750.73, 60916.79, 60930.81, 60787.57, 60729.094, 59624.78, 59579.145, 58379.848, 58826.22, 58953.387, 59133.402, 58925.348, 58938.566, 59678.984, 59660.797, 59656.348]..., số giá trị độc nhất: 385
Các bản ghi bị trùng:
Date prediction_FPT_bctc 
prediction_FPT_market.csv
Date prediction_FPT_market
0 2024-03-22 102,364.91
1 2024-03-25 102,364.91
2 2024-03-26 101,448.35
3 2024-03-27 102,364.91
4 2024-03-28 102,222.91
Date prediction_FPT_market
237 2025-03-06 137,496.53
238 2025-03-07 137,496.53
239 2025-03-10 137,496.53
240 2025-03-11 137,496.53
241 2025-03-12 137,496.53 
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 242 entries, 0 to 241
Data columns (total 2 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Date                   242 non-null    object 
 1   prediction_FPT_market  242 non-null    float64
dtypes: float64(1), object(1)
memory usage: 3.9+ KB
None
Số giá trị bị rỗng:
Date                     0
prediction_FPT_market    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_market
count 242.00
mean 128,845.17
std 11,630.44
min 100,112.28
25% 127,627.96
50% 134,026.63
75% 137,496.53
max 137,643.98 
Date                     242
prediction_FPT_market    110
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Date:
['2024-03-22', '2024-03-25', '2024-03-26', '2024-03-27', '2024-03-28', '2024-03-29', '2024-04-01', '2024-04-02', '2024-04-03', '2024-04-04', '2024-04-05', '2024-04-08', '2024-04-09', '2024-04-10', '2024-04-11', '2024-04-12', '2024-04-15', '2024-04-16', '2024-04-17', '2024-04-19']..., số giá trị độc nhất: 242
prediction_FPT_market:
[102364.914, 101448.35, 102222.914, 103004.69, 101195.49, 101395.98, 100496.65, 100112.28, 100549.02, 103182.51, 105880.4, 106352.57, 111537.71, 111065.54, 114489.555, 114627.94, 115217.734, 115571.586, 115778.53, 116737.56]..., số giá trị độc nhất: 110
Các bản ghi bị trùng:
Date prediction_FPT_market
In [7]:
def convert_to_number(s):
    unit_multipliers = {
        'K': 1e3,
        'M': 1e6,
        'B': 1e9
    }
    if isinstance(s, str):
        match = re.match(r"([0-9.]+)([a-zA-Z]+)?", s.strip())
        if match:
            number = float(match.group(1))
            unit = match.group(2)
            if unit:
                return number * unit_multipliers.get(unit.upper(), 1)
            else:
                return number
    elif isinstance(s, (int, float)):
        return s
# Hàm làm sạch dữ liệu lịch sử giá 2 cổ phiếu
def clean_history_price(df):
    rename_map = {
        'Ngày': 'Date',
        'Lần cuối': 'Close',
        'Mở': 'Open',
        'Cao': 'High',
        'Thấp': 'Low',
        'KL': 'Volume',
        '% Thay đổi': 'Change %'
    }
    df = df.rename(columns=rename_map)
    df['Date'] = pd.to_datetime(df['Date'], dayfirst=True)

    df['Volume'] = df['Volume'].apply(convert_to_number)
    df['Change %'] = df['Change %'].str.rstrip('%').astype(float) / 100

    # Convert 'Close', 'Open', 'High', 'Low' to numeric
    for col in ['Close', 'Open', 'High', 'Low']:
        df[col] = df[col].str.replace(',', '').astype(float)

    df = df.sort_values(by='Date')
    df = df.set_index('Date')
    return df
In [8]:
def clean_prediction(df):
    df['Date'] = pd.to_datetime(df['Date'])
    df = df.sort_values(by='Date')
    df = df.set_index('Date')
    return df
In [9]:
def clean_news(df):
    df = df.rename(columns = {'Unnamed: 0':'Date'})
    df['Date'] = pd.to_datetime(df['Date'])
    df = df.sort_values(by='Date')
    df = df.set_index('Date')
    df = df.drop(columns = ['news_avg_title_len','news_avg_summary_len']) # Do việc sử dụng độ dài tiêu đề tin tức và độ dài tóm tắt tin tức làm feature là không thiết thực
    return df
In [10]:
for key, value in data.items():
    print(key, value.shape)

CMG_news_features.csv (715, 13)
Dữ liệu Lịch sử CMG.csv (544, 7)
Dữ liệu Lịch sử FPT.csv (544, 7)
FPT_news_features.csv (713, 13)
prediction_CMG_bctc.csv (492, 2)
prediction_CMG_market.csv (242, 2)
prediction_FPT_bctc.csv (492, 2)
prediction_FPT_market.csv (242, 2)
In [11]:
def ultimate_clean(data_dict):
    df_dict = data_dict.copy()
    for key, value in df_dict.items():
        df = value.copy()
        if 'news' in key:
            df = clean_news(df)
        elif 'prediction' in key:
            df = clean_prediction(df)
        elif 'Lịch sử' in key:
            df = clean_history_price(df)
        else:
            pass
        df_dict[key] = df
    return df_dict
In [12]:
clean_data = ultimate_clean(data)
for key, value in clean_data.items():
    basic_stats(value, key)

CMG_news_features.csv
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-03-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 78,000.00 1.00
2023-03-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -133,200.00 1.00
2023-03-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2025-02-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 715 entries, 2023-03-14 to 2025-02-25
Data columns (total 10 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   news_count             715 non-null    float64
 1   news_total_pos_kw      715 non-null    float64
 2   news_total_neg_kw      715 non-null    float64
 3   news_llm_sentiment     715 non-null    float64
 4   div_event_count        715 non-null    float64
 5   div_total_vnd          715 non-null    float64
 6   div_total_bonus_ratio  715 non-null    float64
 7   it_event_count         715 non-null    float64
 8   it_total_executed_vol  715 non-null    float64
 9   meeting_event_count    715 non-null    float64
dtypes: float64(10)
memory usage: 61.4 KB
None
Số giá trị bị rỗng:
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00
mean 1.00 0.00 0.00 0.00 1.75 224.06 13.77 1.16 -91,583.47 1.00
std 0.00 0.00 0.00 0.05 0.97 290.43 6.06 0.46 545,212.93 0.00
min 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00
25% 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00
50% 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00
75% 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00
max 1.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 
news_count                1
news_total_pos_kw         1
news_total_neg_kw         1
news_llm_sentiment        2
div_event_count           2
div_total_vnd             2
div_total_bonus_ratio     2
it_event_count            3
it_total_executed_vol    24
meeting_event_count       1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
news_count:
[1.0]..., số giá trị độc nhất: 1
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-03-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-04-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-04-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 3,470,870.00 1.00
2023-08-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-10-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
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2024-11-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-11-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-28 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-31 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-28 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-31 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
Dữ liệu Lịch sử CMG.csv
Close Open High Low Volume Change %
Date
2023-01-03 29,463.00 27,688.00 29,463.00 27,688.00 104,920.00 0.04
2023-01-04 29,179.00 29,783.00 29,783.00 27,404.00 57,010.00 -0.01
2023-01-05 29,250.00 29,073.00 29,250.00 28,540.00 87,970.00 0.00
2023-01-06 29,073.00 29,463.00 29,463.00 28,185.00 55,890.00 -0.01
2023-01-09 28,398.00 29,037.00 29,037.00 27,546.00 109,960.00 -0.02
Close Open High Low Volume Change %
Date
2025-03-06 44,600.00 44,150.00 44,800.00 44,000.00 1,050,000.00 0.01
2025-03-07 44,350.00 44,800.00 44,850.00 44,300.00 596,200.00 -0.01
2025-03-10 43,950.00 44,500.00 44,500.00 43,900.00 910,000.00 -0.01
2025-03-11 43,100.00 43,050.00 43,300.00 42,950.00 1,600,000.00 -0.02
2025-03-12 42,250.00 43,100.00 43,350.00 42,250.00 1,810,000.00 -0.02 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 6 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   Close     544 non-null    float64
 1   Open      544 non-null    float64
 2   High      544 non-null    float64
 3   Low       544 non-null    float64
 4   Volume    544 non-null    float64
 5   Change %  544 non-null    float64
dtypes: float64(6)
memory usage: 29.8 KB
None
Số giá trị bị rỗng:
Close       0
Open        0
High        0
Low         0
Volume      0
Change %    0
dtype: int64
Thống kê các giá trị:
Close Open High Low Volume Change %
count 544.00 544.00 544.00 544.00 544.00 544.00
mean 39,857.71 39,864.82 40,390.07 39,120.04 749,428.35 0.00
std 8,957.08 9,121.06 9,341.46 8,934.09 1,040,879.89 0.02
min 27,901.00 27,688.00 28,398.00 27,369.00 8,690.00 -0.07
25% 33,226.00 33,066.25 33,536.50 32,658.00 76,410.00 -0.01
50% 36,216.00 36,216.00 36,441.00 35,586.00 277,190.00 0.00
75% 46,757.00 46,779.50 47,462.50 46,126.00 1,032,500.00 0.01
max 63,604.00 63,964.00 67,207.00 63,063.00 8,300,000.00 0.07 
Close       324
Open        320
High        298
Low         303
Volume      498
Change %    325
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[29463.0, 29179.0, 29250.0, 29073.0, 28398.0, 29392.0, 29002.0, 28753.0, 28576.0, 28611.0, 29108.0, 29534.0, 30883.0, 30528.0, 30599.0, 30102.0, 30173.0, 29321.0, 29783.0, 29747.0]..., số giá trị độc nhất: 324
Open:
[27688.0, 29783.0, 29073.0, 29463.0, 29037.0, 29818.0, 29144.0, 28966.0, 27972.0, 28753.0, 28789.0, 30883.0, 30528.0, 29889.0, 28540.0, 30493.0, 30138.0, 29747.0, 28576.0, 28647.0]..., số giá trị độc nhất: 320
High:
[29463.0, 29783.0, 29250.0, 29037.0, 29854.0, 29144.0, 28966.0, 29108.0, 28753.0, 28789.0, 29747.0, 30883.0, 31167.0, 30599.0, 30741.0, 30422.0, 30528.0, 30173.0, 30102.0, 29676.0]..., số giá trị độc nhất: 298
Low:
[27688.0, 27404.0, 28540.0, 28185.0, 27546.0, 28043.0, 27901.0, 27972.0, 27830.0, 28256.0, 28576.0, 29818.0, 30138.0, 29463.0, 29357.0, 28505.0, 29712.0, 29321.0, 28611.0, 29605.0]..., số giá trị độc nhất: 303
Volume:
[104920.0, 57010.0, 87970.0, 55890.0, 109960.0, 93430.0, 143860.0, 30540.0, 109120.0, 10370.0, 20730.0, 76200.0, 86010.0, 269660.0, 48050.0, 75920.0, 65560.0, 59810.0, 56310.0, 16530.0]..., số giá trị độc nhất: 498
Change %:
[0.0375, -0.0096, 0.0024, -0.0060999999999999995, -0.0232, 0.035, -0.013300000000000001, -0.0086, -0.0062, 0.0012, 0.005, 0.0123, 0.0146, 0.045700000000000005, -0.0115, 0.0023, -0.0348, 0.0192, 0.014199999999999999, -0.0116]..., số giá trị độc nhất: 325
Các bản ghi bị trùng:
Close Open High Low Volume Change %
Date 
Dữ liệu Lịch sử FPT.csv
Close Open High Low Volume Change %
Date
2023-01-03 58,435.00 56,171.00 58,435.00 56,098.00 2,030,000.00 0.04
2023-01-04 58,435.00 59,020.00 59,166.00 57,924.00 1,050,000.00 0.00
2023-01-05 58,874.00 58,581.00 59,531.00 58,581.00 1,340,000.00 0.01
2023-01-06 58,654.00 58,728.00 59,239.00 58,581.00 951,410.00 -0.00
2023-01-09 58,654.00 58,801.00 59,093.00 58,362.00 686,250.00 0.00
Close Open High Low Volume Change %
Date
2025-03-06 141,600.00 139,500.00 143,500.00 139,500.00 6,420,000.00 0.02
2025-03-07 141,400.00 141,700.00 142,700.00 141,100.00 2,950,000.00 -0.00
2025-03-10 139,300.00 141,500.00 141,500.00 139,200.00 5,320,000.00 -0.01
2025-03-11 137,500.00 138,000.00 138,500.00 137,000.00 5,780,000.00 -0.01
2025-03-12 135,900.00 137,700.00 138,700.00 135,900.00 6,190,000.00 -0.01 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 6 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   Close     544 non-null    float64
 1   Open      544 non-null    float64
 2   High      544 non-null    float64
 3   Low       544 non-null    float64
 4   Volume    544 non-null    float64
 5   Change %  544 non-null    float64
dtypes: float64(6)
memory usage: 29.8 KB
None
Số giá trị bị rỗng:
Close       0
Open        0
High        0
Low         0
Volume      0
Change %    0
dtype: int64
Thống kê các giá trị:
Close Open High Low Volume Change %
count 544.00 544.00 544.00 544.00 544.00 544.00
mean 97,945.51 97,881.79 98,820.51 97,011.78 3,088,292.68 0.00
std 31,962.95 31,979.04 32,268.51 31,687.45 2,326,429.93 0.01
min 56,609.00 56,171.00 57,267.00 56,098.00 292,270.00 -0.05
25% 68,728.00 68,452.25 68,982.00 68,176.00 1,390,000.00 -0.01
50% 86,656.50 85,498.00 87,129.00 85,240.50 2,510,000.00 0.00
75% 131,880.00 131,979.00 132,873.00 130,589.00 3,980,000.00 0.01
max 154,300.00 154,100.00 156,000.00 153,400.00 15,380,000.00 0.07 
Close       368
Open        361
High        368
Low         365
Volume      386
Change %    293
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[58435.0, 58874.0, 58654.0, 58728.0, 59093.0, 58947.0, 59020.0, 59896.0, 60919.0, 61284.0, 61357.0, 61138.0, 60992.0, 59823.0, 58508.0, 58801.0, 59312.0, 59604.0, 60481.0, 59750.0]..., số giá trị độc nhất: 368
Open:
[56171.0, 59020.0, 58581.0, 58728.0, 58801.0, 58947.0, 59166.0, 58508.0, 59312.0, 59969.0, 60627.0, 61430.0, 61503.0, 60992.0, 61357.0, 59896.0, 58435.0, 59239.0, 59604.0, 60481.0]..., số giá trị độc nhất: 361
High:
[58435.0, 59166.0, 59531.0, 59239.0, 59093.0, 59385.0, 59604.0, 59312.0, 59896.0, 60919.0, 61503.0, 62453.0, 61649.0, 61138.0, 61357.0, 60188.0, 59823.0, 59677.0, 60627.0, 60261.0]..., số giá trị độc nhất: 368
Low:
[56098.0, 57924.0, 58581.0, 58362.0, 58728.0, 58435.0, 58216.0, 59166.0, 59750.0, 60554.0, 61357.0, 61138.0, 59677.0, 59385.0, 58508.0, 58801.0, 58874.0, 58947.0, 58654.0, 59458.0]..., số giá trị độc nhất: 365
Volume:
[2029999.9999999998, 1050000.0, 1340000.0, 951410.0, 686250.0, 995450.0, 1420000.0, 717460.0, 830930.0, 759780.0, 1290000.0, 1260000.0, 1760000.0, 1510000.0, 1180000.0, 2020000.0, 1390000.0, 1750000.0, 2290000.0, 1250000.0]..., số giá trị độc nhất: 386
Change %:
[0.0403, 0.0, 0.0075, -0.0037, 0.0013, 0.0062, -0.0025, -0.0087, 0.01, 0.0148, 0.0171, 0.006, 0.0012, -0.0036, -0.0024, -0.018000000000000002, -0.0012, -0.022000000000000002, 0.005, 0.0025]..., số giá trị độc nhất: 293
Các bản ghi bị trùng:
Close Open High Low Volume Change %
Date 
FPT_news_features.csv
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-05-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00
2023-05-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2025-04-11 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 713 entries, 2023-05-04 to 2025-04-15
Data columns (total 10 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   news_count             713 non-null    float64
 1   news_total_pos_kw      713 non-null    float64
 2   news_total_neg_kw      713 non-null    float64
 3   news_llm_sentiment     713 non-null    float64
 4   div_event_count        713 non-null    float64
 5   div_total_vnd          713 non-null    float64
 6   div_total_bonus_ratio  713 non-null    float64
 7   it_event_count         713 non-null    float64
 8   it_total_executed_vol  713 non-null    float64
 9   meeting_event_count    713 non-null    float64
dtypes: float64(10)
memory usage: 61.3 KB
None
Số giá trị bị rỗng:
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00
mean 1.27 1.05 0.02 0.12 1.50 1,000.00 3.33 1.11 -968,731.78 1.00
std 0.60 0.94 0.13 0.38 0.50 0.00 3.34 0.61 1,399,125.38 0.00
min 1.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
25% 1.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
50% 1.00 1.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -60,000.00 1.00
75% 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
max 3.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 
news_count                3
news_total_pos_kw         4
news_total_neg_kw         2
news_llm_sentiment        3
div_event_count           2
div_total_vnd             1
div_total_bonus_ratio     2
it_event_count            3
it_total_executed_vol    10
meeting_event_count       1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-05-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-22 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-31 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-22 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-07 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-08 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-09 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-10 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-11 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-12 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-13 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-14 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-15 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-16 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-17 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-18 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-19 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-20 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-21 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-22 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-23 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-24 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-26 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-27 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-28 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-29 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-30 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-31 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-01 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-02 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-03 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-04 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-05 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-06 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-07 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-08 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-09 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-10 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-11 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-12 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-13 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-14 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-15 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-16 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-17 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-18 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-19 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-20 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-21 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-22 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-23 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-24 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-31 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 0.00 1.00
2023-10-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 0.00 1.00
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2024-05-08 1.00 0.00 0.00 1.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
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2024-05-11 1.00 0.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
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2025-02-05 1.00 0.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-02-28 1.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-03 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-04 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-05 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-06 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-08 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-09 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-11 3.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-16 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-17 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-21 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-22 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-24 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-26 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-27 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-28 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-29 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-04-01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-03 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-04 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-05 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-06 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-07 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-08 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-09 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-10 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-11 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
prediction_CMG_bctc.csv
prediction_CMG_bctc
Date
2023-01-12 31,691.02
2023-01-13 31,687.28
2023-01-16 31,664.80
2023-01-17 31,664.80
2023-01-18 32,059.77
prediction_CMG_bctc
Date
2024-12-25 51,255.24
2024-12-26 51,255.24
2024-12-27 49,912.06
2024-12-30 49,912.06
2024-12-31 49,912.06 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 492 entries, 2023-01-12 to 2024-12-31
Data columns (total 1 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   prediction_CMG_bctc  492 non-null    float64
dtypes: float64(1)
memory usage: 7.7 KB
None
Số giá trị bị rỗng:
prediction_CMG_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_bctc
count 492.00
mean 41,042.15
std 6,881.79
min 31,664.80
25% 35,898.96
50% 38,684.38
75% 48,865.44
max 51,306.21 
prediction_CMG_bctc    215
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_CMG_bctc:
[31691.02210223359, 31687.283002712877, 31664.79769262038, 32059.76739071032, 32165.42842749107, 33082.786489533966, 33203.3664529299, 32884.48509838263, 33062.784286322014, 32889.051499696, 32729.49474456649, 32631.153359199623, 32452.85417126024, 32291.08273894128, 32293.361698122164, 32471.660886061534, 32522.20220555752, 31763.55917817004, 32015.621005889912, 31803.46796933564]..., số giá trị độc nhất: 215
Các bản ghi bị trùng:
prediction_CMG_bctc
Date
2023-01-17 31,664.80
2023-01-31 33,203.37
2023-02-03 33,082.79
2023-02-06 33,203.37
2023-02-13 32,631.15
2023-02-14 32,631.15
2023-02-15 32,452.85
2023-02-27 31,664.80
2023-02-28 31,803.47
2023-03-02 31,687.28
2023-03-03 31,664.80
2023-03-06 31,664.80
2023-03-07 31,664.80
2023-03-08 31,964.58
2023-03-09 31,687.28
2023-03-10 32,059.77
2023-03-14 31,664.80
2023-03-16 32,059.77
2023-03-20 31,691.02
2023-03-22 31,664.80
2023-03-23 31,687.28
2023-03-24 31,803.47
2023-03-27 31,664.80
2023-03-28 31,664.80
2023-03-29 31,664.80
2023-03-30 31,664.80
2023-03-31 31,664.80
2023-04-04 32,254.47
2023-04-11 32,674.22
2023-04-12 32,640.58
2023-04-14 32,812.20
2023-04-20 32,802.35
2023-04-21 32,802.35
2023-04-24 32,640.58
2023-04-26 32,623.68
2023-04-27 32,623.68
2023-04-28 32,640.58
2023-05-04 32,640.58
2023-05-05 32,640.58
2023-05-08 32,640.58
2023-05-09 32,623.68
2023-05-10 32,623.68
2023-05-11 32,623.68
2023-05-12 32,623.68
2023-05-15 32,623.68
2023-05-16 32,623.68
2023-05-18 32,484.72
2023-05-19 32,484.72
2023-05-25 32,393.68
2023-05-26 32,374.79
2023-05-30 32,397.41
2023-05-31 32,484.72
2023-06-02 32,500.31
2023-06-09 35,346.74
2023-06-12 35,346.74
2023-06-13 35,346.74
2023-06-15 35,175.69
2023-06-16 35,346.74
2023-06-19 35,346.74
2023-06-21 35,481.69
2023-06-23 35,346.74
2023-06-28 37,070.99
2023-06-30 36,593.30
2023-07-06 36,181.37
2023-07-07 36,181.37
2023-07-10 36,181.37
2023-07-21 37,289.40
2023-07-24 37,289.40
2023-07-27 36,700.77
2023-08-07 37,930.98
2023-08-08 38,004.65
2023-08-09 37,877.53
2023-08-11 37,691.61
2023-08-14 37,673.87
2023-08-15 37,673.87
2023-08-16 37,673.87
2023-08-23 37,673.87
2023-09-13 38,600.16
2023-09-21 37,692.10
2023-09-29 37,238.92
2023-10-04 36,294.97
2023-10-05 36,294.97
2023-10-06 36,294.97
2023-10-09 36,687.38
2023-10-19 36,883.59
2023-10-20 36,687.38
2023-10-23 36,294.97
2023-10-31 34,339.90
2023-11-01 34,339.90
2023-11-02 34,339.90
2023-11-03 34,339.90
2023-11-07 34,705.56
2023-11-10 35,828.04
2023-11-13 35,828.04
2023-11-14 35,972.76
2023-11-16 36,294.97
2023-11-17 36,294.97
2023-11-20 36,294.97
2023-11-21 37,029.55
2023-11-22 37,325.96
2023-11-23 37,197.74
2023-11-29 37,325.96
2023-11-30 37,325.96
2023-12-01 37,283.40
2023-12-06 37,325.96
2023-12-11 37,565.29
2023-12-12 37,565.29
2023-12-13 37,565.29
2023-12-14 37,565.29
2023-12-15 37,565.29
2023-12-19 37,749.54
2023-12-20 37,749.54
2023-12-21 37,749.54
2023-12-22 37,807.50
2024-01-03 42,162.64
2024-01-04 42,162.64
2024-01-09 40,428.00
2024-01-22 38,602.92
2024-01-24 37,924.52
2024-01-25 37,924.52
2024-02-07 39,774.10
2024-02-15 39,446.64
2024-02-19 39,171.35
2024-02-20 39,171.35
2024-02-21 39,080.99
2024-02-26 38,703.30
2024-02-29 38,728.89
2024-04-11 45,706.57
2024-04-12 45,706.57
2024-04-16 43,158.17
2024-04-17 43,140.50
2024-04-24 43,140.50
2024-04-25 43,140.50
2024-04-26 43,140.50
2024-05-06 44,201.21
2024-05-10 50,781.79
2024-05-13 50,781.79
2024-05-14 50,781.79
2024-05-15 50,781.79
2024-05-16 50,781.79
2024-05-17 50,781.79
2024-05-20 50,781.79
2024-05-21 50,781.79
2024-05-22 50,781.79
2024-05-23 50,781.79
2024-05-24 50,781.79
2024-05-27 50,781.79
2024-05-28 50,781.79
2024-05-29 50,781.79
2024-05-30 50,781.79
2024-05-31 50,781.79
2024-06-03 50,781.79
2024-06-04 50,781.79
2024-06-05 50,781.79
2024-06-06 50,781.79
2024-06-07 50,781.79
2024-06-10 50,781.79
2024-06-11 50,781.79
2024-06-12 50,781.79
2024-06-13 50,781.79
2024-06-14 50,781.79
2024-06-17 50,781.79
2024-06-18 50,781.79
2024-06-19 50,781.79
2024-06-20 50,781.79
2024-06-21 50,781.79
2024-06-24 50,781.79
2024-06-25 50,781.79
2024-06-26 50,781.79
2024-06-27 50,781.79
2024-06-28 50,781.79
2024-07-01 50,781.79
2024-07-02 50,781.79
2024-07-04 50,323.86
2024-07-08 50,286.97
2024-07-10 50,286.97
2024-07-11 50,286.97
2024-07-12 50,286.97
2024-07-15 50,286.97
2024-07-16 50,286.97
2024-07-17 50,323.86
2024-07-18 50,323.86
2024-07-19 50,323.86
2024-07-22 50,323.86
2024-07-23 50,323.86
2024-07-24 50,323.86
2024-07-26 50,323.86
2024-07-29 50,323.86
2024-07-30 50,323.86
2024-07-31 50,323.86
2024-08-02 48,980.68
2024-08-05 47,883.08
2024-08-06 47,883.08
2024-08-08 47,934.06
2024-08-09 47,934.06
2024-08-14 47,883.08
2024-08-15 47,883.08
2024-08-16 48,980.68
2024-08-19 48,980.68
2024-08-20 48,980.68
2024-08-21 48,980.68
2024-08-22 50,323.86
2024-08-23 50,323.86
2024-08-26 48,980.68
2024-08-27 48,980.68
2024-08-28 48,980.68
2024-08-29 48,980.68
2024-09-04 48,943.80
2024-09-05 48,980.68
2024-09-06 47,900.75
2024-09-09 47,883.08
2024-09-10 47,883.08
2024-09-11 47,883.08
2024-09-12 47,883.08
2024-09-13 47,883.08
2024-09-16 47,883.08
2024-09-17 47,883.08
2024-09-18 48,980.68
2024-09-19 48,943.80
2024-09-20 48,943.80
2024-09-25 47,863.87
2024-09-26 47,863.87
2024-09-27 47,846.20
2024-09-30 47,846.20
2024-10-01 47,846.20
2024-10-02 47,846.20
2024-10-04 48,520.14
2024-10-07 48,520.14
2024-10-09 48,520.14
2024-10-16 48,865.44
2024-10-17 48,883.10
2024-10-18 48,865.44
2024-10-21 49,963.03
2024-10-22 48,520.14
2024-10-23 48,520.14
2024-10-24 48,411.72
2024-10-25 48,520.14
2024-10-28 48,520.14
2024-10-30 48,883.10
2024-10-31 48,865.44
2024-11-01 48,865.44
2024-11-04 48,520.14
2024-11-05 48,411.72
2024-11-06 48,411.72
2024-11-07 48,537.80
2024-11-12 51,306.21
2024-11-13 51,306.21
2024-11-14 51,306.21
2024-11-15 51,306.21
2024-11-20 49,509.32
2024-11-21 49,509.32
2024-11-22 49,509.32
2024-11-26 49,617.74
2024-11-27 49,963.03
2024-11-28 49,963.03
2024-11-29 51,306.21
2024-12-02 51,306.21
2024-12-04 51,255.24
2024-12-05 51,255.24
2024-12-06 51,255.24
2024-12-09 51,255.24
2024-12-10 51,255.24
2024-12-11 51,255.24
2024-12-12 51,255.24
2024-12-13 49,912.06
2024-12-16 51,255.24
2024-12-17 51,255.24
2024-12-18 51,255.24
2024-12-19 51,255.24
2024-12-20 51,255.24
2024-12-23 51,255.24
2024-12-24 51,255.24
2024-12-25 51,255.24
2024-12-26 51,255.24
2024-12-27 49,912.06
2024-12-30 49,912.06
2024-12-31 49,912.06 
prediction_CMG_market.csv
prediction_CMG_market
Date
2024-03-22 38,785.82
2024-03-25 38,713.03
2024-03-26 38,783.49
2024-03-27 38,719.68
2024-03-28 38,941.67
prediction_CMG_market
Date
2025-03-06 43,374.96
2025-03-07 43,337.43
2025-03-10 43,264.80
2025-03-11 43,041.64
2025-03-12 42,000.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 242 entries, 2024-03-22 to 2025-03-12
Data columns (total 1 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   prediction_CMG_market  242 non-null    float64
dtypes: float64(1)
memory usage: 3.8 KB
None
Số giá trị bị rỗng:
prediction_CMG_market    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_market
count 242.00
mean 47,384.42
std 5,527.41
min 38,592.90
25% 43,750.34
50% 45,786.01
75% 49,931.66
max 60,690.67 
prediction_CMG_market    240
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_CMG_market:
[38785.82421949801, 38713.03209015034, 38783.48943121989, 38719.67724416648, 38941.66941395765, 38741.34336509788, 38592.90349846667, 39991.46402564617, 40471.236225831846, 40562.83205027087, 40394.858767940335, 43055.32934801685, 43495.20812864155, 43443.468835689935, 44729.6564445988, 42341.0635570966, 41705.6560556322, 39431.30937033029, 39022.59853310349, 39490.45993710206]..., số giá trị độc nhất: 240
Các bản ghi bị trùng:
prediction_CMG_market
Date
2024-04-02 38,741.34
2025-03-10 43,264.80 
prediction_FPT_bctc.csv
prediction_FPT_bctc
Date
2023-01-12 58,933.42
2023-01-13 58,433.20
2023-01-16 58,928.64
2023-01-17 59,673.84
2023-01-18 60,750.73
prediction_FPT_bctc
Date
2024-12-25 106,214.87
2024-12-26 106,121.79
2024-12-27 106,115.48
2024-12-30 106,121.79
2024-12-31 106,192.69 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 492 entries, 2023-01-12 to 2024-12-31
Data columns (total 1 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   prediction_FPT_bctc  492 non-null    float64
dtypes: float64(1)
memory usage: 7.7 KB
None
Số giá trị bị rỗng:
prediction_FPT_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_bctc
count 492.00
mean 90,087.73
std 19,286.99
min 56,867.73
25% 68,762.85
50% 95,984.29
75% 106,379.19
max 112,644.38 
prediction_FPT_bctc    385
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_FPT_bctc:
[58933.418, 58433.203, 58928.645, 59673.836, 60750.73, 60916.79, 60930.81, 60787.57, 60729.094, 59624.78, 59579.145, 58379.848, 58826.22, 58953.387, 59133.402, 58925.348, 58938.566, 59678.984, 59660.797, 59656.348]..., số giá trị độc nhất: 385
Các bản ghi bị trùng:
prediction_FPT_bctc
Date
2023-02-10 58,925.35
2023-02-14 58,938.57
2023-03-31 57,765.46
2023-04-19 63,078.31
2023-04-21 63,078.31
2023-04-27 62,544.36
2023-06-02 65,638.41
2023-06-07 65,534.06
2023-06-15 65,675.70
2023-06-21 65,594.91
2023-06-22 65,594.91
2023-06-23 65,507.85
2023-08-11 73,578.57
2023-11-20 84,405.65
2023-11-21 84,431.88
2023-11-28 84,431.88
2024-01-26 93,338.30
2024-01-31 93,338.30
2024-02-07 96,638.76
2024-02-15 96,638.76
2024-03-11 102,095.90
2024-03-22 101,758.22
2024-03-29 101,805.74
2024-04-12 101,966.15
2024-06-07 112,057.08
2024-06-14 112,171.39
2024-06-17 112,171.39
2024-06-20 112,151.24
2024-06-24 112,171.39
2024-06-25 112,151.24
2024-06-26 112,151.24
2024-06-28 112,151.24
2024-07-11 111,541.61
2024-07-12 111,541.61
2024-07-15 111,541.61
2024-07-16 111,541.61
2024-07-30 110,931.91
2024-07-31 110,931.91
2024-08-01 110,882.05
2024-08-13 110,931.91
2024-08-14 110,870.12
2024-08-15 110,931.91
2024-08-16 111,479.96
2024-08-19 110,931.91
2024-08-22 110,993.55
2024-08-23 110,993.55
2024-08-26 111,083.26
2024-08-27 111,556.74
2024-08-28 110,993.55
2024-08-29 110,993.55
2024-09-04 110,993.55
2024-09-05 111,479.96
2024-09-09 111,083.26
2024-09-10 110,931.91
2024-09-11 111,479.96
2024-09-12 111,008.68
2024-09-13 110,993.55
2024-09-16 111,083.26
2024-09-17 111,008.68
2024-09-18 110,993.55
2024-09-19 111,028.90
2024-09-20 111,028.90
2024-09-23 110,993.55
2024-09-24 111,541.61
2024-09-25 110,993.55
2024-09-26 111,541.61
2024-09-27 110,993.55
2024-09-30 110,993.55
2024-10-16 106,535.21
2024-10-17 106,535.21
2024-10-24 106,266.97
2024-10-25 106,266.97
2024-10-28 106,364.22
2024-10-29 106,364.22
2024-10-30 106,535.21
2024-10-31 106,535.21
2024-11-01 106,266.97
2024-11-04 106,266.97
2024-11-05 106,266.97
2024-11-06 106,266.97
2024-11-07 106,364.22
2024-11-08 106,535.21
2024-11-12 106,535.21
2024-11-14 106,535.21
2024-11-18 106,281.20
2024-11-19 106,281.20
2024-11-20 106,281.20
2024-11-22 106,281.01
2024-11-25 106,266.97
2024-11-26 106,364.22
2024-11-28 105,873.95
2024-12-04 106,121.79
2024-12-06 106,115.48
2024-12-09 106,115.48
2024-12-11 106,121.79
2024-12-12 106,125.06
2024-12-13 106,115.48
2024-12-16 106,125.06
2024-12-17 106,115.48
2024-12-18 106,115.48
2024-12-19 106,115.48
2024-12-20 106,115.48
2024-12-23 106,121.79
2024-12-24 106,121.79
2024-12-26 106,121.79
2024-12-27 106,115.48
2024-12-30 106,121.79 
prediction_FPT_market.csv
prediction_FPT_market
Date
2024-03-22 102,364.91
2024-03-25 102,364.91
2024-03-26 101,448.35
2024-03-27 102,364.91
2024-03-28 102,222.91
prediction_FPT_market
Date
2025-03-06 137,496.53
2025-03-07 137,496.53
2025-03-10 137,496.53
2025-03-11 137,496.53
2025-03-12 137,496.53 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 242 entries, 2024-03-22 to 2025-03-12
Data columns (total 1 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   prediction_FPT_market  242 non-null    float64
dtypes: float64(1)
memory usage: 3.8 KB
None
Số giá trị bị rỗng:
prediction_FPT_market    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_market
count 242.00
mean 128,845.17
std 11,630.44
min 100,112.28
25% 127,627.96
50% 134,026.63
75% 137,496.53
max 137,643.98 
prediction_FPT_market    110
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_FPT_market:
[102364.914, 101448.35, 102222.914, 103004.69, 101195.49, 101395.98, 100496.65, 100112.28, 100549.02, 103182.51, 105880.4, 106352.57, 111537.71, 111065.54, 114489.555, 114627.94, 115217.734, 115571.586, 115778.53, 116737.56]..., số giá trị độc nhất: 110
Các bản ghi bị trùng:
prediction_FPT_market
Date
2024-03-25 102,364.91
2024-03-27 102,364.91
2024-03-29 102,222.91
2024-04-01 102,222.91
2024-04-03 103,004.69
2024-04-04 103,004.69
2024-04-05 102,222.91
2024-04-08 102,222.91
2024-04-09 102,364.91
2024-04-11 101,448.35
2024-04-12 101,448.35
2024-04-15 101,448.35
2024-04-16 101,195.49
2024-04-22 100,496.65
2024-04-25 102,364.91
2024-04-26 102,222.91
2024-05-09 111,065.54
2024-05-13 114,489.55
2024-05-14 114,489.55
2024-05-17 115,217.73
2024-05-20 115,217.73
2024-05-24 115,217.73
2024-05-27 115,778.53
2024-05-28 115,778.53
2024-05-31 115,217.73
2024-06-03 115,778.53
2024-06-07 120,876.73
2024-07-12 135,780.39
2024-07-15 135,780.39
2024-07-18 133,225.95
2024-07-29 128,492.92
2024-07-30 128,492.92
2024-07-31 128,492.92
2024-08-01 128,492.92
2024-08-05 127,642.55
2024-08-12 126,428.39
2024-08-13 127,623.10
2024-08-15 128,492.92
2024-08-19 129,989.52
2024-08-21 131,152.84
2024-08-22 131,773.69
2024-08-23 132,571.69
2024-08-28 133,132.16
2024-09-05 133,132.16
2024-09-06 133,225.95
2024-09-16 131,860.70
2024-09-30 135,200.73
2024-10-01 135,217.48
2024-10-02 135,217.48
2024-10-03 135,217.48
2024-10-04 135,217.48
2024-10-09 135,185.39
2024-10-11 136,002.77
2024-10-17 137,462.14
2024-10-18 137,462.14
2024-10-21 137,462.14
2024-10-23 135,780.39
2024-10-25 135,038.84
2024-10-29 135,022.10
2024-11-04 135,038.84
2024-11-05 135,022.10
2024-11-06 135,022.10
2024-11-07 135,022.10
2024-11-12 135,149.50
2024-11-14 135,856.23
2024-11-18 135,780.39
2024-11-19 135,350.48
2024-11-26 133,889.16
2024-12-02 137,450.73
2024-12-04 137,496.53
2024-12-05 137,496.53
2024-12-09 137,583.62
2024-12-10 137,583.62
2024-12-11 137,496.53
2024-12-12 137,496.53
2024-12-13 137,496.53
2024-12-16 137,496.53
2024-12-17 137,496.53
2024-12-18 137,496.53
2024-12-19 137,496.53
2024-12-20 137,496.53
2024-12-23 137,496.53
2024-12-24 137,496.53
2024-12-25 137,496.53
2024-12-26 137,496.53
2024-12-27 137,496.53
2024-12-30 137,583.62
2024-12-31 137,583.62
2025-01-02 137,583.62
2025-01-06 137,496.53
2025-01-07 137,496.53
2025-01-08 137,496.53
2025-01-09 137,496.53
2025-01-10 137,496.53
2025-01-13 137,496.53
2025-01-14 137,496.53
2025-01-15 137,496.53
2025-01-16 137,496.53
2025-01-17 137,496.53
2025-01-20 137,496.53
2025-01-21 137,496.53
2025-01-22 137,496.53
2025-01-23 137,496.53
2025-01-24 137,496.53
2025-02-03 137,583.62
2025-02-04 137,583.62
2025-02-05 137,583.62
2025-02-06 137,496.53
2025-02-07 137,583.62
2025-02-10 137,496.53
2025-02-11 137,496.53
2025-02-12 137,496.53
2025-02-13 137,496.53
2025-02-14 137,496.53
2025-02-17 137,496.53
2025-02-18 137,496.53
2025-02-19 137,496.53
2025-02-20 137,583.62
2025-02-21 137,583.62
2025-02-24 137,583.62
2025-02-25 137,583.62
2025-02-26 137,496.53
2025-02-27 137,496.53
2025-02-28 137,496.53
2025-03-03 137,496.53
2025-03-04 137,496.53
2025-03-05 137,496.53
2025-03-06 137,496.53
2025-03-07 137,496.53
2025-03-10 137,496.53
2025-03-11 137,496.53
2025-03-12 137,496.53
In [13]:
data = clean_data.copy()
In [14]:
for key, value in data.items():
    basic_stats(value, key)

CMG_news_features.csv
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-03-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 78,000.00 1.00
2023-03-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -133,200.00 1.00
2023-03-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2025-02-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 715 entries, 2023-03-14 to 2025-02-25
Data columns (total 10 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   news_count             715 non-null    float64
 1   news_total_pos_kw      715 non-null    float64
 2   news_total_neg_kw      715 non-null    float64
 3   news_llm_sentiment     715 non-null    float64
 4   div_event_count        715 non-null    float64
 5   div_total_vnd          715 non-null    float64
 6   div_total_bonus_ratio  715 non-null    float64
 7   it_event_count         715 non-null    float64
 8   it_total_executed_vol  715 non-null    float64
 9   meeting_event_count    715 non-null    float64
dtypes: float64(10)
memory usage: 61.4 KB
None
Số giá trị bị rỗng:
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00 715.00
mean 1.00 0.00 0.00 0.00 1.75 224.06 13.77 1.16 -91,583.47 1.00
std 0.00 0.00 0.00 0.05 0.97 290.43 6.06 0.46 545,212.93 0.00
min 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00
25% 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00
50% 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00
75% 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00
max 1.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 
news_count                1
news_total_pos_kw         1
news_total_neg_kw         1
news_llm_sentiment        2
div_event_count           2
div_total_vnd             2
div_total_bonus_ratio     2
it_event_count            3
it_total_executed_vol    24
meeting_event_count       1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
news_count:
[1.0]..., số giá trị độc nhất: 1
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-03-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00
2023-03-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-03-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00
2023-04-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-04-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-04-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -60,400.00 1.00
2023-05-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-05-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-06-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -200,000.00 1.00
2023-07-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-07-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 2.00 1,850,000.00 1.00
2023-08-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 3,470,870.00 1.00
2023-08-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -126,800.00 1.00
2023-08-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-23 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -1,502,100.00 1.00
2023-08-31 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-04 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-06 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-07 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-08 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-09 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-10 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-11 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-12 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-13 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-14 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-15 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-16 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-17 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-18 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-19 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-20 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-21 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-22 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 18,100.00 1.00
2023-09-24 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-25 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-26 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-27 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-28 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-29 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
2023-09-30 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -161,300.00 1.00
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2024-11-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -68,400.00 1.00
2024-11-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-11-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-28 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2024-12-31 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-26 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-27 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-28 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-29 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-30 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-01-31 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-02 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-03 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-04 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-05 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-06 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-08 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-09 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-10 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-11 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-12 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-13 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-14 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-15 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-16 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-17 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-18 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-19 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-20 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-21 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-22 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-23 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-24 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00
2025-02-25 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 
Dữ liệu Lịch sử CMG.csv
Close Open High Low Volume Change %
Date
2023-01-03 29,463.00 27,688.00 29,463.00 27,688.00 104,920.00 0.04
2023-01-04 29,179.00 29,783.00 29,783.00 27,404.00 57,010.00 -0.01
2023-01-05 29,250.00 29,073.00 29,250.00 28,540.00 87,970.00 0.00
2023-01-06 29,073.00 29,463.00 29,463.00 28,185.00 55,890.00 -0.01
2023-01-09 28,398.00 29,037.00 29,037.00 27,546.00 109,960.00 -0.02
Close Open High Low Volume Change %
Date
2025-03-06 44,600.00 44,150.00 44,800.00 44,000.00 1,050,000.00 0.01
2025-03-07 44,350.00 44,800.00 44,850.00 44,300.00 596,200.00 -0.01
2025-03-10 43,950.00 44,500.00 44,500.00 43,900.00 910,000.00 -0.01
2025-03-11 43,100.00 43,050.00 43,300.00 42,950.00 1,600,000.00 -0.02
2025-03-12 42,250.00 43,100.00 43,350.00 42,250.00 1,810,000.00 -0.02 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 6 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   Close     544 non-null    float64
 1   Open      544 non-null    float64
 2   High      544 non-null    float64
 3   Low       544 non-null    float64
 4   Volume    544 non-null    float64
 5   Change %  544 non-null    float64
dtypes: float64(6)
memory usage: 29.8 KB
None
Số giá trị bị rỗng:
Close       0
Open        0
High        0
Low         0
Volume      0
Change %    0
dtype: int64
Thống kê các giá trị:
Close Open High Low Volume Change %
count 544.00 544.00 544.00 544.00 544.00 544.00
mean 39,857.71 39,864.82 40,390.07 39,120.04 749,428.35 0.00
std 8,957.08 9,121.06 9,341.46 8,934.09 1,040,879.89 0.02
min 27,901.00 27,688.00 28,398.00 27,369.00 8,690.00 -0.07
25% 33,226.00 33,066.25 33,536.50 32,658.00 76,410.00 -0.01
50% 36,216.00 36,216.00 36,441.00 35,586.00 277,190.00 0.00
75% 46,757.00 46,779.50 47,462.50 46,126.00 1,032,500.00 0.01
max 63,604.00 63,964.00 67,207.00 63,063.00 8,300,000.00 0.07 
Close       324
Open        320
High        298
Low         303
Volume      498
Change %    325
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[29463.0, 29179.0, 29250.0, 29073.0, 28398.0, 29392.0, 29002.0, 28753.0, 28576.0, 28611.0, 29108.0, 29534.0, 30883.0, 30528.0, 30599.0, 30102.0, 30173.0, 29321.0, 29783.0, 29747.0]..., số giá trị độc nhất: 324
Open:
[27688.0, 29783.0, 29073.0, 29463.0, 29037.0, 29818.0, 29144.0, 28966.0, 27972.0, 28753.0, 28789.0, 30883.0, 30528.0, 29889.0, 28540.0, 30493.0, 30138.0, 29747.0, 28576.0, 28647.0]..., số giá trị độc nhất: 320
High:
[29463.0, 29783.0, 29250.0, 29037.0, 29854.0, 29144.0, 28966.0, 29108.0, 28753.0, 28789.0, 29747.0, 30883.0, 31167.0, 30599.0, 30741.0, 30422.0, 30528.0, 30173.0, 30102.0, 29676.0]..., số giá trị độc nhất: 298
Low:
[27688.0, 27404.0, 28540.0, 28185.0, 27546.0, 28043.0, 27901.0, 27972.0, 27830.0, 28256.0, 28576.0, 29818.0, 30138.0, 29463.0, 29357.0, 28505.0, 29712.0, 29321.0, 28611.0, 29605.0]..., số giá trị độc nhất: 303
Volume:
[104920.0, 57010.0, 87970.0, 55890.0, 109960.0, 93430.0, 143860.0, 30540.0, 109120.0, 10370.0, 20730.0, 76200.0, 86010.0, 269660.0, 48050.0, 75920.0, 65560.0, 59810.0, 56310.0, 16530.0]..., số giá trị độc nhất: 498
Change %:
[0.0375, -0.0096, 0.0024, -0.0060999999999999995, -0.0232, 0.035, -0.013300000000000001, -0.0086, -0.0062, 0.0012, 0.005, 0.0123, 0.0146, 0.045700000000000005, -0.0115, 0.0023, -0.0348, 0.0192, 0.014199999999999999, -0.0116]..., số giá trị độc nhất: 325
Các bản ghi bị trùng:
Close Open High Low Volume Change %
Date 
Dữ liệu Lịch sử FPT.csv
Close Open High Low Volume Change %
Date
2023-01-03 58,435.00 56,171.00 58,435.00 56,098.00 2,030,000.00 0.04
2023-01-04 58,435.00 59,020.00 59,166.00 57,924.00 1,050,000.00 0.00
2023-01-05 58,874.00 58,581.00 59,531.00 58,581.00 1,340,000.00 0.01
2023-01-06 58,654.00 58,728.00 59,239.00 58,581.00 951,410.00 -0.00
2023-01-09 58,654.00 58,801.00 59,093.00 58,362.00 686,250.00 0.00
Close Open High Low Volume Change %
Date
2025-03-06 141,600.00 139,500.00 143,500.00 139,500.00 6,420,000.00 0.02
2025-03-07 141,400.00 141,700.00 142,700.00 141,100.00 2,950,000.00 -0.00
2025-03-10 139,300.00 141,500.00 141,500.00 139,200.00 5,320,000.00 -0.01
2025-03-11 137,500.00 138,000.00 138,500.00 137,000.00 5,780,000.00 -0.01
2025-03-12 135,900.00 137,700.00 138,700.00 135,900.00 6,190,000.00 -0.01 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 6 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   Close     544 non-null    float64
 1   Open      544 non-null    float64
 2   High      544 non-null    float64
 3   Low       544 non-null    float64
 4   Volume    544 non-null    float64
 5   Change %  544 non-null    float64
dtypes: float64(6)
memory usage: 29.8 KB
None
Số giá trị bị rỗng:
Close       0
Open        0
High        0
Low         0
Volume      0
Change %    0
dtype: int64
Thống kê các giá trị:
Close Open High Low Volume Change %
count 544.00 544.00 544.00 544.00 544.00 544.00
mean 97,945.51 97,881.79 98,820.51 97,011.78 3,088,292.68 0.00
std 31,962.95 31,979.04 32,268.51 31,687.45 2,326,429.93 0.01
min 56,609.00 56,171.00 57,267.00 56,098.00 292,270.00 -0.05
25% 68,728.00 68,452.25 68,982.00 68,176.00 1,390,000.00 -0.01
50% 86,656.50 85,498.00 87,129.00 85,240.50 2,510,000.00 0.00
75% 131,880.00 131,979.00 132,873.00 130,589.00 3,980,000.00 0.01
max 154,300.00 154,100.00 156,000.00 153,400.00 15,380,000.00 0.07 
Close       368
Open        361
High        368
Low         365
Volume      386
Change %    293
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[58435.0, 58874.0, 58654.0, 58728.0, 59093.0, 58947.0, 59020.0, 59896.0, 60919.0, 61284.0, 61357.0, 61138.0, 60992.0, 59823.0, 58508.0, 58801.0, 59312.0, 59604.0, 60481.0, 59750.0]..., số giá trị độc nhất: 368
Open:
[56171.0, 59020.0, 58581.0, 58728.0, 58801.0, 58947.0, 59166.0, 58508.0, 59312.0, 59969.0, 60627.0, 61430.0, 61503.0, 60992.0, 61357.0, 59896.0, 58435.0, 59239.0, 59604.0, 60481.0]..., số giá trị độc nhất: 361
High:
[58435.0, 59166.0, 59531.0, 59239.0, 59093.0, 59385.0, 59604.0, 59312.0, 59896.0, 60919.0, 61503.0, 62453.0, 61649.0, 61138.0, 61357.0, 60188.0, 59823.0, 59677.0, 60627.0, 60261.0]..., số giá trị độc nhất: 368
Low:
[56098.0, 57924.0, 58581.0, 58362.0, 58728.0, 58435.0, 58216.0, 59166.0, 59750.0, 60554.0, 61357.0, 61138.0, 59677.0, 59385.0, 58508.0, 58801.0, 58874.0, 58947.0, 58654.0, 59458.0]..., số giá trị độc nhất: 365
Volume:
[2029999.9999999998, 1050000.0, 1340000.0, 951410.0, 686250.0, 995450.0, 1420000.0, 717460.0, 830930.0, 759780.0, 1290000.0, 1260000.0, 1760000.0, 1510000.0, 1180000.0, 2020000.0, 1390000.0, 1750000.0, 2290000.0, 1250000.0]..., số giá trị độc nhất: 386
Change %:
[0.0403, 0.0, 0.0075, -0.0037, 0.0013, 0.0062, -0.0025, -0.0087, 0.01, 0.0148, 0.0171, 0.006, 0.0012, -0.0036, -0.0024, -0.018000000000000002, -0.0012, -0.022000000000000002, 0.005, 0.0025]..., số giá trị độc nhất: 293
Các bản ghi bị trùng:
Close Open High Low Volume Change %
Date 
FPT_news_features.csv
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-05-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00
2023-05-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2025-04-11 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 713 entries, 2023-05-04 to 2025-04-15
Data columns (total 10 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   news_count             713 non-null    float64
 1   news_total_pos_kw      713 non-null    float64
 2   news_total_neg_kw      713 non-null    float64
 3   news_llm_sentiment     713 non-null    float64
 4   div_event_count        713 non-null    float64
 5   div_total_vnd          713 non-null    float64
 6   div_total_bonus_ratio  713 non-null    float64
 7   it_event_count         713 non-null    float64
 8   it_total_executed_vol  713 non-null    float64
 9   meeting_event_count    713 non-null    float64
dtypes: float64(10)
memory usage: 61.3 KB
None
Số giá trị bị rỗng:
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
dtype: int64
Thống kê các giá trị:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
count 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00 713.00
mean 1.27 1.05 0.02 0.12 1.50 1,000.00 3.33 1.11 -968,731.78 1.00
std 0.60 0.94 0.13 0.38 0.50 0.00 3.34 0.61 1,399,125.38 0.00
min 1.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
25% 1.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
50% 1.00 1.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -60,000.00 1.00
75% 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
max 3.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 
news_count                3
news_total_pos_kw         4
news_total_neg_kw         2
news_llm_sentiment        3
div_event_count           2
div_total_vnd             1
div_total_bonus_ratio     2
it_event_count            3
it_total_executed_vol    10
meeting_event_count       1
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
Các bản ghi bị trùng:
news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count
Date
2023-05-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-22 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-05-31 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-22 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-06-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00
2023-07-07 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-08 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-09 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-10 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-11 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-12 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-13 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-14 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-15 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-16 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-17 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-18 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-19 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-20 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-21 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-22 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-23 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-24 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00
2023-07-26 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-27 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-28 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-29 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-30 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-07-31 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-01 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-02 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-03 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-04 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-05 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-06 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-07 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-08 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-09 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-10 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-11 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-12 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-13 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-14 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-15 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-16 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-17 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-18 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-19 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-20 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-21 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-22 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-23 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-24 1.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 603,600.00 1.00
2023-08-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 603,600.00 1.00
2023-08-31 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-11 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-14 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-15 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-16 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-17 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-18 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-19 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-20 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-21 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 4.00 -1,000,000.00 1.00
2023-09-23 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-24 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-25 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-26 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-27 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-28 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-29 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-09-30 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-03 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-04 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-05 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-06 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-07 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-08 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-09 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-10 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 550,000.00 1.00
2023-10-12 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 0.00 1.00
2023-10-13 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 0.00 1.00
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2024-05-08 1.00 0.00 0.00 1.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
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2024-05-11 1.00 0.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00
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2025-02-05 1.00 0.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-02-28 1.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-03 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-04 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-05 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-06 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-08 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-09 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-11 3.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-16 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-17 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-21 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-22 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-24 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-03-26 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-27 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-28 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-03-29 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
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2025-04-01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-03 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-04 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-05 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-06 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-07 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-08 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-09 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-10 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-11 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-12 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-13 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-14 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00
2025-04-15 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 
prediction_CMG_bctc.csv
prediction_CMG_bctc
Date
2023-01-12 31,691.02
2023-01-13 31,687.28
2023-01-16 31,664.80
2023-01-17 31,664.80
2023-01-18 32,059.77
prediction_CMG_bctc
Date
2024-12-25 51,255.24
2024-12-26 51,255.24
2024-12-27 49,912.06
2024-12-30 49,912.06
2024-12-31 49,912.06 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 492 entries, 2023-01-12 to 2024-12-31
Data columns (total 1 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   prediction_CMG_bctc  492 non-null    float64
dtypes: float64(1)
memory usage: 7.7 KB
None
Số giá trị bị rỗng:
prediction_CMG_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_bctc
count 492.00
mean 41,042.15
std 6,881.79
min 31,664.80
25% 35,898.96
50% 38,684.38
75% 48,865.44
max 51,306.21 
prediction_CMG_bctc    215
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_CMG_bctc:
[31691.02210223359, 31687.283002712877, 31664.79769262038, 32059.76739071032, 32165.42842749107, 33082.786489533966, 33203.3664529299, 32884.48509838263, 33062.784286322014, 32889.051499696, 32729.49474456649, 32631.153359199623, 32452.85417126024, 32291.08273894128, 32293.361698122164, 32471.660886061534, 32522.20220555752, 31763.55917817004, 32015.621005889912, 31803.46796933564]..., số giá trị độc nhất: 215
Các bản ghi bị trùng:
prediction_CMG_bctc
Date
2023-01-17 31,664.80
2023-01-31 33,203.37
2023-02-03 33,082.79
2023-02-06 33,203.37
2023-02-13 32,631.15
2023-02-14 32,631.15
2023-02-15 32,452.85
2023-02-27 31,664.80
2023-02-28 31,803.47
2023-03-02 31,687.28
2023-03-03 31,664.80
2023-03-06 31,664.80
2023-03-07 31,664.80
2023-03-08 31,964.58
2023-03-09 31,687.28
2023-03-10 32,059.77
2023-03-14 31,664.80
2023-03-16 32,059.77
2023-03-20 31,691.02
2023-03-22 31,664.80
2023-03-23 31,687.28
2023-03-24 31,803.47
2023-03-27 31,664.80
2023-03-28 31,664.80
2023-03-29 31,664.80
2023-03-30 31,664.80
2023-03-31 31,664.80
2023-04-04 32,254.47
2023-04-11 32,674.22
2023-04-12 32,640.58
2023-04-14 32,812.20
2023-04-20 32,802.35
2023-04-21 32,802.35
2023-04-24 32,640.58
2023-04-26 32,623.68
2023-04-27 32,623.68
2023-04-28 32,640.58
2023-05-04 32,640.58
2023-05-05 32,640.58
2023-05-08 32,640.58
2023-05-09 32,623.68
2023-05-10 32,623.68
2023-05-11 32,623.68
2023-05-12 32,623.68
2023-05-15 32,623.68
2023-05-16 32,623.68
2023-05-18 32,484.72
2023-05-19 32,484.72
2023-05-25 32,393.68
2023-05-26 32,374.79
2023-05-30 32,397.41
2023-05-31 32,484.72
2023-06-02 32,500.31
2023-06-09 35,346.74
2023-06-12 35,346.74
2023-06-13 35,346.74
2023-06-15 35,175.69
2023-06-16 35,346.74
2023-06-19 35,346.74
2023-06-21 35,481.69
2023-06-23 35,346.74
2023-06-28 37,070.99
2023-06-30 36,593.30
2023-07-06 36,181.37
2023-07-07 36,181.37
2023-07-10 36,181.37
2023-07-21 37,289.40
2023-07-24 37,289.40
2023-07-27 36,700.77
2023-08-07 37,930.98
2023-08-08 38,004.65
2023-08-09 37,877.53
2023-08-11 37,691.61
2023-08-14 37,673.87
2023-08-15 37,673.87
2023-08-16 37,673.87
2023-08-23 37,673.87
2023-09-13 38,600.16
2023-09-21 37,692.10
2023-09-29 37,238.92
2023-10-04 36,294.97
2023-10-05 36,294.97
2023-10-06 36,294.97
2023-10-09 36,687.38
2023-10-19 36,883.59
2023-10-20 36,687.38
2023-10-23 36,294.97
2023-10-31 34,339.90
2023-11-01 34,339.90
2023-11-02 34,339.90
2023-11-03 34,339.90
2023-11-07 34,705.56
2023-11-10 35,828.04
2023-11-13 35,828.04
2023-11-14 35,972.76
2023-11-16 36,294.97
2023-11-17 36,294.97
2023-11-20 36,294.97
2023-11-21 37,029.55
2023-11-22 37,325.96
2023-11-23 37,197.74
2023-11-29 37,325.96
2023-11-30 37,325.96
2023-12-01 37,283.40
2023-12-06 37,325.96
2023-12-11 37,565.29
2023-12-12 37,565.29
2023-12-13 37,565.29
2023-12-14 37,565.29
2023-12-15 37,565.29
2023-12-19 37,749.54
2023-12-20 37,749.54
2023-12-21 37,749.54
2023-12-22 37,807.50
2024-01-03 42,162.64
2024-01-04 42,162.64
2024-01-09 40,428.00
2024-01-22 38,602.92
2024-01-24 37,924.52
2024-01-25 37,924.52
2024-02-07 39,774.10
2024-02-15 39,446.64
2024-02-19 39,171.35
2024-02-20 39,171.35
2024-02-21 39,080.99
2024-02-26 38,703.30
2024-02-29 38,728.89
2024-04-11 45,706.57
2024-04-12 45,706.57
2024-04-16 43,158.17
2024-04-17 43,140.50
2024-04-24 43,140.50
2024-04-25 43,140.50
2024-04-26 43,140.50
2024-05-06 44,201.21
2024-05-10 50,781.79
2024-05-13 50,781.79
2024-05-14 50,781.79
2024-05-15 50,781.79
2024-05-16 50,781.79
2024-05-17 50,781.79
2024-05-20 50,781.79
2024-05-21 50,781.79
2024-05-22 50,781.79
2024-05-23 50,781.79
2024-05-24 50,781.79
2024-05-27 50,781.79
2024-05-28 50,781.79
2024-05-29 50,781.79
2024-05-30 50,781.79
2024-05-31 50,781.79
2024-06-03 50,781.79
2024-06-04 50,781.79
2024-06-05 50,781.79
2024-06-06 50,781.79
2024-06-07 50,781.79
2024-06-10 50,781.79
2024-06-11 50,781.79
2024-06-12 50,781.79
2024-06-13 50,781.79
2024-06-14 50,781.79
2024-06-17 50,781.79
2024-06-18 50,781.79
2024-06-19 50,781.79
2024-06-20 50,781.79
2024-06-21 50,781.79
2024-06-24 50,781.79
2024-06-25 50,781.79
2024-06-26 50,781.79
2024-06-27 50,781.79
2024-06-28 50,781.79
2024-07-01 50,781.79
2024-07-02 50,781.79
2024-07-04 50,323.86
2024-07-08 50,286.97
2024-07-10 50,286.97
2024-07-11 50,286.97
2024-07-12 50,286.97
2024-07-15 50,286.97
2024-07-16 50,286.97
2024-07-17 50,323.86
2024-07-18 50,323.86
2024-07-19 50,323.86
2024-07-22 50,323.86
2024-07-23 50,323.86
2024-07-24 50,323.86
2024-07-26 50,323.86
2024-07-29 50,323.86
2024-07-30 50,323.86
2024-07-31 50,323.86
2024-08-02 48,980.68
2024-08-05 47,883.08
2024-08-06 47,883.08
2024-08-08 47,934.06
2024-08-09 47,934.06
2024-08-14 47,883.08
2024-08-15 47,883.08
2024-08-16 48,980.68
2024-08-19 48,980.68
2024-08-20 48,980.68
2024-08-21 48,980.68
2024-08-22 50,323.86
2024-08-23 50,323.86
2024-08-26 48,980.68
2024-08-27 48,980.68
2024-08-28 48,980.68
2024-08-29 48,980.68
2024-09-04 48,943.80
2024-09-05 48,980.68
2024-09-06 47,900.75
2024-09-09 47,883.08
2024-09-10 47,883.08
2024-09-11 47,883.08
2024-09-12 47,883.08
2024-09-13 47,883.08
2024-09-16 47,883.08
2024-09-17 47,883.08
2024-09-18 48,980.68
2024-09-19 48,943.80
2024-09-20 48,943.80
2024-09-25 47,863.87
2024-09-26 47,863.87
2024-09-27 47,846.20
2024-09-30 47,846.20
2024-10-01 47,846.20
2024-10-02 47,846.20
2024-10-04 48,520.14
2024-10-07 48,520.14
2024-10-09 48,520.14
2024-10-16 48,865.44
2024-10-17 48,883.10
2024-10-18 48,865.44
2024-10-21 49,963.03
2024-10-22 48,520.14
2024-10-23 48,520.14
2024-10-24 48,411.72
2024-10-25 48,520.14
2024-10-28 48,520.14
2024-10-30 48,883.10
2024-10-31 48,865.44
2024-11-01 48,865.44
2024-11-04 48,520.14
2024-11-05 48,411.72
2024-11-06 48,411.72
2024-11-07 48,537.80
2024-11-12 51,306.21
2024-11-13 51,306.21
2024-11-14 51,306.21
2024-11-15 51,306.21
2024-11-20 49,509.32
2024-11-21 49,509.32
2024-11-22 49,509.32
2024-11-26 49,617.74
2024-11-27 49,963.03
2024-11-28 49,963.03
2024-11-29 51,306.21
2024-12-02 51,306.21
2024-12-04 51,255.24
2024-12-05 51,255.24
2024-12-06 51,255.24
2024-12-09 51,255.24
2024-12-10 51,255.24
2024-12-11 51,255.24
2024-12-12 51,255.24
2024-12-13 49,912.06
2024-12-16 51,255.24
2024-12-17 51,255.24
2024-12-18 51,255.24
2024-12-19 51,255.24
2024-12-20 51,255.24
2024-12-23 51,255.24
2024-12-24 51,255.24
2024-12-25 51,255.24
2024-12-26 51,255.24
2024-12-27 49,912.06
2024-12-30 49,912.06
2024-12-31 49,912.06 
prediction_CMG_market.csv
prediction_CMG_market
Date
2024-03-22 38,785.82
2024-03-25 38,713.03
2024-03-26 38,783.49
2024-03-27 38,719.68
2024-03-28 38,941.67
prediction_CMG_market
Date
2025-03-06 43,374.96
2025-03-07 43,337.43
2025-03-10 43,264.80
2025-03-11 43,041.64
2025-03-12 42,000.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 242 entries, 2024-03-22 to 2025-03-12
Data columns (total 1 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   prediction_CMG_market  242 non-null    float64
dtypes: float64(1)
memory usage: 3.8 KB
None
Số giá trị bị rỗng:
prediction_CMG_market    0
dtype: int64
Thống kê các giá trị:
prediction_CMG_market
count 242.00
mean 47,384.42
std 5,527.41
min 38,592.90
25% 43,750.34
50% 45,786.01
75% 49,931.66
max 60,690.67 
prediction_CMG_market    240
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_CMG_market:
[38785.82421949801, 38713.03209015034, 38783.48943121989, 38719.67724416648, 38941.66941395765, 38741.34336509788, 38592.90349846667, 39991.46402564617, 40471.236225831846, 40562.83205027087, 40394.858767940335, 43055.32934801685, 43495.20812864155, 43443.468835689935, 44729.6564445988, 42341.0635570966, 41705.6560556322, 39431.30937033029, 39022.59853310349, 39490.45993710206]..., số giá trị độc nhất: 240
Các bản ghi bị trùng:
prediction_CMG_market
Date
2024-04-02 38,741.34
2025-03-10 43,264.80 
prediction_FPT_bctc.csv
prediction_FPT_bctc
Date
2023-01-12 58,933.42
2023-01-13 58,433.20
2023-01-16 58,928.64
2023-01-17 59,673.84
2023-01-18 60,750.73
prediction_FPT_bctc
Date
2024-12-25 106,214.87
2024-12-26 106,121.79
2024-12-27 106,115.48
2024-12-30 106,121.79
2024-12-31 106,192.69 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 492 entries, 2023-01-12 to 2024-12-31
Data columns (total 1 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   prediction_FPT_bctc  492 non-null    float64
dtypes: float64(1)
memory usage: 7.7 KB
None
Số giá trị bị rỗng:
prediction_FPT_bctc    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_bctc
count 492.00
mean 90,087.73
std 19,286.99
min 56,867.73
25% 68,762.85
50% 95,984.29
75% 106,379.19
max 112,644.38 
prediction_FPT_bctc    385
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_FPT_bctc:
[58933.418, 58433.203, 58928.645, 59673.836, 60750.73, 60916.79, 60930.81, 60787.57, 60729.094, 59624.78, 59579.145, 58379.848, 58826.22, 58953.387, 59133.402, 58925.348, 58938.566, 59678.984, 59660.797, 59656.348]..., số giá trị độc nhất: 385
Các bản ghi bị trùng:
prediction_FPT_bctc
Date
2023-02-10 58,925.35
2023-02-14 58,938.57
2023-03-31 57,765.46
2023-04-19 63,078.31
2023-04-21 63,078.31
2023-04-27 62,544.36
2023-06-02 65,638.41
2023-06-07 65,534.06
2023-06-15 65,675.70
2023-06-21 65,594.91
2023-06-22 65,594.91
2023-06-23 65,507.85
2023-08-11 73,578.57
2023-11-20 84,405.65
2023-11-21 84,431.88
2023-11-28 84,431.88
2024-01-26 93,338.30
2024-01-31 93,338.30
2024-02-07 96,638.76
2024-02-15 96,638.76
2024-03-11 102,095.90
2024-03-22 101,758.22
2024-03-29 101,805.74
2024-04-12 101,966.15
2024-06-07 112,057.08
2024-06-14 112,171.39
2024-06-17 112,171.39
2024-06-20 112,151.24
2024-06-24 112,171.39
2024-06-25 112,151.24
2024-06-26 112,151.24
2024-06-28 112,151.24
2024-07-11 111,541.61
2024-07-12 111,541.61
2024-07-15 111,541.61
2024-07-16 111,541.61
2024-07-30 110,931.91
2024-07-31 110,931.91
2024-08-01 110,882.05
2024-08-13 110,931.91
2024-08-14 110,870.12
2024-08-15 110,931.91
2024-08-16 111,479.96
2024-08-19 110,931.91
2024-08-22 110,993.55
2024-08-23 110,993.55
2024-08-26 111,083.26
2024-08-27 111,556.74
2024-08-28 110,993.55
2024-08-29 110,993.55
2024-09-04 110,993.55
2024-09-05 111,479.96
2024-09-09 111,083.26
2024-09-10 110,931.91
2024-09-11 111,479.96
2024-09-12 111,008.68
2024-09-13 110,993.55
2024-09-16 111,083.26
2024-09-17 111,008.68
2024-09-18 110,993.55
2024-09-19 111,028.90
2024-09-20 111,028.90
2024-09-23 110,993.55
2024-09-24 111,541.61
2024-09-25 110,993.55
2024-09-26 111,541.61
2024-09-27 110,993.55
2024-09-30 110,993.55
2024-10-16 106,535.21
2024-10-17 106,535.21
2024-10-24 106,266.97
2024-10-25 106,266.97
2024-10-28 106,364.22
2024-10-29 106,364.22
2024-10-30 106,535.21
2024-10-31 106,535.21
2024-11-01 106,266.97
2024-11-04 106,266.97
2024-11-05 106,266.97
2024-11-06 106,266.97
2024-11-07 106,364.22
2024-11-08 106,535.21
2024-11-12 106,535.21
2024-11-14 106,535.21
2024-11-18 106,281.20
2024-11-19 106,281.20
2024-11-20 106,281.20
2024-11-22 106,281.01
2024-11-25 106,266.97
2024-11-26 106,364.22
2024-11-28 105,873.95
2024-12-04 106,121.79
2024-12-06 106,115.48
2024-12-09 106,115.48
2024-12-11 106,121.79
2024-12-12 106,125.06
2024-12-13 106,115.48
2024-12-16 106,125.06
2024-12-17 106,115.48
2024-12-18 106,115.48
2024-12-19 106,115.48
2024-12-20 106,115.48
2024-12-23 106,121.79
2024-12-24 106,121.79
2024-12-26 106,121.79
2024-12-27 106,115.48
2024-12-30 106,121.79 
prediction_FPT_market.csv
prediction_FPT_market
Date
2024-03-22 102,364.91
2024-03-25 102,364.91
2024-03-26 101,448.35
2024-03-27 102,364.91
2024-03-28 102,222.91
prediction_FPT_market
Date
2025-03-06 137,496.53
2025-03-07 137,496.53
2025-03-10 137,496.53
2025-03-11 137,496.53
2025-03-12 137,496.53 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 242 entries, 2024-03-22 to 2025-03-12
Data columns (total 1 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   prediction_FPT_market  242 non-null    float64
dtypes: float64(1)
memory usage: 3.8 KB
None
Số giá trị bị rỗng:
prediction_FPT_market    0
dtype: int64
Thống kê các giá trị:
prediction_FPT_market
count 242.00
mean 128,845.17
std 11,630.44
min 100,112.28
25% 127,627.96
50% 134,026.63
75% 137,496.53
max 137,643.98 
prediction_FPT_market    110
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
prediction_FPT_market:
[102364.914, 101448.35, 102222.914, 103004.69, 101195.49, 101395.98, 100496.65, 100112.28, 100549.02, 103182.51, 105880.4, 106352.57, 111537.71, 111065.54, 114489.555, 114627.94, 115217.734, 115571.586, 115778.53, 116737.56]..., số giá trị độc nhất: 110
Các bản ghi bị trùng:
prediction_FPT_market
Date
2024-03-25 102,364.91
2024-03-27 102,364.91
2024-03-29 102,222.91
2024-04-01 102,222.91
2024-04-03 103,004.69
2024-04-04 103,004.69
2024-04-05 102,222.91
2024-04-08 102,222.91
2024-04-09 102,364.91
2024-04-11 101,448.35
2024-04-12 101,448.35
2024-04-15 101,448.35
2024-04-16 101,195.49
2024-04-22 100,496.65
2024-04-25 102,364.91
2024-04-26 102,222.91
2024-05-09 111,065.54
2024-05-13 114,489.55
2024-05-14 114,489.55
2024-05-17 115,217.73
2024-05-20 115,217.73
2024-05-24 115,217.73
2024-05-27 115,778.53
2024-05-28 115,778.53
2024-05-31 115,217.73
2024-06-03 115,778.53
2024-06-07 120,876.73
2024-07-12 135,780.39
2024-07-15 135,780.39
2024-07-18 133,225.95
2024-07-29 128,492.92
2024-07-30 128,492.92
2024-07-31 128,492.92
2024-08-01 128,492.92
2024-08-05 127,642.55
2024-08-12 126,428.39
2024-08-13 127,623.10
2024-08-15 128,492.92
2024-08-19 129,989.52
2024-08-21 131,152.84
2024-08-22 131,773.69
2024-08-23 132,571.69
2024-08-28 133,132.16
2024-09-05 133,132.16
2024-09-06 133,225.95
2024-09-16 131,860.70
2024-09-30 135,200.73
2024-10-01 135,217.48
2024-10-02 135,217.48
2024-10-03 135,217.48
2024-10-04 135,217.48
2024-10-09 135,185.39
2024-10-11 136,002.77
2024-10-17 137,462.14
2024-10-18 137,462.14
2024-10-21 137,462.14
2024-10-23 135,780.39
2024-10-25 135,038.84
2024-10-29 135,022.10
2024-11-04 135,038.84
2024-11-05 135,022.10
2024-11-06 135,022.10
2024-11-07 135,022.10
2024-11-12 135,149.50
2024-11-14 135,856.23
2024-11-18 135,780.39
2024-11-19 135,350.48
2024-11-26 133,889.16
2024-12-02 137,450.73
2024-12-04 137,496.53
2024-12-05 137,496.53
2024-12-09 137,583.62
2024-12-10 137,583.62
2024-12-11 137,496.53
2024-12-12 137,496.53
2024-12-13 137,496.53
2024-12-16 137,496.53
2024-12-17 137,496.53
2024-12-18 137,496.53
2024-12-19 137,496.53
2024-12-20 137,496.53
2024-12-23 137,496.53
2024-12-24 137,496.53
2024-12-25 137,496.53
2024-12-26 137,496.53
2024-12-27 137,496.53
2024-12-30 137,583.62
2024-12-31 137,583.62
2025-01-02 137,583.62
2025-01-06 137,496.53
2025-01-07 137,496.53
2025-01-08 137,496.53
2025-01-09 137,496.53
2025-01-10 137,496.53
2025-01-13 137,496.53
2025-01-14 137,496.53
2025-01-15 137,496.53
2025-01-16 137,496.53
2025-01-17 137,496.53
2025-01-20 137,496.53
2025-01-21 137,496.53
2025-01-22 137,496.53
2025-01-23 137,496.53
2025-01-24 137,496.53
2025-02-03 137,583.62
2025-02-04 137,583.62
2025-02-05 137,583.62
2025-02-06 137,496.53
2025-02-07 137,583.62
2025-02-10 137,496.53
2025-02-11 137,496.53
2025-02-12 137,496.53
2025-02-13 137,496.53
2025-02-14 137,496.53
2025-02-17 137,496.53
2025-02-18 137,496.53
2025-02-19 137,496.53
2025-02-20 137,583.62
2025-02-21 137,583.62
2025-02-24 137,583.62
2025-02-25 137,583.62
2025-02-26 137,496.53
2025-02-27 137,496.53
2025-02-28 137,496.53
2025-03-03 137,496.53
2025-03-04 137,496.53
2025-03-05 137,496.53
2025-03-06 137,496.53
2025-03-07 137,496.53
2025-03-10 137,496.53
2025-03-11 137,496.53
2025-03-12 137,496.53
In [15]:
all_dates = []
for key, value in data.items():
    all_dates.extend(value.index.to_list())
all_dates
Out[15]:
[Timestamp('2023-03-14 00:00:00'),
 Timestamp('2023-03-15 00:00:00'),
 Timestamp('2023-03-16 00:00:00'),
 Timestamp('2023-03-17 00:00:00'),
 Timestamp('2023-03-18 00:00:00'),
 Timestamp('2023-03-19 00:00:00'),
 Timestamp('2023-03-20 00:00:00'),
 Timestamp('2023-03-21 00:00:00'),
 Timestamp('2023-03-22 00:00:00'),
 Timestamp('2023-03-23 00:00:00'),
 Timestamp('2023-03-24 00:00:00'),
 Timestamp('2023-03-25 00:00:00'),
 Timestamp('2023-03-26 00:00:00'),
 Timestamp('2023-03-27 00:00:00'),
 Timestamp('2023-03-28 00:00:00'),
 Timestamp('2023-03-29 00:00:00'),
 Timestamp('2023-03-30 00:00:00'),
 Timestamp('2023-03-31 00:00:00'),
 Timestamp('2023-04-01 00:00:00'),
 Timestamp('2023-04-02 00:00:00'),
 Timestamp('2023-04-03 00:00:00'),
 Timestamp('2023-04-04 00:00:00'),
 Timestamp('2023-04-05 00:00:00'),
 Timestamp('2023-04-06 00:00:00'),
 Timestamp('2023-04-07 00:00:00'),
 Timestamp('2023-04-08 00:00:00'),
 Timestamp('2023-04-09 00:00:00'),
 Timestamp('2023-04-10 00:00:00'),
 Timestamp('2023-04-11 00:00:00'),
 Timestamp('2023-04-12 00:00:00'),
 Timestamp('2023-04-13 00:00:00'),
 Timestamp('2023-04-14 00:00:00'),
 Timestamp('2023-04-15 00:00:00'),
 Timestamp('2023-04-16 00:00:00'),
 Timestamp('2023-04-17 00:00:00'),
 Timestamp('2023-04-18 00:00:00'),
 Timestamp('2023-04-19 00:00:00'),
 Timestamp('2023-04-20 00:00:00'),
 Timestamp('2023-04-21 00:00:00'),
 Timestamp('2023-04-22 00:00:00'),
 Timestamp('2023-04-23 00:00:00'),
 Timestamp('2023-04-24 00:00:00'),
 Timestamp('2023-04-25 00:00:00'),
 Timestamp('2023-04-26 00:00:00'),
 Timestamp('2023-04-27 00:00:00'),
 Timestamp('2023-04-28 00:00:00'),
 Timestamp('2023-04-29 00:00:00'),
 Timestamp('2023-04-30 00:00:00'),
 Timestamp('2023-05-01 00:00:00'),
 Timestamp('2023-05-02 00:00:00'),
 Timestamp('2023-05-03 00:00:00'),
 Timestamp('2023-05-04 00:00:00'),
 Timestamp('2023-05-05 00:00:00'),
 Timestamp('2023-05-06 00:00:00'),
 Timestamp('2023-05-07 00:00:00'),
 Timestamp('2023-05-08 00:00:00'),
 Timestamp('2023-05-09 00:00:00'),
 Timestamp('2023-05-10 00:00:00'),
 Timestamp('2023-05-11 00:00:00'),
 Timestamp('2023-05-12 00:00:00'),
 Timestamp('2023-05-13 00:00:00'),
 Timestamp('2023-05-14 00:00:00'),
 Timestamp('2023-05-15 00:00:00'),
 Timestamp('2023-05-16 00:00:00'),
 Timestamp('2023-05-17 00:00:00'),
 Timestamp('2023-05-18 00:00:00'),
 Timestamp('2023-05-19 00:00:00'),
 Timestamp('2023-05-20 00:00:00'),
 Timestamp('2023-05-21 00:00:00'),
 Timestamp('2023-05-22 00:00:00'),
 Timestamp('2023-05-23 00:00:00'),
 Timestamp('2023-05-24 00:00:00'),
 Timestamp('2023-05-25 00:00:00'),
 Timestamp('2023-05-26 00:00:00'),
 Timestamp('2023-05-27 00:00:00'),
 Timestamp('2023-05-28 00:00:00'),
 Timestamp('2023-05-29 00:00:00'),
 Timestamp('2023-05-30 00:00:00'),
 Timestamp('2023-05-31 00:00:00'),
 Timestamp('2023-06-01 00:00:00'),
 Timestamp('2023-06-02 00:00:00'),
 Timestamp('2023-06-03 00:00:00'),
 Timestamp('2023-06-04 00:00:00'),
 Timestamp('2023-06-05 00:00:00'),
 Timestamp('2023-06-06 00:00:00'),
 Timestamp('2023-06-07 00:00:00'),
 Timestamp('2023-06-08 00:00:00'),
 Timestamp('2023-06-09 00:00:00'),
 Timestamp('2023-06-10 00:00:00'),
 Timestamp('2023-06-11 00:00:00'),
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 Timestamp('2024-10-05 00:00:00'),
 Timestamp('2024-10-06 00:00:00'),
 Timestamp('2024-10-07 00:00:00'),
 Timestamp('2024-10-08 00:00:00'),
 Timestamp('2024-10-09 00:00:00'),
 Timestamp('2024-10-10 00:00:00'),
 Timestamp('2024-10-11 00:00:00'),
 Timestamp('2024-10-12 00:00:00'),
 Timestamp('2024-10-13 00:00:00'),
 Timestamp('2024-10-14 00:00:00'),
 Timestamp('2024-10-15 00:00:00'),
 Timestamp('2024-10-16 00:00:00'),
 Timestamp('2024-10-17 00:00:00'),
 Timestamp('2024-10-18 00:00:00'),
 Timestamp('2024-10-19 00:00:00'),
 Timestamp('2024-10-20 00:00:00'),
 Timestamp('2024-10-21 00:00:00'),
 Timestamp('2024-10-22 00:00:00'),
 Timestamp('2024-10-23 00:00:00'),
 Timestamp('2024-10-24 00:00:00'),
 Timestamp('2024-10-25 00:00:00'),
 Timestamp('2024-10-26 00:00:00'),
 Timestamp('2024-10-27 00:00:00'),
 Timestamp('2024-10-28 00:00:00'),
 Timestamp('2024-10-29 00:00:00'),
 Timestamp('2024-10-30 00:00:00'),
 Timestamp('2024-10-31 00:00:00'),
 Timestamp('2024-11-01 00:00:00'),
 Timestamp('2024-11-02 00:00:00'),
 Timestamp('2024-11-03 00:00:00'),
 Timestamp('2024-11-04 00:00:00'),
 Timestamp('2024-11-05 00:00:00'),
 Timestamp('2024-11-06 00:00:00'),
 Timestamp('2024-11-07 00:00:00'),
 Timestamp('2024-11-08 00:00:00'),
 Timestamp('2024-11-09 00:00:00'),
 Timestamp('2024-11-10 00:00:00'),
 Timestamp('2024-11-11 00:00:00'),
 Timestamp('2024-11-12 00:00:00'),
 Timestamp('2024-11-13 00:00:00'),
 Timestamp('2024-11-14 00:00:00'),
 Timestamp('2024-11-15 00:00:00'),
 Timestamp('2024-11-16 00:00:00'),
 Timestamp('2024-11-17 00:00:00'),
 Timestamp('2024-11-18 00:00:00'),
 Timestamp('2024-11-19 00:00:00'),
 Timestamp('2024-11-20 00:00:00'),
 Timestamp('2024-11-21 00:00:00'),
 Timestamp('2024-11-22 00:00:00'),
 Timestamp('2024-11-23 00:00:00'),
 Timestamp('2024-11-24 00:00:00'),
 Timestamp('2024-11-25 00:00:00'),
 Timestamp('2024-11-26 00:00:00'),
 Timestamp('2024-11-27 00:00:00'),
 Timestamp('2024-11-28 00:00:00'),
 Timestamp('2024-11-29 00:00:00'),
 Timestamp('2024-11-30 00:00:00'),
 Timestamp('2024-12-01 00:00:00'),
 Timestamp('2024-12-02 00:00:00'),
 Timestamp('2024-12-03 00:00:00'),
 Timestamp('2024-12-04 00:00:00'),
 Timestamp('2024-12-05 00:00:00'),
 Timestamp('2024-12-06 00:00:00'),
 Timestamp('2024-12-07 00:00:00'),
 Timestamp('2024-12-08 00:00:00'),
 Timestamp('2024-12-09 00:00:00'),
 Timestamp('2024-12-10 00:00:00'),
 Timestamp('2024-12-11 00:00:00'),
 Timestamp('2024-12-12 00:00:00'),
 Timestamp('2024-12-13 00:00:00'),
 Timestamp('2024-12-14 00:00:00'),
 Timestamp('2024-12-15 00:00:00'),
 Timestamp('2024-12-16 00:00:00'),
 Timestamp('2024-12-17 00:00:00'),
 Timestamp('2024-12-18 00:00:00'),
 Timestamp('2024-12-19 00:00:00'),
 Timestamp('2024-12-20 00:00:00'),
 Timestamp('2024-12-21 00:00:00'),
 Timestamp('2024-12-22 00:00:00'),
 Timestamp('2024-12-23 00:00:00'),
 Timestamp('2024-12-24 00:00:00'),
 Timestamp('2024-12-25 00:00:00'),
 Timestamp('2024-12-26 00:00:00'),
 Timestamp('2024-12-27 00:00:00'),
 Timestamp('2024-12-28 00:00:00'),
 Timestamp('2024-12-29 00:00:00'),
 Timestamp('2024-12-30 00:00:00'),
 Timestamp('2024-12-31 00:00:00'),
 Timestamp('2025-01-01 00:00:00'),
 Timestamp('2025-01-02 00:00:00'),
 Timestamp('2025-01-03 00:00:00'),
 Timestamp('2025-01-04 00:00:00'),
 Timestamp('2025-01-05 00:00:00'),
 Timestamp('2025-01-06 00:00:00'),
 Timestamp('2025-01-07 00:00:00'),
 Timestamp('2025-01-08 00:00:00'),
 Timestamp('2025-01-09 00:00:00'),
 Timestamp('2025-01-10 00:00:00'),
 Timestamp('2025-01-11 00:00:00'),
 Timestamp('2025-01-12 00:00:00'),
 Timestamp('2025-01-13 00:00:00'),
 Timestamp('2025-01-14 00:00:00'),
 Timestamp('2025-01-15 00:00:00'),
 Timestamp('2025-01-16 00:00:00'),
 Timestamp('2025-01-17 00:00:00'),
 Timestamp('2025-01-18 00:00:00'),
 Timestamp('2025-01-19 00:00:00'),
 Timestamp('2025-01-20 00:00:00'),
 Timestamp('2025-01-21 00:00:00'),
 Timestamp('2025-01-22 00:00:00'),
 Timestamp('2025-01-23 00:00:00'),
 Timestamp('2025-01-24 00:00:00'),
 Timestamp('2025-01-25 00:00:00'),
 Timestamp('2025-01-26 00:00:00'),
 Timestamp('2025-01-27 00:00:00'),
 Timestamp('2025-01-28 00:00:00'),
 Timestamp('2025-01-29 00:00:00'),
 Timestamp('2025-01-30 00:00:00'),
 Timestamp('2025-01-31 00:00:00'),
 Timestamp('2025-02-01 00:00:00'),
 Timestamp('2025-02-02 00:00:00'),
 Timestamp('2025-02-03 00:00:00'),
 Timestamp('2025-02-04 00:00:00'),
 Timestamp('2025-02-05 00:00:00'),
 Timestamp('2025-02-06 00:00:00'),
 Timestamp('2025-02-07 00:00:00'),
 Timestamp('2025-02-08 00:00:00'),
 Timestamp('2025-02-09 00:00:00'),
 Timestamp('2025-02-10 00:00:00'),
 Timestamp('2025-02-11 00:00:00'),
 Timestamp('2025-02-12 00:00:00'),
 Timestamp('2025-02-13 00:00:00'),
 Timestamp('2025-02-14 00:00:00'),
 Timestamp('2025-02-15 00:00:00'),
 Timestamp('2025-02-16 00:00:00'),
 Timestamp('2025-02-17 00:00:00'),
 Timestamp('2025-02-18 00:00:00'),
 Timestamp('2025-02-19 00:00:00'),
 Timestamp('2025-02-20 00:00:00'),
 Timestamp('2025-02-21 00:00:00'),
 Timestamp('2025-02-22 00:00:00'),
 Timestamp('2025-02-23 00:00:00'),
 Timestamp('2025-02-24 00:00:00'),
 Timestamp('2025-02-25 00:00:00'),
 Timestamp('2023-01-03 00:00:00'),
 Timestamp('2023-01-04 00:00:00'),
 Timestamp('2023-01-05 00:00:00'),
 Timestamp('2023-01-06 00:00:00'),
 Timestamp('2023-01-09 00:00:00'),
 Timestamp('2023-01-10 00:00:00'),
 Timestamp('2023-01-11 00:00:00'),
 Timestamp('2023-01-12 00:00:00'),
 Timestamp('2023-01-13 00:00:00'),
 Timestamp('2023-01-16 00:00:00'),
 Timestamp('2023-01-17 00:00:00'),
 Timestamp('2023-01-18 00:00:00'),
 Timestamp('2023-01-19 00:00:00'),
 Timestamp('2023-01-27 00:00:00'),
 Timestamp('2023-01-30 00:00:00'),
 Timestamp('2023-01-31 00:00:00'),
 Timestamp('2023-02-01 00:00:00'),
 Timestamp('2023-02-02 00:00:00'),
 Timestamp('2023-02-03 00:00:00'),
 Timestamp('2023-02-06 00:00:00'),
 Timestamp('2023-02-07 00:00:00'),
 Timestamp('2023-02-08 00:00:00'),
 Timestamp('2023-02-09 00:00:00'),
 Timestamp('2023-02-10 00:00:00'),
 Timestamp('2023-02-13 00:00:00'),
 Timestamp('2023-02-14 00:00:00'),
 Timestamp('2023-02-15 00:00:00'),
 Timestamp('2023-02-16 00:00:00'),
 Timestamp('2023-02-17 00:00:00'),
 Timestamp('2023-02-20 00:00:00'),
 Timestamp('2023-02-21 00:00:00'),
 Timestamp('2023-02-22 00:00:00'),
 Timestamp('2023-02-23 00:00:00'),
 Timestamp('2023-02-24 00:00:00'),
 Timestamp('2023-02-27 00:00:00'),
 Timestamp('2023-02-28 00:00:00'),
 Timestamp('2023-03-01 00:00:00'),
 Timestamp('2023-03-02 00:00:00'),
 Timestamp('2023-03-03 00:00:00'),
 Timestamp('2023-03-06 00:00:00'),
 Timestamp('2023-03-07 00:00:00'),
 Timestamp('2023-03-08 00:00:00'),
 Timestamp('2023-03-09 00:00:00'),
 Timestamp('2023-03-10 00:00:00'),
 Timestamp('2023-03-13 00:00:00'),
 Timestamp('2023-03-14 00:00:00'),
 Timestamp('2023-03-15 00:00:00'),
 Timestamp('2023-03-16 00:00:00'),
 Timestamp('2023-03-17 00:00:00'),
 Timestamp('2023-03-20 00:00:00'),
 Timestamp('2023-03-21 00:00:00'),
 Timestamp('2023-03-22 00:00:00'),
 Timestamp('2023-03-23 00:00:00'),
 Timestamp('2023-03-24 00:00:00'),
 Timestamp('2023-03-27 00:00:00'),
 Timestamp('2023-03-28 00:00:00'),
 Timestamp('2023-03-29 00:00:00'),
 Timestamp('2023-03-30 00:00:00'),
 Timestamp('2023-03-31 00:00:00'),
 Timestamp('2023-04-03 00:00:00'),
 Timestamp('2023-04-04 00:00:00'),
 Timestamp('2023-04-05 00:00:00'),
 Timestamp('2023-04-06 00:00:00'),
 Timestamp('2023-04-07 00:00:00'),
 Timestamp('2023-04-10 00:00:00'),
 Timestamp('2023-04-11 00:00:00'),
 Timestamp('2023-04-12 00:00:00'),
 Timestamp('2023-04-13 00:00:00'),
 Timestamp('2023-04-14 00:00:00'),
 Timestamp('2023-04-17 00:00:00'),
 Timestamp('2023-04-18 00:00:00'),
 Timestamp('2023-04-19 00:00:00'),
 Timestamp('2023-04-20 00:00:00'),
 Timestamp('2023-04-21 00:00:00'),
 Timestamp('2023-04-24 00:00:00'),
 Timestamp('2023-04-25 00:00:00'),
 Timestamp('2023-04-26 00:00:00'),
 Timestamp('2023-04-27 00:00:00'),
 Timestamp('2023-04-28 00:00:00'),
 Timestamp('2023-05-04 00:00:00'),
 Timestamp('2023-05-05 00:00:00'),
 Timestamp('2023-05-08 00:00:00'),
 Timestamp('2023-05-09 00:00:00'),
 Timestamp('2023-05-10 00:00:00'),
 Timestamp('2023-05-11 00:00:00'),
 Timestamp('2023-05-12 00:00:00'),
 Timestamp('2023-05-15 00:00:00'),
 Timestamp('2023-05-16 00:00:00'),
 Timestamp('2023-05-17 00:00:00'),
 Timestamp('2023-05-18 00:00:00'),
 Timestamp('2023-05-19 00:00:00'),
 Timestamp('2023-05-22 00:00:00'),
 Timestamp('2023-05-23 00:00:00'),
 Timestamp('2023-05-24 00:00:00'),
 Timestamp('2023-05-25 00:00:00'),
 Timestamp('2023-05-26 00:00:00'),
 Timestamp('2023-05-29 00:00:00'),
 Timestamp('2023-05-30 00:00:00'),
 Timestamp('2023-05-31 00:00:00'),
 Timestamp('2023-06-01 00:00:00'),
 Timestamp('2023-06-02 00:00:00'),
 Timestamp('2023-06-05 00:00:00'),
 Timestamp('2023-06-06 00:00:00'),
 Timestamp('2023-06-07 00:00:00'),
 Timestamp('2023-06-08 00:00:00'),
 Timestamp('2023-06-09 00:00:00'),
 Timestamp('2023-06-12 00:00:00'),
 Timestamp('2023-06-13 00:00:00'),
 Timestamp('2023-06-14 00:00:00'),
 Timestamp('2023-06-15 00:00:00'),
 Timestamp('2023-06-16 00:00:00'),
 Timestamp('2023-06-19 00:00:00'),
 Timestamp('2023-06-20 00:00:00'),
 Timestamp('2023-06-21 00:00:00'),
 Timestamp('2023-06-22 00:00:00'),
 Timestamp('2023-06-23 00:00:00'),
 Timestamp('2023-06-26 00:00:00'),
 Timestamp('2023-06-27 00:00:00'),
 Timestamp('2023-06-28 00:00:00'),
 Timestamp('2023-06-29 00:00:00'),
 Timestamp('2023-06-30 00:00:00'),
 Timestamp('2023-07-03 00:00:00'),
 Timestamp('2023-07-04 00:00:00'),
 Timestamp('2023-07-05 00:00:00'),
 Timestamp('2023-07-06 00:00:00'),
 Timestamp('2023-07-07 00:00:00'),
 Timestamp('2023-07-10 00:00:00'),
 Timestamp('2023-07-11 00:00:00'),
 Timestamp('2023-07-12 00:00:00'),
 Timestamp('2023-07-13 00:00:00'),
 Timestamp('2023-07-14 00:00:00'),
 Timestamp('2023-07-17 00:00:00'),
 Timestamp('2023-07-18 00:00:00'),
 Timestamp('2023-07-19 00:00:00'),
 Timestamp('2023-07-20 00:00:00'),
 Timestamp('2023-07-21 00:00:00'),
 Timestamp('2023-07-24 00:00:00'),
 Timestamp('2023-07-25 00:00:00'),
 Timestamp('2023-07-26 00:00:00'),
 Timestamp('2023-07-27 00:00:00'),
 Timestamp('2023-07-28 00:00:00'),
 Timestamp('2023-07-31 00:00:00'),
 Timestamp('2023-08-01 00:00:00'),
 Timestamp('2023-08-02 00:00:00'),
 Timestamp('2023-08-03 00:00:00'),
 Timestamp('2023-08-04 00:00:00'),
 Timestamp('2023-08-07 00:00:00'),
 Timestamp('2023-08-08 00:00:00'),
 Timestamp('2023-08-09 00:00:00'),
 Timestamp('2023-08-10 00:00:00'),
 Timestamp('2023-08-11 00:00:00'),
 Timestamp('2023-08-14 00:00:00'),
 Timestamp('2023-08-15 00:00:00'),
 Timestamp('2023-08-16 00:00:00'),
 Timestamp('2023-08-17 00:00:00'),
 Timestamp('2023-08-18 00:00:00'),
 Timestamp('2023-08-21 00:00:00'),
 Timestamp('2023-08-22 00:00:00'),
 Timestamp('2023-08-23 00:00:00'),
 Timestamp('2023-08-24 00:00:00'),
 Timestamp('2023-08-25 00:00:00'),
 Timestamp('2023-08-28 00:00:00'),
 Timestamp('2023-08-29 00:00:00'),
 Timestamp('2023-08-30 00:00:00'),
 Timestamp('2023-08-31 00:00:00'),
 Timestamp('2023-09-05 00:00:00'),
 Timestamp('2023-09-06 00:00:00'),
 Timestamp('2023-09-07 00:00:00'),
 Timestamp('2023-09-08 00:00:00'),
 Timestamp('2023-09-11 00:00:00'),
 Timestamp('2023-09-12 00:00:00'),
 Timestamp('2023-09-13 00:00:00'),
 Timestamp('2023-09-14 00:00:00'),
 Timestamp('2023-09-15 00:00:00'),
 Timestamp('2023-09-18 00:00:00'),
 Timestamp('2023-09-19 00:00:00'),
 Timestamp('2023-09-20 00:00:00'),
 Timestamp('2023-09-21 00:00:00'),
 Timestamp('2023-09-22 00:00:00'),
 Timestamp('2023-09-25 00:00:00'),
 Timestamp('2023-09-26 00:00:00'),
 Timestamp('2023-09-27 00:00:00'),
 Timestamp('2023-09-28 00:00:00'),
 Timestamp('2023-09-29 00:00:00'),
 Timestamp('2023-10-02 00:00:00'),
 Timestamp('2023-10-03 00:00:00'),
 Timestamp('2023-10-04 00:00:00'),
 Timestamp('2023-10-05 00:00:00'),
 Timestamp('2023-10-06 00:00:00'),
 Timestamp('2023-10-09 00:00:00'),
 Timestamp('2023-10-10 00:00:00'),
 Timestamp('2023-10-11 00:00:00'),
 Timestamp('2023-10-12 00:00:00'),
 Timestamp('2023-10-13 00:00:00'),
 Timestamp('2023-10-16 00:00:00'),
 Timestamp('2023-10-17 00:00:00'),
 Timestamp('2023-10-18 00:00:00'),
 Timestamp('2023-10-19 00:00:00'),
 Timestamp('2023-10-20 00:00:00'),
 Timestamp('2023-10-23 00:00:00'),
 Timestamp('2023-10-24 00:00:00'),
 Timestamp('2023-10-25 00:00:00'),
 Timestamp('2023-10-26 00:00:00'),
 Timestamp('2023-10-27 00:00:00'),
 Timestamp('2023-10-30 00:00:00'),
 Timestamp('2023-10-31 00:00:00'),
 Timestamp('2023-11-01 00:00:00'),
 Timestamp('2023-11-02 00:00:00'),
 Timestamp('2023-11-03 00:00:00'),
 Timestamp('2023-11-06 00:00:00'),
 Timestamp('2023-11-07 00:00:00'),
 Timestamp('2023-11-08 00:00:00'),
 Timestamp('2023-11-09 00:00:00'),
 Timestamp('2023-11-10 00:00:00'),
 Timestamp('2023-11-13 00:00:00'),
 Timestamp('2023-11-14 00:00:00'),
 Timestamp('2023-11-15 00:00:00'),
 Timestamp('2023-11-16 00:00:00'),
 Timestamp('2023-11-17 00:00:00'),
 Timestamp('2023-11-20 00:00:00'),
 Timestamp('2023-11-21 00:00:00'),
 Timestamp('2023-11-22 00:00:00'),
 Timestamp('2023-11-23 00:00:00'),
 Timestamp('2023-11-24 00:00:00'),
 Timestamp('2023-11-27 00:00:00'),
 Timestamp('2023-11-28 00:00:00'),
 Timestamp('2023-11-29 00:00:00'),
 Timestamp('2023-11-30 00:00:00'),
 Timestamp('2023-12-01 00:00:00'),
 Timestamp('2023-12-04 00:00:00'),
 Timestamp('2023-12-05 00:00:00'),
 Timestamp('2023-12-06 00:00:00'),
 Timestamp('2023-12-07 00:00:00'),
 Timestamp('2023-12-08 00:00:00'),
 Timestamp('2023-12-11 00:00:00'),
 Timestamp('2023-12-12 00:00:00'),
 Timestamp('2023-12-13 00:00:00'),
 Timestamp('2023-12-14 00:00:00'),
 Timestamp('2023-12-15 00:00:00'),
 Timestamp('2023-12-18 00:00:00'),
 Timestamp('2023-12-19 00:00:00'),
 Timestamp('2023-12-20 00:00:00'),
 Timestamp('2023-12-21 00:00:00'),
 Timestamp('2023-12-22 00:00:00'),
 Timestamp('2023-12-25 00:00:00'),
 Timestamp('2023-12-26 00:00:00'),
 Timestamp('2023-12-27 00:00:00'),
 Timestamp('2023-12-28 00:00:00'),
 Timestamp('2023-12-29 00:00:00'),
 Timestamp('2024-01-02 00:00:00'),
 Timestamp('2024-01-03 00:00:00'),
 Timestamp('2024-01-04 00:00:00'),
 Timestamp('2024-01-05 00:00:00'),
 Timestamp('2024-01-08 00:00:00'),
 Timestamp('2024-01-09 00:00:00'),
 Timestamp('2024-01-10 00:00:00'),
 Timestamp('2024-01-11 00:00:00'),
 Timestamp('2024-01-12 00:00:00'),
 Timestamp('2024-01-15 00:00:00'),
 Timestamp('2024-01-16 00:00:00'),
 Timestamp('2024-01-17 00:00:00'),
 Timestamp('2024-01-18 00:00:00'),
 Timestamp('2024-01-19 00:00:00'),
 Timestamp('2024-01-22 00:00:00'),
 Timestamp('2024-01-23 00:00:00'),
 Timestamp('2024-01-24 00:00:00'),
 Timestamp('2024-01-25 00:00:00'),
 Timestamp('2024-01-26 00:00:00'),
 Timestamp('2024-01-29 00:00:00'),
 Timestamp('2024-01-30 00:00:00'),
 Timestamp('2024-01-31 00:00:00'),
 Timestamp('2024-02-01 00:00:00'),
 Timestamp('2024-02-02 00:00:00'),
 Timestamp('2024-02-05 00:00:00'),
 Timestamp('2024-02-06 00:00:00'),
 Timestamp('2024-02-07 00:00:00'),
 Timestamp('2024-02-15 00:00:00'),
 Timestamp('2024-02-16 00:00:00'),
 Timestamp('2024-02-19 00:00:00'),
 Timestamp('2024-02-20 00:00:00'),
 Timestamp('2024-02-21 00:00:00'),
 Timestamp('2024-02-22 00:00:00'),
 Timestamp('2024-02-23 00:00:00'),
 Timestamp('2024-02-26 00:00:00'),
 Timestamp('2024-02-27 00:00:00'),
 ...]
In [16]:
for key, value in data.items():
    missing_dates = sorted(set(all_dates) - set(value.index.to_list()))
    missing_dates = pd.to_datetime(missing_dates)  # Chuyển sang kiểu datetime
    day_names = missing_dates.day_name(locale='English')
    
    print(f"Missing dates for {key}:")
    for date, day in zip(missing_dates, day_names):
        print(f"{date.date()} ({day})")

Missing dates for CMG_news_features.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-01-12 (Thursday)
2023-01-13 (Friday)
2023-01-16 (Monday)
2023-01-17 (Tuesday)
2023-01-18 (Wednesday)
2023-01-19 (Thursday)
2023-01-27 (Friday)
2023-01-30 (Monday)
2023-01-31 (Tuesday)
2023-02-01 (Wednesday)
2023-02-02 (Thursday)
2023-02-03 (Friday)
2023-02-06 (Monday)
2023-02-07 (Tuesday)
2023-02-08 (Wednesday)
2023-02-09 (Thursday)
2023-02-10 (Friday)
2023-02-13 (Monday)
2023-02-14 (Tuesday)
2023-02-15 (Wednesday)
2023-02-16 (Thursday)
2023-02-17 (Friday)
2023-02-20 (Monday)
2023-02-21 (Tuesday)
2023-02-22 (Wednesday)
2023-02-23 (Thursday)
2023-02-24 (Friday)
2023-02-27 (Monday)
2023-02-28 (Tuesday)
2023-03-01 (Wednesday)
2023-03-02 (Thursday)
2023-03-03 (Friday)
2023-03-06 (Monday)
2023-03-07 (Tuesday)
2023-03-08 (Wednesday)
2023-03-09 (Thursday)
2023-03-10 (Friday)
2023-03-13 (Monday)
2025-02-26 (Wednesday)
2025-02-27 (Thursday)
2025-02-28 (Friday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-03 (Monday)
2025-03-04 (Tuesday)
2025-03-05 (Wednesday)
2025-03-06 (Thursday)
2025-03-07 (Friday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-10 (Monday)
2025-03-11 (Tuesday)
2025-03-12 (Wednesday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for Dữ liệu Lịch sử CMG.csv:
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-13 (Saturday)
2023-05-14 (Sunday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-15 (Saturday)
2023-07-16 (Sunday)
2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-08-05 (Saturday)
2023-08-06 (Sunday)
2023-08-12 (Saturday)
2023-08-13 (Sunday)
2023-08-19 (Saturday)
2023-08-20 (Sunday)
2023-08-26 (Saturday)
2023-08-27 (Sunday)
2023-09-01 (Friday)
2023-09-02 (Saturday)
2023-09-03 (Sunday)
2023-09-04 (Monday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-20 (Saturday)
2024-01-21 (Sunday)
2024-01-27 (Saturday)
2024-01-28 (Sunday)
2024-02-03 (Saturday)
2024-02-04 (Sunday)
2024-02-08 (Thursday)
2024-02-09 (Friday)
2024-02-10 (Saturday)
2024-02-11 (Sunday)
2024-02-12 (Monday)
2024-02-13 (Tuesday)
2024-02-14 (Wednesday)
2024-02-17 (Saturday)
2024-02-18 (Sunday)
2024-02-24 (Saturday)
2024-02-25 (Sunday)
2024-03-02 (Saturday)
2024-03-03 (Sunday)
2024-03-09 (Saturday)
2024-03-10 (Sunday)
2024-03-16 (Saturday)
2024-03-17 (Sunday)
2024-03-23 (Saturday)
2024-03-24 (Sunday)
2024-03-30 (Saturday)
2024-03-31 (Sunday)
2024-04-06 (Saturday)
2024-04-07 (Sunday)
2024-04-13 (Saturday)
2024-04-14 (Sunday)
2024-04-18 (Thursday)
2024-04-20 (Saturday)
2024-04-21 (Sunday)
2024-04-27 (Saturday)
2024-04-28 (Sunday)
2024-04-29 (Monday)
2024-04-30 (Tuesday)
2024-05-01 (Wednesday)
2024-05-04 (Saturday)
2024-05-05 (Sunday)
2024-05-11 (Saturday)
2024-05-12 (Sunday)
2024-05-18 (Saturday)
2024-05-19 (Sunday)
2024-05-25 (Saturday)
2024-05-26 (Sunday)
2024-06-01 (Saturday)
2024-06-02 (Sunday)
2024-06-08 (Saturday)
2024-06-09 (Sunday)
2024-06-15 (Saturday)
2024-06-16 (Sunday)
2024-06-22 (Saturday)
2024-06-23 (Sunday)
2024-06-29 (Saturday)
2024-06-30 (Sunday)
2024-07-06 (Saturday)
2024-07-07 (Sunday)
2024-07-13 (Saturday)
2024-07-14 (Sunday)
2024-07-20 (Saturday)
2024-07-21 (Sunday)
2024-07-27 (Saturday)
2024-07-28 (Sunday)
2024-08-03 (Saturday)
2024-08-04 (Sunday)
2024-08-10 (Saturday)
2024-08-11 (Sunday)
2024-08-17 (Saturday)
2024-08-18 (Sunday)
2024-08-24 (Saturday)
2024-08-25 (Sunday)
2024-08-31 (Saturday)
2024-09-01 (Sunday)
2024-09-02 (Monday)
2024-09-03 (Tuesday)
2024-09-07 (Saturday)
2024-09-08 (Sunday)
2024-09-14 (Saturday)
2024-09-15 (Sunday)
2024-09-21 (Saturday)
2024-09-22 (Sunday)
2024-09-28 (Saturday)
2024-09-29 (Sunday)
2024-10-05 (Saturday)
2024-10-06 (Sunday)
2024-10-12 (Saturday)
2024-10-13 (Sunday)
2024-10-19 (Saturday)
2024-10-20 (Sunday)
2024-10-26 (Saturday)
2024-10-27 (Sunday)
2024-11-02 (Saturday)
2024-11-03 (Sunday)
2024-11-09 (Saturday)
2024-11-10 (Sunday)
2024-11-16 (Saturday)
2024-11-17 (Sunday)
2024-11-23 (Saturday)
2024-11-24 (Sunday)
2024-11-30 (Saturday)
2024-12-01 (Sunday)
2024-12-07 (Saturday)
2024-12-08 (Sunday)
2024-12-14 (Saturday)
2024-12-15 (Sunday)
2024-12-21 (Saturday)
2024-12-22 (Sunday)
2024-12-28 (Saturday)
2024-12-29 (Sunday)
2025-01-01 (Wednesday)
2025-01-04 (Saturday)
2025-01-05 (Sunday)
2025-01-11 (Saturday)
2025-01-12 (Sunday)
2025-01-18 (Saturday)
2025-01-19 (Sunday)
2025-01-25 (Saturday)
2025-01-26 (Sunday)
2025-01-27 (Monday)
2025-01-28 (Tuesday)
2025-01-29 (Wednesday)
2025-01-30 (Thursday)
2025-01-31 (Friday)
2025-02-01 (Saturday)
2025-02-02 (Sunday)
2025-02-08 (Saturday)
2025-02-09 (Sunday)
2025-02-15 (Saturday)
2025-02-16 (Sunday)
2025-02-22 (Saturday)
2025-02-23 (Sunday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for Dữ liệu Lịch sử FPT.csv:
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-13 (Saturday)
2023-05-14 (Sunday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-15 (Saturday)
2023-07-16 (Sunday)
2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-08-05 (Saturday)
2023-08-06 (Sunday)
2023-08-12 (Saturday)
2023-08-13 (Sunday)
2023-08-19 (Saturday)
2023-08-20 (Sunday)
2023-08-26 (Saturday)
2023-08-27 (Sunday)
2023-09-01 (Friday)
2023-09-02 (Saturday)
2023-09-03 (Sunday)
2023-09-04 (Monday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-20 (Saturday)
2024-01-21 (Sunday)
2024-01-27 (Saturday)
2024-01-28 (Sunday)
2024-02-03 (Saturday)
2024-02-04 (Sunday)
2024-02-08 (Thursday)
2024-02-09 (Friday)
2024-02-10 (Saturday)
2024-02-11 (Sunday)
2024-02-12 (Monday)
2024-02-13 (Tuesday)
2024-02-14 (Wednesday)
2024-02-17 (Saturday)
2024-02-18 (Sunday)
2024-02-24 (Saturday)
2024-02-25 (Sunday)
2024-03-02 (Saturday)
2024-03-03 (Sunday)
2024-03-09 (Saturday)
2024-03-10 (Sunday)
2024-03-16 (Saturday)
2024-03-17 (Sunday)
2024-03-23 (Saturday)
2024-03-24 (Sunday)
2024-03-30 (Saturday)
2024-03-31 (Sunday)
2024-04-06 (Saturday)
2024-04-07 (Sunday)
2024-04-13 (Saturday)
2024-04-14 (Sunday)
2024-04-18 (Thursday)
2024-04-20 (Saturday)
2024-04-21 (Sunday)
2024-04-27 (Saturday)
2024-04-28 (Sunday)
2024-04-29 (Monday)
2024-04-30 (Tuesday)
2024-05-01 (Wednesday)
2024-05-04 (Saturday)
2024-05-05 (Sunday)
2024-05-11 (Saturday)
2024-05-12 (Sunday)
2024-05-18 (Saturday)
2024-05-19 (Sunday)
2024-05-25 (Saturday)
2024-05-26 (Sunday)
2024-06-01 (Saturday)
2024-06-02 (Sunday)
2024-06-08 (Saturday)
2024-06-09 (Sunday)
2024-06-15 (Saturday)
2024-06-16 (Sunday)
2024-06-22 (Saturday)
2024-06-23 (Sunday)
2024-06-29 (Saturday)
2024-06-30 (Sunday)
2024-07-06 (Saturday)
2024-07-07 (Sunday)
2024-07-13 (Saturday)
2024-07-14 (Sunday)
2024-07-20 (Saturday)
2024-07-21 (Sunday)
2024-07-27 (Saturday)
2024-07-28 (Sunday)
2024-08-03 (Saturday)
2024-08-04 (Sunday)
2024-08-10 (Saturday)
2024-08-11 (Sunday)
2024-08-17 (Saturday)
2024-08-18 (Sunday)
2024-08-24 (Saturday)
2024-08-25 (Sunday)
2024-08-31 (Saturday)
2024-09-01 (Sunday)
2024-09-02 (Monday)
2024-09-03 (Tuesday)
2024-09-07 (Saturday)
2024-09-08 (Sunday)
2024-09-14 (Saturday)
2024-09-15 (Sunday)
2024-09-21 (Saturday)
2024-09-22 (Sunday)
2024-09-28 (Saturday)
2024-09-29 (Sunday)
2024-10-05 (Saturday)
2024-10-06 (Sunday)
2024-10-12 (Saturday)
2024-10-13 (Sunday)
2024-10-19 (Saturday)
2024-10-20 (Sunday)
2024-10-26 (Saturday)
2024-10-27 (Sunday)
2024-11-02 (Saturday)
2024-11-03 (Sunday)
2024-11-09 (Saturday)
2024-11-10 (Sunday)
2024-11-16 (Saturday)
2024-11-17 (Sunday)
2024-11-23 (Saturday)
2024-11-24 (Sunday)
2024-11-30 (Saturday)
2024-12-01 (Sunday)
2024-12-07 (Saturday)
2024-12-08 (Sunday)
2024-12-14 (Saturday)
2024-12-15 (Sunday)
2024-12-21 (Saturday)
2024-12-22 (Sunday)
2024-12-28 (Saturday)
2024-12-29 (Sunday)
2025-01-01 (Wednesday)
2025-01-04 (Saturday)
2025-01-05 (Sunday)
2025-01-11 (Saturday)
2025-01-12 (Sunday)
2025-01-18 (Saturday)
2025-01-19 (Sunday)
2025-01-25 (Saturday)
2025-01-26 (Sunday)
2025-01-27 (Monday)
2025-01-28 (Tuesday)
2025-01-29 (Wednesday)
2025-01-30 (Thursday)
2025-01-31 (Friday)
2025-02-01 (Saturday)
2025-02-02 (Sunday)
2025-02-08 (Saturday)
2025-02-09 (Sunday)
2025-02-15 (Saturday)
2025-02-16 (Sunday)
2025-02-22 (Saturday)
2025-02-23 (Sunday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for FPT_news_features.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-01-12 (Thursday)
2023-01-13 (Friday)
2023-01-16 (Monday)
2023-01-17 (Tuesday)
2023-01-18 (Wednesday)
2023-01-19 (Thursday)
2023-01-27 (Friday)
2023-01-30 (Monday)
2023-01-31 (Tuesday)
2023-02-01 (Wednesday)
2023-02-02 (Thursday)
2023-02-03 (Friday)
2023-02-06 (Monday)
2023-02-07 (Tuesday)
2023-02-08 (Wednesday)
2023-02-09 (Thursday)
2023-02-10 (Friday)
2023-02-13 (Monday)
2023-02-14 (Tuesday)
2023-02-15 (Wednesday)
2023-02-16 (Thursday)
2023-02-17 (Friday)
2023-02-20 (Monday)
2023-02-21 (Tuesday)
2023-02-22 (Wednesday)
2023-02-23 (Thursday)
2023-02-24 (Friday)
2023-02-27 (Monday)
2023-02-28 (Tuesday)
2023-03-01 (Wednesday)
2023-03-02 (Thursday)
2023-03-03 (Friday)
2023-03-06 (Monday)
2023-03-07 (Tuesday)
2023-03-08 (Wednesday)
2023-03-09 (Thursday)
2023-03-10 (Friday)
2023-03-13 (Monday)
2023-03-14 (Tuesday)
2023-03-15 (Wednesday)
2023-03-16 (Thursday)
2023-03-17 (Friday)
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-20 (Monday)
2023-03-21 (Tuesday)
2023-03-22 (Wednesday)
2023-03-23 (Thursday)
2023-03-24 (Friday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-03-27 (Monday)
2023-03-28 (Tuesday)
2023-03-29 (Wednesday)
2023-03-30 (Thursday)
2023-03-31 (Friday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-03 (Monday)
2023-04-04 (Tuesday)
2023-04-05 (Wednesday)
2023-04-06 (Thursday)
2023-04-07 (Friday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-10 (Monday)
2023-04-11 (Tuesday)
2023-04-12 (Wednesday)
2023-04-13 (Thursday)
2023-04-14 (Friday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-17 (Monday)
2023-04-18 (Tuesday)
2023-04-19 (Wednesday)
2023-04-20 (Thursday)
2023-04-21 (Friday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-24 (Monday)
2023-04-25 (Tuesday)
2023-04-26 (Wednesday)
2023-04-27 (Thursday)
2023-04-28 (Friday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
Missing dates for prediction_CMG_bctc.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-13 (Saturday)
2023-05-14 (Sunday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-15 (Saturday)
2023-07-16 (Sunday)
2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-08-05 (Saturday)
2023-08-06 (Sunday)
2023-08-12 (Saturday)
2023-08-13 (Sunday)
2023-08-19 (Saturday)
2023-08-20 (Sunday)
2023-08-26 (Saturday)
2023-08-27 (Sunday)
2023-09-01 (Friday)
2023-09-02 (Saturday)
2023-09-03 (Sunday)
2023-09-04 (Monday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-20 (Saturday)
2024-01-21 (Sunday)
2024-01-27 (Saturday)
2024-01-28 (Sunday)
2024-02-03 (Saturday)
2024-02-04 (Sunday)
2024-02-08 (Thursday)
2024-02-09 (Friday)
2024-02-10 (Saturday)
2024-02-11 (Sunday)
2024-02-12 (Monday)
2024-02-13 (Tuesday)
2024-02-14 (Wednesday)
2024-02-17 (Saturday)
2024-02-18 (Sunday)
2024-02-24 (Saturday)
2024-02-25 (Sunday)
2024-03-02 (Saturday)
2024-03-03 (Sunday)
2024-03-09 (Saturday)
2024-03-10 (Sunday)
2024-03-16 (Saturday)
2024-03-17 (Sunday)
2024-03-23 (Saturday)
2024-03-24 (Sunday)
2024-03-30 (Saturday)
2024-03-31 (Sunday)
2024-04-06 (Saturday)
2024-04-07 (Sunday)
2024-04-13 (Saturday)
2024-04-14 (Sunday)
2024-04-18 (Thursday)
2024-04-20 (Saturday)
2024-04-21 (Sunday)
2024-04-27 (Saturday)
2024-04-28 (Sunday)
2024-04-29 (Monday)
2024-04-30 (Tuesday)
2024-05-01 (Wednesday)
2024-05-04 (Saturday)
2024-05-05 (Sunday)
2024-05-11 (Saturday)
2024-05-12 (Sunday)
2024-05-18 (Saturday)
2024-05-19 (Sunday)
2024-05-25 (Saturday)
2024-05-26 (Sunday)
2024-06-01 (Saturday)
2024-06-02 (Sunday)
2024-06-08 (Saturday)
2024-06-09 (Sunday)
2024-06-15 (Saturday)
2024-06-16 (Sunday)
2024-06-22 (Saturday)
2024-06-23 (Sunday)
2024-06-29 (Saturday)
2024-06-30 (Sunday)
2024-07-06 (Saturday)
2024-07-07 (Sunday)
2024-07-13 (Saturday)
2024-07-14 (Sunday)
2024-07-20 (Saturday)
2024-07-21 (Sunday)
2024-07-27 (Saturday)
2024-07-28 (Sunday)
2024-08-03 (Saturday)
2024-08-04 (Sunday)
2024-08-10 (Saturday)
2024-08-11 (Sunday)
2024-08-17 (Saturday)
2024-08-18 (Sunday)
2024-08-24 (Saturday)
2024-08-25 (Sunday)
2024-08-31 (Saturday)
2024-09-01 (Sunday)
2024-09-02 (Monday)
2024-09-03 (Tuesday)
2024-09-07 (Saturday)
2024-09-08 (Sunday)
2024-09-14 (Saturday)
2024-09-15 (Sunday)
2024-09-21 (Saturday)
2024-09-22 (Sunday)
2024-09-28 (Saturday)
2024-09-29 (Sunday)
2024-10-05 (Saturday)
2024-10-06 (Sunday)
2024-10-12 (Saturday)
2024-10-13 (Sunday)
2024-10-19 (Saturday)
2024-10-20 (Sunday)
2024-10-26 (Saturday)
2024-10-27 (Sunday)
2024-11-02 (Saturday)
2024-11-03 (Sunday)
2024-11-09 (Saturday)
2024-11-10 (Sunday)
2024-11-16 (Saturday)
2024-11-17 (Sunday)
2024-11-23 (Saturday)
2024-11-24 (Sunday)
2024-11-30 (Saturday)
2024-12-01 (Sunday)
2024-12-07 (Saturday)
2024-12-08 (Sunday)
2024-12-14 (Saturday)
2024-12-15 (Sunday)
2024-12-21 (Saturday)
2024-12-22 (Sunday)
2024-12-28 (Saturday)
2024-12-29 (Sunday)
2025-01-01 (Wednesday)
2025-01-02 (Thursday)
2025-01-03 (Friday)
2025-01-04 (Saturday)
2025-01-05 (Sunday)
2025-01-06 (Monday)
2025-01-07 (Tuesday)
2025-01-08 (Wednesday)
2025-01-09 (Thursday)
2025-01-10 (Friday)
2025-01-11 (Saturday)
2025-01-12 (Sunday)
2025-01-13 (Monday)
2025-01-14 (Tuesday)
2025-01-15 (Wednesday)
2025-01-16 (Thursday)
2025-01-17 (Friday)
2025-01-18 (Saturday)
2025-01-19 (Sunday)
2025-01-20 (Monday)
2025-01-21 (Tuesday)
2025-01-22 (Wednesday)
2025-01-23 (Thursday)
2025-01-24 (Friday)
2025-01-25 (Saturday)
2025-01-26 (Sunday)
2025-01-27 (Monday)
2025-01-28 (Tuesday)
2025-01-29 (Wednesday)
2025-01-30 (Thursday)
2025-01-31 (Friday)
2025-02-01 (Saturday)
2025-02-02 (Sunday)
2025-02-03 (Monday)
2025-02-04 (Tuesday)
2025-02-05 (Wednesday)
2025-02-06 (Thursday)
2025-02-07 (Friday)
2025-02-08 (Saturday)
2025-02-09 (Sunday)
2025-02-10 (Monday)
2025-02-11 (Tuesday)
2025-02-12 (Wednesday)
2025-02-13 (Thursday)
2025-02-14 (Friday)
2025-02-15 (Saturday)
2025-02-16 (Sunday)
2025-02-17 (Monday)
2025-02-18 (Tuesday)
2025-02-19 (Wednesday)
2025-02-20 (Thursday)
2025-02-21 (Friday)
2025-02-22 (Saturday)
2025-02-23 (Sunday)
2025-02-24 (Monday)
2025-02-25 (Tuesday)
2025-02-26 (Wednesday)
2025-02-27 (Thursday)
2025-02-28 (Friday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-03 (Monday)
2025-03-04 (Tuesday)
2025-03-05 (Wednesday)
2025-03-06 (Thursday)
2025-03-07 (Friday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-10 (Monday)
2025-03-11 (Tuesday)
2025-03-12 (Wednesday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for prediction_CMG_market.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-01-12 (Thursday)
2023-01-13 (Friday)
2023-01-16 (Monday)
2023-01-17 (Tuesday)
2023-01-18 (Wednesday)
2023-01-19 (Thursday)
2023-01-27 (Friday)
2023-01-30 (Monday)
2023-01-31 (Tuesday)
2023-02-01 (Wednesday)
2023-02-02 (Thursday)
2023-02-03 (Friday)
2023-02-06 (Monday)
2023-02-07 (Tuesday)
2023-02-08 (Wednesday)
2023-02-09 (Thursday)
2023-02-10 (Friday)
2023-02-13 (Monday)
2023-02-14 (Tuesday)
2023-02-15 (Wednesday)
2023-02-16 (Thursday)
2023-02-17 (Friday)
2023-02-20 (Monday)
2023-02-21 (Tuesday)
2023-02-22 (Wednesday)
2023-02-23 (Thursday)
2023-02-24 (Friday)
2023-02-27 (Monday)
2023-02-28 (Tuesday)
2023-03-01 (Wednesday)
2023-03-02 (Thursday)
2023-03-03 (Friday)
2023-03-06 (Monday)
2023-03-07 (Tuesday)
2023-03-08 (Wednesday)
2023-03-09 (Thursday)
2023-03-10 (Friday)
2023-03-13 (Monday)
2023-03-14 (Tuesday)
2023-03-15 (Wednesday)
2023-03-16 (Thursday)
2023-03-17 (Friday)
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-20 (Monday)
2023-03-21 (Tuesday)
2023-03-22 (Wednesday)
2023-03-23 (Thursday)
2023-03-24 (Friday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-03-27 (Monday)
2023-03-28 (Tuesday)
2023-03-29 (Wednesday)
2023-03-30 (Thursday)
2023-03-31 (Friday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-03 (Monday)
2023-04-04 (Tuesday)
2023-04-05 (Wednesday)
2023-04-06 (Thursday)
2023-04-07 (Friday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-10 (Monday)
2023-04-11 (Tuesday)
2023-04-12 (Wednesday)
2023-04-13 (Thursday)
2023-04-14 (Friday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-17 (Monday)
2023-04-18 (Tuesday)
2023-04-19 (Wednesday)
2023-04-20 (Thursday)
2023-04-21 (Friday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-24 (Monday)
2023-04-25 (Tuesday)
2023-04-26 (Wednesday)
2023-04-27 (Thursday)
2023-04-28 (Friday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-04 (Thursday)
2023-05-05 (Friday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-08 (Monday)
2023-05-09 (Tuesday)
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2023-05-11 (Thursday)
2023-05-12 (Friday)
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2023-05-14 (Sunday)
2023-05-15 (Monday)
2023-05-16 (Tuesday)
2023-05-17 (Wednesday)
2023-05-18 (Thursday)
2023-05-19 (Friday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-22 (Monday)
2023-05-23 (Tuesday)
2023-05-24 (Wednesday)
2023-05-25 (Thursday)
2023-05-26 (Friday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-05-29 (Monday)
2023-05-30 (Tuesday)
2023-05-31 (Wednesday)
2023-06-01 (Thursday)
2023-06-02 (Friday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-05 (Monday)
2023-06-06 (Tuesday)
2023-06-07 (Wednesday)
2023-06-08 (Thursday)
2023-06-09 (Friday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-12 (Monday)
2023-06-13 (Tuesday)
2023-06-14 (Wednesday)
2023-06-15 (Thursday)
2023-06-16 (Friday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-19 (Monday)
2023-06-20 (Tuesday)
2023-06-21 (Wednesday)
2023-06-22 (Thursday)
2023-06-23 (Friday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-06-26 (Monday)
2023-06-27 (Tuesday)
2023-06-28 (Wednesday)
2023-06-29 (Thursday)
2023-06-30 (Friday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-03 (Monday)
2023-07-04 (Tuesday)
2023-07-05 (Wednesday)
2023-07-06 (Thursday)
2023-07-07 (Friday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-10 (Monday)
2023-07-11 (Tuesday)
2023-07-12 (Wednesday)
2023-07-13 (Thursday)
2023-07-14 (Friday)
2023-07-15 (Saturday)
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2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-24 (Monday)
2023-07-25 (Tuesday)
2023-07-26 (Wednesday)
2023-07-27 (Thursday)
2023-07-28 (Friday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-07-31 (Monday)
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2023-08-24 (Thursday)
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2023-09-08 (Friday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-11 (Monday)
2023-09-12 (Tuesday)
2023-09-13 (Wednesday)
2023-09-14 (Thursday)
2023-09-15 (Friday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-18 (Monday)
2023-09-19 (Tuesday)
2023-09-20 (Wednesday)
2023-09-21 (Thursday)
2023-09-22 (Friday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-25 (Monday)
2023-09-26 (Tuesday)
2023-09-27 (Wednesday)
2023-09-28 (Thursday)
2023-09-29 (Friday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-02 (Monday)
2023-10-03 (Tuesday)
2023-10-04 (Wednesday)
2023-10-05 (Thursday)
2023-10-06 (Friday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-09 (Monday)
2023-10-10 (Tuesday)
2023-10-11 (Wednesday)
2023-10-12 (Thursday)
2023-10-13 (Friday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-16 (Monday)
2023-10-17 (Tuesday)
2023-10-18 (Wednesday)
2023-10-19 (Thursday)
2023-10-20 (Friday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-23 (Monday)
2023-10-24 (Tuesday)
2023-10-25 (Wednesday)
2023-10-26 (Thursday)
2023-10-27 (Friday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-10-30 (Monday)
2023-10-31 (Tuesday)
2023-11-01 (Wednesday)
2023-11-02 (Thursday)
2023-11-03 (Friday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-06 (Monday)
2023-11-07 (Tuesday)
2023-11-08 (Wednesday)
2023-11-09 (Thursday)
2023-11-10 (Friday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-13 (Monday)
2023-11-14 (Tuesday)
2023-11-15 (Wednesday)
2023-11-16 (Thursday)
2023-11-17 (Friday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-20 (Monday)
2023-11-21 (Tuesday)
2023-11-22 (Wednesday)
2023-11-23 (Thursday)
2023-11-24 (Friday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-11-27 (Monday)
2023-11-28 (Tuesday)
2023-11-29 (Wednesday)
2023-11-30 (Thursday)
2023-12-01 (Friday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-04 (Monday)
2023-12-05 (Tuesday)
2023-12-06 (Wednesday)
2023-12-07 (Thursday)
2023-12-08 (Friday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-11 (Monday)
2023-12-12 (Tuesday)
2023-12-13 (Wednesday)
2023-12-14 (Thursday)
2023-12-15 (Friday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-18 (Monday)
2023-12-19 (Tuesday)
2023-12-20 (Wednesday)
2023-12-21 (Thursday)
2023-12-22 (Friday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-25 (Monday)
2023-12-26 (Tuesday)
2023-12-27 (Wednesday)
2023-12-28 (Thursday)
2023-12-29 (Friday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-02 (Tuesday)
2024-01-03 (Wednesday)
2024-01-04 (Thursday)
2024-01-05 (Friday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-08 (Monday)
2024-01-09 (Tuesday)
2024-01-10 (Wednesday)
2024-01-11 (Thursday)
2024-01-12 (Friday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-15 (Monday)
2024-01-16 (Tuesday)
2024-01-17 (Wednesday)
2024-01-18 (Thursday)
2024-01-19 (Friday)
2024-01-20 (Saturday)
2024-01-21 (Sunday)
2024-01-22 (Monday)
2024-01-23 (Tuesday)
2024-01-24 (Wednesday)
2024-01-25 (Thursday)
2024-01-26 (Friday)
2024-01-27 (Saturday)
2024-01-28 (Sunday)
2024-01-29 (Monday)
2024-01-30 (Tuesday)
2024-01-31 (Wednesday)
2024-02-01 (Thursday)
2024-02-02 (Friday)
2024-02-03 (Saturday)
2024-02-04 (Sunday)
2024-02-05 (Monday)
2024-02-06 (Tuesday)
2024-02-07 (Wednesday)
2024-02-08 (Thursday)
2024-02-09 (Friday)
2024-02-10 (Saturday)
2024-02-11 (Sunday)
2024-02-12 (Monday)
2024-02-13 (Tuesday)
2024-02-14 (Wednesday)
2024-02-15 (Thursday)
2024-02-16 (Friday)
2024-02-17 (Saturday)
2024-02-18 (Sunday)
2024-02-19 (Monday)
2024-02-20 (Tuesday)
2024-02-21 (Wednesday)
2024-02-22 (Thursday)
2024-02-23 (Friday)
2024-02-24 (Saturday)
2024-02-25 (Sunday)
2024-02-26 (Monday)
2024-02-27 (Tuesday)
2024-02-28 (Wednesday)
2024-02-29 (Thursday)
2024-03-01 (Friday)
2024-03-02 (Saturday)
2024-03-03 (Sunday)
2024-03-04 (Monday)
2024-03-05 (Tuesday)
2024-03-06 (Wednesday)
2024-03-07 (Thursday)
2024-03-08 (Friday)
2024-03-09 (Saturday)
2024-03-10 (Sunday)
2024-03-11 (Monday)
2024-03-12 (Tuesday)
2024-03-13 (Wednesday)
2024-03-14 (Thursday)
2024-03-15 (Friday)
2024-03-16 (Saturday)
2024-03-17 (Sunday)
2024-03-18 (Monday)
2024-03-19 (Tuesday)
2024-03-20 (Wednesday)
2024-03-21 (Thursday)
2024-03-23 (Saturday)
2024-03-24 (Sunday)
2024-03-30 (Saturday)
2024-03-31 (Sunday)
2024-04-06 (Saturday)
2024-04-07 (Sunday)
2024-04-13 (Saturday)
2024-04-14 (Sunday)
2024-04-18 (Thursday)
2024-04-20 (Saturday)
2024-04-21 (Sunday)
2024-04-27 (Saturday)
2024-04-28 (Sunday)
2024-04-29 (Monday)
2024-04-30 (Tuesday)
2024-05-01 (Wednesday)
2024-05-04 (Saturday)
2024-05-05 (Sunday)
2024-05-11 (Saturday)
2024-05-12 (Sunday)
2024-05-18 (Saturday)
2024-05-19 (Sunday)
2024-05-25 (Saturday)
2024-05-26 (Sunday)
2024-06-01 (Saturday)
2024-06-02 (Sunday)
2024-06-08 (Saturday)
2024-06-09 (Sunday)
2024-06-15 (Saturday)
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2024-06-22 (Saturday)
2024-06-23 (Sunday)
2024-06-29 (Saturday)
2024-06-30 (Sunday)
2024-07-06 (Saturday)
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2024-07-13 (Saturday)
2024-07-14 (Sunday)
2024-07-20 (Saturday)
2024-07-21 (Sunday)
2024-07-27 (Saturday)
2024-07-28 (Sunday)
2024-08-03 (Saturday)
2024-08-04 (Sunday)
2024-08-10 (Saturday)
2024-08-11 (Sunday)
2024-08-17 (Saturday)
2024-08-18 (Sunday)
2024-08-24 (Saturday)
2024-08-25 (Sunday)
2024-08-31 (Saturday)
2024-09-01 (Sunday)
2024-09-02 (Monday)
2024-09-03 (Tuesday)
2024-09-07 (Saturday)
2024-09-08 (Sunday)
2024-09-14 (Saturday)
2024-09-15 (Sunday)
2024-09-21 (Saturday)
2024-09-22 (Sunday)
2024-09-28 (Saturday)
2024-09-29 (Sunday)
2024-10-05 (Saturday)
2024-10-06 (Sunday)
2024-10-12 (Saturday)
2024-10-13 (Sunday)
2024-10-19 (Saturday)
2024-10-20 (Sunday)
2024-10-26 (Saturday)
2024-10-27 (Sunday)
2024-11-02 (Saturday)
2024-11-03 (Sunday)
2024-11-09 (Saturday)
2024-11-10 (Sunday)
2024-11-16 (Saturday)
2024-11-17 (Sunday)
2024-11-23 (Saturday)
2024-11-24 (Sunday)
2024-11-30 (Saturday)
2024-12-01 (Sunday)
2024-12-07 (Saturday)
2024-12-08 (Sunday)
2024-12-14 (Saturday)
2024-12-15 (Sunday)
2024-12-21 (Saturday)
2024-12-22 (Sunday)
2024-12-28 (Saturday)
2024-12-29 (Sunday)
2025-01-01 (Wednesday)
2025-01-04 (Saturday)
2025-01-05 (Sunday)
2025-01-11 (Saturday)
2025-01-12 (Sunday)
2025-01-18 (Saturday)
2025-01-19 (Sunday)
2025-01-25 (Saturday)
2025-01-26 (Sunday)
2025-01-27 (Monday)
2025-01-28 (Tuesday)
2025-01-29 (Wednesday)
2025-01-30 (Thursday)
2025-01-31 (Friday)
2025-02-01 (Saturday)
2025-02-02 (Sunday)
2025-02-08 (Saturday)
2025-02-09 (Sunday)
2025-02-15 (Saturday)
2025-02-16 (Sunday)
2025-02-22 (Saturday)
2025-02-23 (Sunday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for prediction_FPT_bctc.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-13 (Saturday)
2023-05-14 (Sunday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-15 (Saturday)
2023-07-16 (Sunday)
2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-08-05 (Saturday)
2023-08-06 (Sunday)
2023-08-12 (Saturday)
2023-08-13 (Sunday)
2023-08-19 (Saturday)
2023-08-20 (Sunday)
2023-08-26 (Saturday)
2023-08-27 (Sunday)
2023-09-01 (Friday)
2023-09-02 (Saturday)
2023-09-03 (Sunday)
2023-09-04 (Monday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-20 (Saturday)
2024-01-21 (Sunday)
2024-01-27 (Saturday)
2024-01-28 (Sunday)
2024-02-03 (Saturday)
2024-02-04 (Sunday)
2024-02-08 (Thursday)
2024-02-09 (Friday)
2024-02-10 (Saturday)
2024-02-11 (Sunday)
2024-02-12 (Monday)
2024-02-13 (Tuesday)
2024-02-14 (Wednesday)
2024-02-17 (Saturday)
2024-02-18 (Sunday)
2024-02-24 (Saturday)
2024-02-25 (Sunday)
2024-03-02 (Saturday)
2024-03-03 (Sunday)
2024-03-09 (Saturday)
2024-03-10 (Sunday)
2024-03-16 (Saturday)
2024-03-17 (Sunday)
2024-03-23 (Saturday)
2024-03-24 (Sunday)
2024-03-30 (Saturday)
2024-03-31 (Sunday)
2024-04-06 (Saturday)
2024-04-07 (Sunday)
2024-04-13 (Saturday)
2024-04-14 (Sunday)
2024-04-18 (Thursday)
2024-04-20 (Saturday)
2024-04-21 (Sunday)
2024-04-27 (Saturday)
2024-04-28 (Sunday)
2024-04-29 (Monday)
2024-04-30 (Tuesday)
2024-05-01 (Wednesday)
2024-05-04 (Saturday)
2024-05-05 (Sunday)
2024-05-11 (Saturday)
2024-05-12 (Sunday)
2024-05-18 (Saturday)
2024-05-19 (Sunday)
2024-05-25 (Saturday)
2024-05-26 (Sunday)
2024-06-01 (Saturday)
2024-06-02 (Sunday)
2024-06-08 (Saturday)
2024-06-09 (Sunday)
2024-06-15 (Saturday)
2024-06-16 (Sunday)
2024-06-22 (Saturday)
2024-06-23 (Sunday)
2024-06-29 (Saturday)
2024-06-30 (Sunday)
2024-07-06 (Saturday)
2024-07-07 (Sunday)
2024-07-13 (Saturday)
2024-07-14 (Sunday)
2024-07-20 (Saturday)
2024-07-21 (Sunday)
2024-07-27 (Saturday)
2024-07-28 (Sunday)
2024-08-03 (Saturday)
2024-08-04 (Sunday)
2024-08-10 (Saturday)
2024-08-11 (Sunday)
2024-08-17 (Saturday)
2024-08-18 (Sunday)
2024-08-24 (Saturday)
2024-08-25 (Sunday)
2024-08-31 (Saturday)
2024-09-01 (Sunday)
2024-09-02 (Monday)
2024-09-03 (Tuesday)
2024-09-07 (Saturday)
2024-09-08 (Sunday)
2024-09-14 (Saturday)
2024-09-15 (Sunday)
2024-09-21 (Saturday)
2024-09-22 (Sunday)
2024-09-28 (Saturday)
2024-09-29 (Sunday)
2024-10-05 (Saturday)
2024-10-06 (Sunday)
2024-10-12 (Saturday)
2024-10-13 (Sunday)
2024-10-19 (Saturday)
2024-10-20 (Sunday)
2024-10-26 (Saturday)
2024-10-27 (Sunday)
2024-11-02 (Saturday)
2024-11-03 (Sunday)
2024-11-09 (Saturday)
2024-11-10 (Sunday)
2024-11-16 (Saturday)
2024-11-17 (Sunday)
2024-11-23 (Saturday)
2024-11-24 (Sunday)
2024-11-30 (Saturday)
2024-12-01 (Sunday)
2024-12-07 (Saturday)
2024-12-08 (Sunday)
2024-12-14 (Saturday)
2024-12-15 (Sunday)
2024-12-21 (Saturday)
2024-12-22 (Sunday)
2024-12-28 (Saturday)
2024-12-29 (Sunday)
2025-01-01 (Wednesday)
2025-01-02 (Thursday)
2025-01-03 (Friday)
2025-01-04 (Saturday)
2025-01-05 (Sunday)
2025-01-06 (Monday)
2025-01-07 (Tuesday)
2025-01-08 (Wednesday)
2025-01-09 (Thursday)
2025-01-10 (Friday)
2025-01-11 (Saturday)
2025-01-12 (Sunday)
2025-01-13 (Monday)
2025-01-14 (Tuesday)
2025-01-15 (Wednesday)
2025-01-16 (Thursday)
2025-01-17 (Friday)
2025-01-18 (Saturday)
2025-01-19 (Sunday)
2025-01-20 (Monday)
2025-01-21 (Tuesday)
2025-01-22 (Wednesday)
2025-01-23 (Thursday)
2025-01-24 (Friday)
2025-01-25 (Saturday)
2025-01-26 (Sunday)
2025-01-27 (Monday)
2025-01-28 (Tuesday)
2025-01-29 (Wednesday)
2025-01-30 (Thursday)
2025-01-31 (Friday)
2025-02-01 (Saturday)
2025-02-02 (Sunday)
2025-02-03 (Monday)
2025-02-04 (Tuesday)
2025-02-05 (Wednesday)
2025-02-06 (Thursday)
2025-02-07 (Friday)
2025-02-08 (Saturday)
2025-02-09 (Sunday)
2025-02-10 (Monday)
2025-02-11 (Tuesday)
2025-02-12 (Wednesday)
2025-02-13 (Thursday)
2025-02-14 (Friday)
2025-02-15 (Saturday)
2025-02-16 (Sunday)
2025-02-17 (Monday)
2025-02-18 (Tuesday)
2025-02-19 (Wednesday)
2025-02-20 (Thursday)
2025-02-21 (Friday)
2025-02-22 (Saturday)
2025-02-23 (Sunday)
2025-02-24 (Monday)
2025-02-25 (Tuesday)
2025-02-26 (Wednesday)
2025-02-27 (Thursday)
2025-02-28 (Friday)
2025-03-01 (Saturday)
2025-03-02 (Sunday)
2025-03-03 (Monday)
2025-03-04 (Tuesday)
2025-03-05 (Wednesday)
2025-03-06 (Thursday)
2025-03-07 (Friday)
2025-03-08 (Saturday)
2025-03-09 (Sunday)
2025-03-10 (Monday)
2025-03-11 (Tuesday)
2025-03-12 (Wednesday)
2025-03-13 (Thursday)
2025-03-14 (Friday)
2025-03-15 (Saturday)
2025-03-16 (Sunday)
2025-03-17 (Monday)
2025-03-18 (Tuesday)
2025-03-19 (Wednesday)
2025-03-20 (Thursday)
2025-03-21 (Friday)
2025-03-22 (Saturday)
2025-03-23 (Sunday)
2025-03-24 (Monday)
2025-03-25 (Tuesday)
2025-03-26 (Wednesday)
2025-03-27 (Thursday)
2025-03-28 (Friday)
2025-03-29 (Saturday)
2025-03-30 (Sunday)
2025-03-31 (Monday)
2025-04-01 (Tuesday)
2025-04-02 (Wednesday)
2025-04-03 (Thursday)
2025-04-04 (Friday)
2025-04-05 (Saturday)
2025-04-06 (Sunday)
2025-04-07 (Monday)
2025-04-08 (Tuesday)
2025-04-09 (Wednesday)
2025-04-10 (Thursday)
2025-04-11 (Friday)
2025-04-12 (Saturday)
2025-04-13 (Sunday)
2025-04-14 (Monday)
2025-04-15 (Tuesday)
Missing dates for prediction_FPT_market.csv:
2023-01-03 (Tuesday)
2023-01-04 (Wednesday)
2023-01-05 (Thursday)
2023-01-06 (Friday)
2023-01-09 (Monday)
2023-01-10 (Tuesday)
2023-01-11 (Wednesday)
2023-01-12 (Thursday)
2023-01-13 (Friday)
2023-01-16 (Monday)
2023-01-17 (Tuesday)
2023-01-18 (Wednesday)
2023-01-19 (Thursday)
2023-01-27 (Friday)
2023-01-30 (Monday)
2023-01-31 (Tuesday)
2023-02-01 (Wednesday)
2023-02-02 (Thursday)
2023-02-03 (Friday)
2023-02-06 (Monday)
2023-02-07 (Tuesday)
2023-02-08 (Wednesday)
2023-02-09 (Thursday)
2023-02-10 (Friday)
2023-02-13 (Monday)
2023-02-14 (Tuesday)
2023-02-15 (Wednesday)
2023-02-16 (Thursday)
2023-02-17 (Friday)
2023-02-20 (Monday)
2023-02-21 (Tuesday)
2023-02-22 (Wednesday)
2023-02-23 (Thursday)
2023-02-24 (Friday)
2023-02-27 (Monday)
2023-02-28 (Tuesday)
2023-03-01 (Wednesday)
2023-03-02 (Thursday)
2023-03-03 (Friday)
2023-03-06 (Monday)
2023-03-07 (Tuesday)
2023-03-08 (Wednesday)
2023-03-09 (Thursday)
2023-03-10 (Friday)
2023-03-13 (Monday)
2023-03-14 (Tuesday)
2023-03-15 (Wednesday)
2023-03-16 (Thursday)
2023-03-17 (Friday)
2023-03-18 (Saturday)
2023-03-19 (Sunday)
2023-03-20 (Monday)
2023-03-21 (Tuesday)
2023-03-22 (Wednesday)
2023-03-23 (Thursday)
2023-03-24 (Friday)
2023-03-25 (Saturday)
2023-03-26 (Sunday)
2023-03-27 (Monday)
2023-03-28 (Tuesday)
2023-03-29 (Wednesday)
2023-03-30 (Thursday)
2023-03-31 (Friday)
2023-04-01 (Saturday)
2023-04-02 (Sunday)
2023-04-03 (Monday)
2023-04-04 (Tuesday)
2023-04-05 (Wednesday)
2023-04-06 (Thursday)
2023-04-07 (Friday)
2023-04-08 (Saturday)
2023-04-09 (Sunday)
2023-04-10 (Monday)
2023-04-11 (Tuesday)
2023-04-12 (Wednesday)
2023-04-13 (Thursday)
2023-04-14 (Friday)
2023-04-15 (Saturday)
2023-04-16 (Sunday)
2023-04-17 (Monday)
2023-04-18 (Tuesday)
2023-04-19 (Wednesday)
2023-04-20 (Thursday)
2023-04-21 (Friday)
2023-04-22 (Saturday)
2023-04-23 (Sunday)
2023-04-24 (Monday)
2023-04-25 (Tuesday)
2023-04-26 (Wednesday)
2023-04-27 (Thursday)
2023-04-28 (Friday)
2023-04-29 (Saturday)
2023-04-30 (Sunday)
2023-05-01 (Monday)
2023-05-02 (Tuesday)
2023-05-03 (Wednesday)
2023-05-04 (Thursday)
2023-05-05 (Friday)
2023-05-06 (Saturday)
2023-05-07 (Sunday)
2023-05-08 (Monday)
2023-05-09 (Tuesday)
2023-05-10 (Wednesday)
2023-05-11 (Thursday)
2023-05-12 (Friday)
2023-05-13 (Saturday)
2023-05-14 (Sunday)
2023-05-15 (Monday)
2023-05-16 (Tuesday)
2023-05-17 (Wednesday)
2023-05-18 (Thursday)
2023-05-19 (Friday)
2023-05-20 (Saturday)
2023-05-21 (Sunday)
2023-05-22 (Monday)
2023-05-23 (Tuesday)
2023-05-24 (Wednesday)
2023-05-25 (Thursday)
2023-05-26 (Friday)
2023-05-27 (Saturday)
2023-05-28 (Sunday)
2023-05-29 (Monday)
2023-05-30 (Tuesday)
2023-05-31 (Wednesday)
2023-06-01 (Thursday)
2023-06-02 (Friday)
2023-06-03 (Saturday)
2023-06-04 (Sunday)
2023-06-05 (Monday)
2023-06-06 (Tuesday)
2023-06-07 (Wednesday)
2023-06-08 (Thursday)
2023-06-09 (Friday)
2023-06-10 (Saturday)
2023-06-11 (Sunday)
2023-06-12 (Monday)
2023-06-13 (Tuesday)
2023-06-14 (Wednesday)
2023-06-15 (Thursday)
2023-06-16 (Friday)
2023-06-17 (Saturday)
2023-06-18 (Sunday)
2023-06-19 (Monday)
2023-06-20 (Tuesday)
2023-06-21 (Wednesday)
2023-06-22 (Thursday)
2023-06-23 (Friday)
2023-06-24 (Saturday)
2023-06-25 (Sunday)
2023-06-26 (Monday)
2023-06-27 (Tuesday)
2023-06-28 (Wednesday)
2023-06-29 (Thursday)
2023-06-30 (Friday)
2023-07-01 (Saturday)
2023-07-02 (Sunday)
2023-07-03 (Monday)
2023-07-04 (Tuesday)
2023-07-05 (Wednesday)
2023-07-06 (Thursday)
2023-07-07 (Friday)
2023-07-08 (Saturday)
2023-07-09 (Sunday)
2023-07-10 (Monday)
2023-07-11 (Tuesday)
2023-07-12 (Wednesday)
2023-07-13 (Thursday)
2023-07-14 (Friday)
2023-07-15 (Saturday)
2023-07-16 (Sunday)
2023-07-17 (Monday)
2023-07-18 (Tuesday)
2023-07-19 (Wednesday)
2023-07-20 (Thursday)
2023-07-21 (Friday)
2023-07-22 (Saturday)
2023-07-23 (Sunday)
2023-07-24 (Monday)
2023-07-25 (Tuesday)
2023-07-26 (Wednesday)
2023-07-27 (Thursday)
2023-07-28 (Friday)
2023-07-29 (Saturday)
2023-07-30 (Sunday)
2023-07-31 (Monday)
2023-08-01 (Tuesday)
2023-08-02 (Wednesday)
2023-08-03 (Thursday)
2023-08-04 (Friday)
2023-08-05 (Saturday)
2023-08-06 (Sunday)
2023-08-07 (Monday)
2023-08-08 (Tuesday)
2023-08-09 (Wednesday)
2023-08-10 (Thursday)
2023-08-11 (Friday)
2023-08-12 (Saturday)
2023-08-13 (Sunday)
2023-08-14 (Monday)
2023-08-15 (Tuesday)
2023-08-16 (Wednesday)
2023-08-17 (Thursday)
2023-08-18 (Friday)
2023-08-19 (Saturday)
2023-08-20 (Sunday)
2023-08-21 (Monday)
2023-08-22 (Tuesday)
2023-08-23 (Wednesday)
2023-08-24 (Thursday)
2023-08-25 (Friday)
2023-08-26 (Saturday)
2023-08-27 (Sunday)
2023-08-28 (Monday)
2023-08-29 (Tuesday)
2023-08-30 (Wednesday)
2023-08-31 (Thursday)
2023-09-01 (Friday)
2023-09-02 (Saturday)
2023-09-03 (Sunday)
2023-09-04 (Monday)
2023-09-05 (Tuesday)
2023-09-06 (Wednesday)
2023-09-07 (Thursday)
2023-09-08 (Friday)
2023-09-09 (Saturday)
2023-09-10 (Sunday)
2023-09-11 (Monday)
2023-09-12 (Tuesday)
2023-09-13 (Wednesday)
2023-09-14 (Thursday)
2023-09-15 (Friday)
2023-09-16 (Saturday)
2023-09-17 (Sunday)
2023-09-18 (Monday)
2023-09-19 (Tuesday)
2023-09-20 (Wednesday)
2023-09-21 (Thursday)
2023-09-22 (Friday)
2023-09-23 (Saturday)
2023-09-24 (Sunday)
2023-09-25 (Monday)
2023-09-26 (Tuesday)
2023-09-27 (Wednesday)
2023-09-28 (Thursday)
2023-09-29 (Friday)
2023-09-30 (Saturday)
2023-10-01 (Sunday)
2023-10-02 (Monday)
2023-10-03 (Tuesday)
2023-10-04 (Wednesday)
2023-10-05 (Thursday)
2023-10-06 (Friday)
2023-10-07 (Saturday)
2023-10-08 (Sunday)
2023-10-09 (Monday)
2023-10-10 (Tuesday)
2023-10-11 (Wednesday)
2023-10-12 (Thursday)
2023-10-13 (Friday)
2023-10-14 (Saturday)
2023-10-15 (Sunday)
2023-10-16 (Monday)
2023-10-17 (Tuesday)
2023-10-18 (Wednesday)
2023-10-19 (Thursday)
2023-10-20 (Friday)
2023-10-21 (Saturday)
2023-10-22 (Sunday)
2023-10-23 (Monday)
2023-10-24 (Tuesday)
2023-10-25 (Wednesday)
2023-10-26 (Thursday)
2023-10-27 (Friday)
2023-10-28 (Saturday)
2023-10-29 (Sunday)
2023-10-30 (Monday)
2023-10-31 (Tuesday)
2023-11-01 (Wednesday)
2023-11-02 (Thursday)
2023-11-03 (Friday)
2023-11-04 (Saturday)
2023-11-05 (Sunday)
2023-11-06 (Monday)
2023-11-07 (Tuesday)
2023-11-08 (Wednesday)
2023-11-09 (Thursday)
2023-11-10 (Friday)
2023-11-11 (Saturday)
2023-11-12 (Sunday)
2023-11-13 (Monday)
2023-11-14 (Tuesday)
2023-11-15 (Wednesday)
2023-11-16 (Thursday)
2023-11-17 (Friday)
2023-11-18 (Saturday)
2023-11-19 (Sunday)
2023-11-20 (Monday)
2023-11-21 (Tuesday)
2023-11-22 (Wednesday)
2023-11-23 (Thursday)
2023-11-24 (Friday)
2023-11-25 (Saturday)
2023-11-26 (Sunday)
2023-11-27 (Monday)
2023-11-28 (Tuesday)
2023-11-29 (Wednesday)
2023-11-30 (Thursday)
2023-12-01 (Friday)
2023-12-02 (Saturday)
2023-12-03 (Sunday)
2023-12-04 (Monday)
2023-12-05 (Tuesday)
2023-12-06 (Wednesday)
2023-12-07 (Thursday)
2023-12-08 (Friday)
2023-12-09 (Saturday)
2023-12-10 (Sunday)
2023-12-11 (Monday)
2023-12-12 (Tuesday)
2023-12-13 (Wednesday)
2023-12-14 (Thursday)
2023-12-15 (Friday)
2023-12-16 (Saturday)
2023-12-17 (Sunday)
2023-12-18 (Monday)
2023-12-19 (Tuesday)
2023-12-20 (Wednesday)
2023-12-21 (Thursday)
2023-12-22 (Friday)
2023-12-23 (Saturday)
2023-12-24 (Sunday)
2023-12-25 (Monday)
2023-12-26 (Tuesday)
2023-12-27 (Wednesday)
2023-12-28 (Thursday)
2023-12-29 (Friday)
2023-12-30 (Saturday)
2023-12-31 (Sunday)
2024-01-01 (Monday)
2024-01-02 (Tuesday)
2024-01-03 (Wednesday)
2024-01-04 (Thursday)
2024-01-05 (Friday)
2024-01-06 (Saturday)
2024-01-07 (Sunday)
2024-01-08 (Monday)
2024-01-09 (Tuesday)
2024-01-10 (Wednesday)
2024-01-11 (Thursday)
2024-01-12 (Friday)
2024-01-13 (Saturday)
2024-01-14 (Sunday)
2024-01-15 (Monday)
2024-01-16 (Tuesday)
2024-01-17 (Wednesday)
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In [17]:
from keras.models import load_model
import pandas as pd
def open_model(path):
    if path.endswith('.pkl'):
        return joblib.load(path)
    return load_model(path)
def open_json(path):
    with open(path, "r") as f:
        metrics = json.load(f)
    return metrics
previous_model_result = {}
previous_model_result['BCTC'] = {
    'CMG': {
        'model': open_model('model result\\BCTC\\CMG\\model\\BCTC_CMG_model.pkl'),
        'X_scaler': joblib.load('model result\\BCTC\\CMG\\X_scaler\\BCTC_CMG_X_scaler.pkl'),
        'y_scaler': joblib.load('model result\\BCTC\\CMG\\y_scaler\\BCTC_CMG_y_scaler.pkl'),
        'metrics': open_json('model result\\BCTC\\CMG\\metrics\\BCTC_CMG_metrics.json'),
        'feature importance': pd.read_csv('model result\\BCTC\\CMG\\feature importance\\BCTC_CMG_feature importance.csv')
    },
    'FPT': {
        'model': open_model('model result\\BCTC\\FPT\\model\\BCTC_FPT_model.pkl'),
        'X_scaler': joblib.load('model result\\BCTC\\FPT\\X_scaler\\BCTC_FPT_X_scaler.pkl'),
        'y_scaler': joblib.load('model result\\BCTC\\FPT\\y_scaler\\BCTC_FPT_y_scaler.pkl'),
        'metrics': open_json('model result\\BCTC\\FPT\\metrics\\BCTC_FPT_metrics.json'),
        'feature importance': pd.read_csv('model result\\BCTC\\FPT\\feature importance\\BCTC_FPT_feature importance.csv')        
    }
}
previous_model_result['Market'] = {
    'CMG': {
        'model': open_model('model result\\Market\\CMG\\model\\Market_CMG_model.pkl'),
        'X_scaler': joblib.load('model result\\Market\\CMG\\X_scaler\\Market_CMG_X_scaler.pkl'),
        'y_scaler': joblib.load('model result\\Market\\CMG\\y_scaler\\Market_CMG_y_scaler.pkl'),
        'metrics': open_json('model result\\Market\\CMG\\metrics\\Market_CMG_metrics.json'),
        'feature importance': pd.read_csv('model result\\Market\\CMG\\feature importance\\Market_CMG_feature importance.csv')
    },
    'FPT': {
        'model': open_model('model result\\Market\\FPT\\model\\Market_FPT_model.pkl'),
        'X_scaler': joblib.load('model result\\Market\\FPT\\X_scaler\\Market_FPT_X_scaler.pkl'),
        'y_scaler': joblib.load('model result\\Market\\FPT\\y_scaler\\Market_FPT_y_scaler.pkl'),
        'metrics': open_json('model result\\Market\\FPT\\metrics\\Market_FPT_metrics.json'),
        'feature importance': pd.read_csv('model result\\Market\\FPT\\feature importance\\Market_FPT_feature importance.csv')        
    }
}
for k1, v1 in previous_model_result.items():
    print(k1)
    for k2, v2 in v1.items():
        print(k2)
        for k3, v3 in v2.items():
            print(k3)
            print(v3)

BCTC
CMG
model
LGBMRegressor(n_estimators=64, num_leaves=81, random_state=42)
X_scaler
MaxAbsScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 7409853.125874948, 'mae': 1829.7021065468603, 'rmse': 2722.1045398505453, 'r2_score': 0.7200314612157052}
feature importance
                                              feature  importance
0                               price_Close_ma_3_days         182
1     CMG_financial_data_processed_P/E cơ bản (daily)         137
2   CMG_financial_data_processed_P/E cơ bản (daily...          61
3                                             Prob_up          54
4            CMG_financial_data_processed_ROS (daily)          45
5   financialreport_metrics_Nhóm ngành_Công nghệ t...          30
6   financialreport_metrics_Nhóm ngành_Công nghệ t...          24
7   financialreport_metrics_Nhóm ngành_Công nghệ t...          20
8                               price_Close_ma_7_days          19
9   financialreport_metrics_Nhóm ngành_Công nghệ t...          18
10  CMG_financial_data_processed_P/E cơ bản (daily...          17
11  financialreport_metrics_Nhóm ngành_Công nghệ t...          16
12  financialreport_metrics_Nhóm ngành_Công nghệ t...          15
13    CMG_financial_data_processed_ROAA (daily)_lag_1          15
14  financialreport_metrics_Nhóm ngành_Công nghệ t...          15
15  financialreport_metrics_Nhóm ngành_Công nghệ t...          14
16  financialreport_metrics_Nhóm ngành_Công nghệ t...          13
17  financialreport_metrics_Nhóm ngành_Công nghệ t...          13
18  financialreport_metrics_Nhóm ngành_Công nghệ t...          12
19  financialreport_metrics_Nhóm ngành_Công nghệ t...          12
20  financialreport_metrics_Nhóm ngành_Công nghệ t...          10
21  financialreport_metrics_Nhóm ngành_Công nghệ t...          10
22  financialreport_metrics_Nhóm ngành_Công nghệ t...           8
23  financialreport_metrics_Nhóm ngành_Công nghệ t...           8
24  financialreport_metrics_Nhóm ngành_Công nghệ t...           8
25  financialreport_metrics_Nhóm ngành_Công nghệ t...           6
26  financialreport_metrics_Nhóm ngành_Công nghệ t...           5
27  CMG_financial_data_processed_P/E cơ bản (daily...           5
28  financialreport_metrics_Nhóm ngành_Công nghệ t...           5
29  financialreport_metrics_Nhóm ngành_Công nghệ t...           5
30          CMG_financial_data_processed_ROEA (daily)           4
31          CMG_financial_data_processed_ROAA (daily)           4
32  financialreport_metrics_Nhóm ngành_Công nghệ t...           3
33  financialreport_metrics_Nhóm ngành_Công nghệ t...           3
FPT
model
XGBRegressor(base_score=None, booster=None, callbacks=None,
             colsample_bylevel=None, colsample_bynode=None,
             colsample_bytree=None, device=None, early_stopping_rounds=None,
             enable_categorical=False, eval_metric=None, feature_types=None,
             feature_weights=None, gamma=None, grow_policy=None,
             importance_type=None, interaction_constraints=None,
             learning_rate=None, max_bin=None, max_cat_threshold=None,
             max_cat_to_onehot=None, max_delta_step=None, max_depth=9,
             max_leaves=None, min_child_weight=None, missing=nan,
             monotone_constraints=None, multi_strategy=None, n_estimators=64,
             n_jobs=None, num_parallel_tree=None, ...)
X_scaler
MaxAbsScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 299436460.4454152, 'mae': 15747.795238597973, 'rmse': 17304.232443116776, 'r2_score': -4.271906605476657}
feature importance
                                             feature  importance
0                              price_Close_ma_3_days        0.99
1  financialreport_metrics_Nhóm ngành_Công nghệ t...        0.01
2  financialreport_metrics_Nhóm ngành_Công nghệ t...        0.00
3                                            Prob_up        0.00
Market
CMG
model
LGBMRegressor(n_estimators=67, num_leaves=23, random_state=42)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 935178.8163044926, 'mae': 683.321837781807, 'rmse': 967.0464395800714, 'r2_score': 0.8690111688255968}
feature importance
                                               feature  importance
0    CMG_foreign_detail_transactions_processed_pric...          60
1                                             Change %          28
2    CMG_foreign_detail_transactions_processed_pric...          22
3    CMG_foreign_detail_transactions_processed_pric...          10
4                            VN_Index_Volume_ma_7_days          10
5    CMG_foreign_detail_transactions_processed_pric...           8
6    CMG_foreign_detail_transactions_processed_Matc...           6
7    CMG_foreign_detail_transactions_processed_Fore...           6
8    CMG_foreign_detail_transactions_processed_Matc...           6
9                                VN_Index_Volume_lag_4           6
10   CMG_foreign_detail_transactions_processed_Tota...           6
11   CMG_foreign_detail_transactions_processed_pric...           5
12   CMG_foreign_detail_transactions_processed_Matc...           5
13   CMG_foreign_detail_transactions_processed_Tota...           5
14   CMG_foreign_detail_transactions_processed_Rema...           5
15   CMG_foreign_detail_transactions_processed_fore...           5
16   CMG_foreign_detail_transactions_processed_Rema...           4
17   CMG_foreign_detail_transactions_processed_Matc...           4
18   CMG_foreign_detail_transactions_processed_tota...           4
19                                              Volume           4
20   CMG_foreign_detail_transactions_processed_N_st...           4
21   CMG_foreign_detail_transactions_processed_Matc...           4
22   CMG_foreign_detail_transactions_processed_Fore...           4
23                                     VN_Index_Volume           4
24   CMG_foreign_detail_transactions_processed_pric...           4
25   CMG_foreign_detail_transactions_processed_Matc...           3
26   CMG_foreign_detail_transactions_processed_Matc...           3
27   CMG_foreign_detail_transactions_processed_fore...           3
28   CMG_foreign_detail_transactions_processed_Tota...           3
29   CMG_foreign_detail_transactions_processed_Rema...           3
30                        VN_Index_Close_vnindex_lag_6           3
31   CMG_foreign_detail_transactions_processed_pric...           3
32   CMG_foreign_detail_transactions_processed_Fore...           3
33             VN_Index_Intraday percentage volatility           3
34   CMG_foreign_detail_transactions_processed_Rema...           3
35   CMG_foreign_detail_transactions_processed_pric...           3
36   CMG_foreign_detail_transactions_processed_Matc...           3
37   CMG_foreign_detail_transactions_processed_pric...           3
38   CMG_foreign_detail_transactions_processed_pric...           3
39   CMG_foreign_detail_transactions_processed_Matc...           3
40   CMG_foreign_detail_transactions_processed_Matc...           3
41   CMG_foreign_detail_transactions_processed_Rema...           3
42                                             Prob_up           3
43   CMG_foreign_detail_transactions_processed_Matc...           2
44   CMG_foreign_detail_transactions_processed_fore...           2
45   CMG_foreign_detail_transactions_processed_Rema...           2
46   CMG_foreign_detail_transactions_processed_Fore...           2
47                              VN_Index_Close_vnindex           2
48              VN_Index_Actual price change_ma_7_days           2
49   CMG_foreign_detail_transactions_processed_Net ...           2
50                         VN_Index_Change %_ma_3_days           2
51   CMG_foreign_detail_transactions_processed_Rema...           2
52   CMG_foreign_detail_transactions_processed_Matc...           2
53   CMG_foreign_detail_transactions_processed_Fore...           2
54   CMG_foreign_detail_transactions_processed_Tota...           2
55   CMG_foreign_detail_transactions_processed_Net ...           2
56   CMG_foreign_detail_transactions_processed_Tota...           2
57   CMG_foreign_detail_transactions_processed_Matc...           2
58   CMG_foreign_detail_transactions_processed_Matc...           2
59   CMG_foreign_detail_transactions_processed_Matc...           2
60   CMG_foreign_detail_transactions_processed_Matc...           2
61   CMG_foreign_detail_transactions_processed_cons...           2
62   CMG_foreign_detail_transactions_processed_pric...           2
63   CMG_foreign_detail_transactions_processed_Rema...           2
64   CMG_foreign_detail_transactions_processed_Matc...           2
65   CMG_foreign_detail_transactions_processed_Matc...           2
66   CMG_foreign_detail_transactions_processed_Fore...           2
67                                 VN_Index_High_lag_4           2
68                  VN_Index_Actual price change_lag_3           2
69   CMG_foreign_detail_transactions_processed_N_st...           2
70   CMG_foreign_detail_transactions_processed_Rema...           2
71                                 VN_Index_High_lag_7           1
72                                 VN_Index_High_lag_5           1
73                    VN_Index_Close_vnindex_ma_7_days           1
74   CMG_foreign_detail_transactions_processed_Fore...           1
75   CMG_foreign_detail_transactions_processed_Net ...           1
76                VN_Index_Average Price (daily)_lag_6           1
77   CMG_foreign_detail_transactions_processed_pric...           1
78   CMG_foreign_detail_transactions_processed_tota...           1
79   CMG_foreign_detail_transactions_processed_Rema...           1
80       VN_Index_Intraday percentage volatility_lag_2           1
81           VN_Index_Intraday price (range)_ma_7_days           1
82                      VN_Index_Average Price (daily)           1
83                                  VN_Index_Low_lag_1           1
84                                   VN_Index_Change %           1
85               VN_Index_Intraday price (range)_lag_1           1
86                        VN_Index_Close_vnindex_lag_3           1
87   CMG_foreign_detail_transactions_processed_Net ...           1
88   CMG_foreign_detail_transactions_processed_tota...           1
89                             VN_Index_Change %_lag_5           1
90   CMG_foreign_detail_transactions_processed_Matc...           1
91   CMG_foreign_detail_transactions_processed_Matc...           1
92   CMG_foreign_detail_transactions_processed_tota...           1
93           VN_Index_Intraday price (range)_ma_3_days           1
94                        VN_Index_Close_vnindex_lag_7           1
95   CMG_foreign_detail_transactions_processed_Rema...           1
96   CMG_foreign_detail_transactions_processed_Matc...           1
97   CMG_foreign_detail_transactions_processed_Tota...           1
98   CMG_foreign_detail_transactions_processed_Matc...           1
99   CMG_foreign_detail_transactions_processed_pric...           1
100  CMG_foreign_detail_transactions_processed_Tota...           1
101  CMG_foreign_detail_transactions_processed_pric...           1
102  CMG_foreign_detail_transactions_processed_Tota...           1
103  CMG_foreign_detail_transactions_processed_Net ...           1
104  CMG_foreign_detail_transactions_processed_Matc...           1
105  CMG_foreign_detail_transactions_processed_Tota...           1
106  CMG_foreign_detail_transactions_processed_N_st...           1
107  CMG_foreign_detail_transactions_processed_Matc...           1
108  CMG_foreign_detail_transactions_processed_Matc...           1
109  CMG_foreign_detail_transactions_processed_cons...           1
110  CMG_foreign_detail_transactions_processed_pric...           1
111  CMG_foreign_detail_transactions_processed_pric...           1
112  CMG_foreign_detail_transactions_processed_Matc...           1
113  CMG_foreign_detail_transactions_processed_Net ...           1
114  CMG_foreign_detail_transactions_processed_Rema...           1
115  CMG_foreign_detail_transactions_processed_Matc...           1
116                              VN_Index_Volume_lag_7           1
117  CMG_foreign_detail_transactions_processed_Net ...           1
118              VN_Index_Intraday price (range)_lag_6           1
119  CMG_foreign_detail_transactions_processed_Matc...           1
120             VN_Index_Actual price change_ma_3_days           1
121  CMG_foreign_detail_transactions_processed_Tota...           1
122  CMG_foreign_detail_transactions_processed_Tota...           1
123  CMG_foreign_detail_transactions_processed_Matc...           1
124  CMG_foreign_detail_transactions_processed_fore...           1
FPT
model
XGBRegressor(base_score=None, booster=None, callbacks=None,
             colsample_bylevel=None, colsample_bynode=None,
             colsample_bytree=None, device=None, early_stopping_rounds=None,
             enable_categorical=False, eval_metric=None, feature_types=None,
             feature_weights=None, gamma=None, grow_policy=None,
             importance_type=None, interaction_constraints=None,
             learning_rate=None, max_bin=None, max_cat_threshold=None,
             max_cat_to_onehot=None, max_delta_step=None, max_depth=3,
             max_leaves=None, min_child_weight=None, missing=nan,
             monotone_constraints=None, multi_strategy=None, n_estimators=107,
             n_jobs=None, num_parallel_tree=None, ...)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 115311214.02124357, 'mae': 9676.616866438357, 'rmse': 10738.305919522109, 'r2_score': -3.851978851528693}
feature importance
                                              feature  importance
0   FPT_foreign_detail_transactions_processed_pric...        0.62
1   FPT_foreign_detail_transactions_processed_pric...        0.35
2   FPT_foreign_detail_transactions_processed_pric...        0.03
3   FPT_foreign_detail_transactions_processed_pric...        0.00
4                                        VN_Index_Low        0.00
5   FPT_foreign_detail_transactions_processed_Net ...        0.00
6   FPT_foreign_detail_transactions_processed_pric...        0.00
7   FPT_foreign_detail_transactions_processed_Matc...        0.00
8   FPT_foreign_detail_transactions_processed_pric...        0.00
9                                             Prob_up        0.00
10  FPT_foreign_detail_transactions_processed_pric...        0.00
11  FPT_foreign_detail_transactions_processed_pric...        0.00
12  FPT_foreign_detail_transactions_processed_Rema...        0.00
In [18]:
print("Xét cổ phiếu CMG:")
print(previous_model_result['BCTC']['CMG']['metrics'])
print(previous_model_result['Market']['CMG']['metrics'])

Xét cổ phiếu CMG:
{'mse': 7409853.125874948, 'mae': 1829.7021065468603, 'rmse': 2722.1045398505453, 'r2_score': 0.7200314612157052}
{'mse': 935178.8163044926, 'mae': 683.321837781807, 'rmse': 967.0464395800714, 'r2_score': 0.8690111688255968}
In [19]:
print("Xét cổ phiếu FPT:")
print(previous_model_result['BCTC']['FPT']['metrics']['mae'])
print(previous_model_result['Market']['FPT']['metrics'])

Xét cổ phiếu FPT:
15747.795238597973
{'mse': 115311214.02124357, 'mae': 9676.616866438357, 'rmse': 10738.305919522109, 'r2_score': -3.851978851528693}
In [20]:
for key, value in data.items():
    print(key)

CMG_news_features.csv
Dữ liệu Lịch sử CMG.csv
Dữ liệu Lịch sử FPT.csv
FPT_news_features.csv
prediction_CMG_bctc.csv
prediction_CMG_market.csv
prediction_FPT_bctc.csv
prediction_FPT_market.csv

Có thể thấy, mô hình dự đoán từ dữ liệu thị trường sẽ cho kết quả chính xác hơn so với dữ liệu từ báo cáo tài chính. Vậy nên khi dùng giá trị dự đoán từ trước, sẽ ưu tiên sử dụng dữ liệu từ thị trường.

In [21]:
def merging_df(data_dict, ticker):
    df_dict = data_dict.copy()
    for key, value in df_dict.items():
        df = value.copy()
        if key == f'Dữ liệu Lịch sử {ticker}.csv':
            df = df.drop(columns=['Open', 'High', 'Low'])
            price_history = df
        elif key == f'{ticker}_news_features.csv':
            news = df
        elif key == f'prediction_{ticker}_market.csv':
            market = df
            market = market.rename(columns = {f'prediction_{ticker}_market':'predict_value'})
        elif key == f'prediction_{ticker}_bctc.csv':
            bctc = df
            bctc = bctc.rename(columns = {f'prediction_{ticker}_bctc':'predict_value'})
        else:
            pass
    result = pd.merge(price_history, news, left_index=True, right_index=True, how='left')
    result = pd.merge(result, market, left_index=True, right_index=True, how='left')
    result['predict_value'] = result['predict_value'].combine_first(bctc['predict_value'])
    return result
In [22]:
merge_cmg = merging_df(data,'CMG')
merge_fpt = merging_df(data,'FPT')
In [23]:
basic_stats(merge_cmg,"CMG")

CMG
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2023-01-03 29,463.00 104,920.00 0.04 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-04 29,179.00 57,010.00 -0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-05 29,250.00 87,970.00 0.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-06 29,073.00 55,890.00 -0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-09 28,398.00 109,960.00 -0.02 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2025-03-06 44,600.00 1,050,000.00 0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 43,374.96
2025-03-07 44,350.00 596,200.00 -0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 43,337.43
2025-03-10 43,950.00 910,000.00 -0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 43,264.80
2025-03-11 43,100.00 1,600,000.00 -0.02 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 43,041.64
2025-03-12 42,250.00 1,810,000.00 -0.02 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 42,000.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 14 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Close                  544 non-null    float64
 1   Volume                 544 non-null    float64
 2   Change %               544 non-null    float64
 3   news_count             488 non-null    float64
 4   news_total_pos_kw      488 non-null    float64
 5   news_total_neg_kw      488 non-null    float64
 6   news_llm_sentiment     488 non-null    float64
 7   div_event_count        488 non-null    float64
 8   div_total_vnd          488 non-null    float64
 9   div_total_bonus_ratio  488 non-null    float64
 10  it_event_count         488 non-null    float64
 11  it_total_executed_vol  488 non-null    float64
 12  meeting_event_count    488 non-null    float64
 13  predict_value          537 non-null    float64
dtypes: float64(14)
memory usage: 63.8 KB
None
Số giá trị bị rỗng:
Close                     0
Volume                    0
Change %                  0
news_count               56
news_total_pos_kw        56
news_total_neg_kw        56
news_llm_sentiment       56
div_event_count          56
div_total_vnd            56
div_total_bonus_ratio    56
it_event_count           56
it_total_executed_vol    56
meeting_event_count      56
predict_value             7
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
count 544.00 544.00 544.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 537.00
mean 39,857.71 749,428.35 0.00 1.00 0.00 0.00 0.00 1.76 228.69 13.87 1.15 -81,361.55 1.00 41,099.83
std 8,957.08 1,040,879.89 0.02 0.00 0.00 0.00 0.06 0.97 291.70 6.09 0.41 572,197.15 0.00 7,108.76
min 27,901.00 8,690.00 -0.07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00 31,664.80
25% 33,226.00 76,410.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00 36,294.97
50% 36,216.00 277,190.00 0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00 39,108.71
75% 46,757.00 1,032,500.00 0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00 45,311.59
max 63,604.00 8,300,000.00 0.07 1.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 60,690.67 
Close                    324
Volume                   498
Change %                 325
news_count                 1
news_total_pos_kw          1
news_total_neg_kw          1
news_llm_sentiment         2
div_event_count            2
div_total_vnd              2
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     24
meeting_event_count        1
predict_value            408
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[29463.0, 29179.0, 29250.0, 29073.0, 28398.0, 29392.0, 29002.0, 28753.0, 28576.0, 28611.0, 29108.0, 29534.0, 30883.0, 30528.0, 30599.0, 30102.0, 30173.0, 29321.0, 29783.0, 29747.0]..., số giá trị độc nhất: 324
Volume:
[104920.0, 57010.0, 87970.0, 55890.0, 109960.0, 93430.0, 143860.0, 30540.0, 109120.0, 10370.0, 20730.0, 76200.0, 86010.0, 269660.0, 48050.0, 75920.0, 65560.0, 59810.0, 56310.0, 16530.0]..., số giá trị độc nhất: 498
Change %:
[0.0375, -0.0096, 0.0024, -0.0060999999999999995, -0.0232, 0.035, -0.013300000000000001, -0.0086, -0.0062, 0.0012, 0.005, 0.0123, 0.0146, 0.045700000000000005, -0.0115, 0.0023, -0.0348, 0.0192, 0.014199999999999999, -0.0116]..., số giá trị độc nhất: 325
news_count:
[nan, 1.0]..., số giá trị độc nhất: 2
news_total_pos_kw:
[nan, 0.0]..., số giá trị độc nhất: 2
news_total_neg_kw:
[nan, 0.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[nan, 0.0, 1.0]..., số giá trị độc nhất: 3
div_event_count:
[nan, 3.0, 1.0]..., số giá trị độc nhất: 3
div_total_vnd:
[nan, 600.0, 0.0]..., số giá trị độc nhất: 3
div_total_bonus_ratio:
[nan, 21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 3
it_event_count:
[nan, 1.0, 2.0, 6.0]..., số giá trị độc nhất: 4
it_total_executed_vol:
[nan, 78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0]..., số giá trị độc nhất: 25
meeting_event_count:
[nan, 1.0]..., số giá trị độc nhất: 2
predict_value:
[nan, 31691.02210223359, 31687.283002712877, 31664.79769262038, 32059.76739071032, 32165.42842749107, 33082.786489533966, 33203.3664529299, 32884.48509838263, 33062.784286322014, 32889.051499696, 32729.49474456649, 32631.153359199623, 32452.85417126024, 32291.08273894128, 32293.361698122164, 32471.660886061534, 32522.20220555752, 31763.55917817004, 32015.621005889912]..., số giá trị độc nhất: 409
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
In [24]:
basic_stats(merge_fpt,'FPT')

FPT
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2023-01-03 58,435.00 2,030,000.00 0.04 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-04 58,435.00 1,050,000.00 0.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-05 58,874.00 1,340,000.00 0.01 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-06 58,654.00 951,410.00 -0.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2023-01-09 58,654.00 686,250.00 0.00 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2025-03-06 141,600.00 6,420,000.00 0.02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-07 141,400.00 2,950,000.00 -0.00 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-10 139,300.00 5,320,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-11 137,500.00 5,780,000.00 -0.01 3.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-12 135,900.00 6,190,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 544 entries, 2023-01-03 to 2025-03-12
Data columns (total 14 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Close                  544 non-null    float64
 1   Volume                 544 non-null    float64
 2   Change %               544 non-null    float64
 3   news_count             465 non-null    float64
 4   news_total_pos_kw      465 non-null    float64
 5   news_total_neg_kw      465 non-null    float64
 6   news_llm_sentiment     465 non-null    float64
 7   div_event_count        465 non-null    float64
 8   div_total_vnd          465 non-null    float64
 9   div_total_bonus_ratio  465 non-null    float64
 10  it_event_count         465 non-null    float64
 11  it_total_executed_vol  465 non-null    float64
 12  meeting_event_count    465 non-null    float64
 13  predict_value          537 non-null    float64
dtypes: float64(14)
memory usage: 63.8 KB
None
Số giá trị bị rỗng:
Close                     0
Volume                    0
Change %                  0
news_count               79
news_total_pos_kw        79
news_total_neg_kw        79
news_llm_sentiment       79
div_event_count          79
div_total_vnd            79
div_total_bonus_ratio    79
it_event_count           79
it_total_executed_vol    79
meeting_event_count      79
predict_value             7
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
count 544.00 544.00 544.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 537.00
mean 97,945.51 3,088,292.68 0.00 1.19 1.03 0.01 0.18 1.52 1,000.00 3.47 1.11 -916,240.34 1.00 100,768.52
std 31,962.95 2,326,429.93 0.01 0.47 0.94 0.11 0.45 0.50 0.00 3.33 0.64 1,428,345.46 0.00 28,903.42
min 56,609.00 292,270.00 -0.05 1.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00 56,867.73
25% 68,728.00 1,390,000.00 -0.01 1.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 73,578.57
50% 86,656.50 2,510,000.00 0.00 1.00 1.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00 96,618.73
75% 131,880.00 3,980,000.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -35,000.00 1.00 133,132.16
max 154,300.00 15,380,000.00 0.07 3.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 137,643.98 
Close                    368
Volume                   386
Change %                 293
news_count                 3
news_total_pos_kw          4
news_total_neg_kw          2
news_llm_sentiment         3
div_event_count            2
div_total_vnd              1
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     10
meeting_event_count        1
predict_value            384
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[58435.0, 58874.0, 58654.0, 58728.0, 59093.0, 58947.0, 59020.0, 59896.0, 60919.0, 61284.0, 61357.0, 61138.0, 60992.0, 59823.0, 58508.0, 58801.0, 59312.0, 59604.0, 60481.0, 59750.0]..., số giá trị độc nhất: 368
Volume:
[2029999.9999999998, 1050000.0, 1340000.0, 951410.0, 686250.0, 995450.0, 1420000.0, 717460.0, 830930.0, 759780.0, 1290000.0, 1260000.0, 1760000.0, 1510000.0, 1180000.0, 2020000.0, 1390000.0, 1750000.0, 2290000.0, 1250000.0]..., số giá trị độc nhất: 386
Change %:
[0.0403, 0.0, 0.0075, -0.0037, 0.0013, 0.0062, -0.0025, -0.0087, 0.01, 0.0148, 0.0171, 0.006, 0.0012, -0.0036, -0.0024, -0.018000000000000002, -0.0012, -0.022000000000000002, 0.005, 0.0025]..., số giá trị độc nhất: 293
news_count:
[nan, 1.0, 2.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw:
[nan, 2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 5
news_total_neg_kw:
[nan, 0.0, 1.0]..., số giá trị độc nhất: 3
news_llm_sentiment:
[nan, 0.0, 1.0, -1.0]..., số giá trị độc nhất: 4
div_event_count:
[nan, 2.0, 1.0]..., số giá trị độc nhất: 3
div_total_vnd:
[nan, 1000.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[nan, 6.666666666666667, 0.0]..., số giá trị độc nhất: 3
it_event_count:
[nan, 9.0, 1.0, 4.0]..., số giá trị độc nhất: 4
it_total_executed_vol:
[nan, 1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 11
meeting_event_count:
[nan, 1.0]..., số giá trị độc nhất: 2
predict_value:
[nan, 58933.418, 58433.203, 58928.645, 59673.836, 60750.73, 60916.79, 60930.81, 60787.57, 60729.094, 59624.78, 59579.145, 58379.848, 58826.22, 58953.387, 59133.402, 58925.348, 58938.566, 59678.984, 59660.797]..., số giá trị độc nhất: 385
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
In [25]:
merge_cmg = merge_cmg.dropna()
merge_fpt = merge_fpt.dropna()
basic_stats(merge_cmg,"CMG")
basic_stats(merge_fpt,"FPT")

CMG
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2023-03-14 27,972.00 86,850.00 -0.03 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 78,000.00 1.00 31,664.80
2023-03-15 29,321.00 123,690.00 0.05 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -133,200.00 1.00 32,037.28
2023-03-16 29,108.00 35,860.00 -0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00 32,059.77
2023-03-17 29,179.00 34,040.00 0.00 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00 32,150.81
2023-03-20 28,611.00 40,200.00 -0.02 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00 31,691.02
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2025-02-19 45,250.00 1,060,000.00 0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,499.99
2025-02-20 44,900.00 676,700.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,447.06
2025-02-21 44,700.00 880,000.00 -0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,296.97
2025-02-24 44,150.00 1,670,000.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,264.80
2025-02-25 44,200.00 939,900.00 0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,190.95 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 488 entries, 2023-03-14 to 2025-02-25
Data columns (total 14 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Close                  488 non-null    float64
 1   Volume                 488 non-null    float64
 2   Change %               488 non-null    float64
 3   news_count             488 non-null    float64
 4   news_total_pos_kw      488 non-null    float64
 5   news_total_neg_kw      488 non-null    float64
 6   news_llm_sentiment     488 non-null    float64
 7   div_event_count        488 non-null    float64
 8   div_total_vnd          488 non-null    float64
 9   div_total_bonus_ratio  488 non-null    float64
 10  it_event_count         488 non-null    float64
 11  it_total_executed_vol  488 non-null    float64
 12  meeting_event_count    488 non-null    float64
 13  predict_value          488 non-null    float64
dtypes: float64(14)
memory usage: 57.2 KB
None
Số giá trị bị rỗng:
Close                    0
Volume                   0
Change %                 0
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
predict_value            0
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
count 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00 488.00
mean 40,740.49 807,990.70 0.00 1.00 0.00 0.00 0.00 1.76 228.69 13.87 1.15 -81,361.55 1.00 41,742.90
std 8,824.43 1,075,209.97 0.02 0.00 0.00 0.00 0.06 0.97 291.70 6.09 0.41 572,197.15 0.00 6,999.90
min 27,972.00 8,690.00 -0.07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00 31,664.80
25% 34,140.00 93,535.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00 37,177.53
50% 36,869.50 323,950.00 0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00 39,446.64
75% 47,297.00 1,112,500.00 0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00 45,654.31
max 63,604.00 8,300,000.00 0.07 1.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 60,690.67 
Close                    309
Volume                   449
Change %                 303
news_count                 1
news_total_pos_kw          1
news_total_neg_kw          1
news_llm_sentiment         2
div_event_count            2
div_total_vnd              2
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     24
meeting_event_count        1
predict_value            381
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[27972.0, 29321.0, 29108.0, 29179.0, 28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0]..., số giá trị độc nhất: 309
Volume:
[86850.0, 123690.0, 35860.0, 34040.0, 40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0]..., số giá trị độc nhất: 449
Change %:
[-0.034300000000000004, 0.0482, -0.0073, 0.0024, -0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085]..., số giá trị độc nhất: 303
news_count:
[1.0]..., số giá trị độc nhất: 1
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
predict_value:
[31664.79769262038, 32037.28208061783, 32059.76739071032, 32150.81224479337, 31691.02210223359, 32063.50649023104, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134]..., số giá trị độc nhất: 381
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date 
FPT
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2023-05-04 57,340.00 657,550.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 62,673.88
2023-05-05 57,267.00 422,140.00 -0.00 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 62,552.63
2023-05-08 57,340.00 479,940.00 0.00 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 62,659.71
2023-05-09 57,632.00 801,300.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 62,886.81
2023-05-10 57,705.00 836,480.00 0.00 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 63,020.75
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
2025-03-06 141,600.00 6,420,000.00 0.02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-07 141,400.00 2,950,000.00 -0.00 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-10 139,300.00 5,320,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-11 137,500.00 5,780,000.00 -0.01 3.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53
2025-03-12 135,900.00 6,190,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 465 entries, 2023-05-04 to 2025-03-12
Data columns (total 14 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   Close                  465 non-null    float64
 1   Volume                 465 non-null    float64
 2   Change %               465 non-null    float64
 3   news_count             465 non-null    float64
 4   news_total_pos_kw      465 non-null    float64
 5   news_total_neg_kw      465 non-null    float64
 6   news_llm_sentiment     465 non-null    float64
 7   div_event_count        465 non-null    float64
 8   div_total_vnd          465 non-null    float64
 9   div_total_bonus_ratio  465 non-null    float64
 10  it_event_count         465 non-null    float64
 11  it_total_executed_vol  465 non-null    float64
 12  meeting_event_count    465 non-null    float64
 13  predict_value          465 non-null    float64
dtypes: float64(14)
memory usage: 54.5 KB
None
Số giá trị bị rỗng:
Close                    0
Volume                   0
Change %                 0
news_count               0
news_total_pos_kw        0
news_total_neg_kw        0
news_llm_sentiment       0
div_event_count          0
div_total_vnd            0
div_total_bonus_ratio    0
it_event_count           0
it_total_executed_vol    0
meeting_event_count      0
predict_value            0
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
count 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00 465.00
mean 104,628.61 3,447,957.66 0.00 1.19 1.03 0.01 0.18 1.52 1,000.00 3.47 1.11 -916,240.34 1.00 107,094.92
std 29,785.21 2,326,373.90 0.01 0.47 0.94 0.11 0.45 0.50 0.00 3.33 0.64 1,428,345.46 0.00 25,790.56
min 57,267.00 422,140.00 -0.05 1.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00 62,552.63
25% 79,747.00 1,800,000.00 -0.01 1.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 84,942.18
50% 98,632.00 2,840,000.00 0.00 1.00 1.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00 102,095.90
75% 133,071.00 4,260,000.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -35,000.00 1.00 134,800.52
max 154,300.00 15,380,000.00 0.07 3.00 3.00 1.00 1.00 2.00 1,000.00 6.67 9.00 1,954,643.00 1.00 137,643.98 
Close                    338
Volume                   328
Change %                 280
news_count                 3
news_total_pos_kw          4
news_total_neg_kw          2
news_llm_sentiment         3
div_event_count            2
div_total_vnd              1
div_total_bonus_ratio      2
it_event_count             3
it_total_executed_vol     10
meeting_event_count        1
predict_value            318
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[57340.0, 57267.0, 57632.0, 57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0]..., số giá trị độc nhất: 338
Volume:
[657550.0, 422140.0, 479940.0, 801300.0, 836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0]..., số giá trị độc nhất: 328
Change %:
[0.0129, -0.0013, 0.0013, 0.0051, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996]..., số giá trị độc nhất: 280
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
predict_value:
[62673.88, 62552.633, 62659.71, 62886.812, 63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41]..., số giá trị độc nhất: 318
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value
Date
In [26]:
# Tạo các giá trị MA và lags
def ma_and_lags(df):
    numeric_cols = df.columns.to_list()
    for col in numeric_cols:
        df[f'{col}_ma_3_days'] = df[col].rolling(window=3).mean()
        df[f'{col}_ma_7_days'] = df[col].rolling(window=7).mean()
        for i in range(1,8):
            df[f'{col}_lags_{i}_days'] = df[col].shift(i)
    df = df.dropna()
    basic_stats(df,'test')
    return df
In [27]:
merge_cmg = ma_and_lags(merge_cmg)
merge_fpt = ma_and_lags(merge_fpt)

test
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date
2023-03-23 28,753.00 52,250.00 0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 -26,200.00 1.00 31,687.28 28,788.67 28,940.71 28,540.00 29,073.00 28,611.00 29,179.00 29,108.00 29,321.00 27,972.00 29,886.67 46,207.14 11,630.00 25,780.00 40,200.00 34,040.00 35,860.00 123,690.00 86,850.00 0.00 0.00 -0.02 0.02 -0.02 0.00 -0.01 0.05 -0.03 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -26,200.00 -41,485.71 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -133,200.00 78,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,805.20 31,907.78 31,664.80 32,063.51 31,691.02 32,150.81 32,059.77 32,037.28 31,664.80
2023-03-24 28,789.00 50,430.00 0.00 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00 31,803.47 28,694.00 28,864.71 28,753.00 28,540.00 29,073.00 28,611.00 29,179.00 29,108.00 29,321.00 38,103.33 35,741.43 52,250.00 11,630.00 25,780.00 40,200.00 34,040.00 35,860.00 123,690.00 -0.00 -0.00 0.01 -0.02 0.02 -0.02 0.00 -0.01 0.05 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -17,466.67 -22,457.14 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -133,200.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,718.52 31,874.38 31,687.28 31,664.80 32,063.51 31,691.02 32,150.81 32,059.77 32,037.28
2023-03-27 28,718.00 65,280.00 -0.00 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00 31,664.80 28,753.33 28,809.00 28,789.00 28,753.00 28,540.00 29,073.00 28,611.00 29,179.00 29,108.00 55,986.67 39,944.29 50,430.00 52,250.00 11,630.00 25,780.00 40,200.00 34,040.00 35,860.00 0.00 -0.00 0.00 0.01 -0.02 0.02 -0.02 0.00 -0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -8,733.33 -18,714.29 0.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,718.52 31,817.96 31,803.47 31,687.28 31,664.80 32,063.51 31,691.02 32,150.81 32,059.77
2023-03-28 28,682.00 72,140.00 -0.00 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00 31,664.80 28,729.67 28,738.00 28,718.00 28,789.00 28,753.00 28,540.00 29,073.00 28,611.00 29,179.00 62,616.67 45,387.14 65,280.00 50,430.00 52,250.00 11,630.00 25,780.00 40,200.00 34,040.00 -0.00 -0.00 -0.00 0.00 0.01 -0.02 0.02 -0.02 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 -14,971.43 0.00 0.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,711.02 31,748.52 31,664.80 31,803.47 31,687.28 31,664.80 32,063.51 31,691.02 32,150.81
2023-03-29 28,398.00 72,140.00 -0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 0.00 1.00 31,664.80 28,599.33 28,707.57 28,682.00 28,718.00 28,789.00 28,753.00 28,540.00 29,073.00 28,611.00 69,853.33 49,950.00 72,140.00 65,280.00 50,430.00 52,250.00 11,630.00 25,780.00 40,200.00 -0.00 -0.00 -0.00 -0.00 0.00 0.01 -0.02 0.02 -0.02 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 -11,228.57 0.00 0.00 0.00 -26,200.00 -26,200.00 -26,200.00 -26,200.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,664.80 31,744.78 31,664.80 31,664.80 31,803.47 31,687.28 31,664.80 32,063.51 31,691.02
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date
2025-02-19 45,250.00 1,060,000.00 0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,499.99 44,800.00 44,950.00 44,600.00 44,550.00 45,000.00 45,250.00 45,350.00 44,650.00 44,050.00 855,966.67 800,957.14 590,500.00 917,400.00 811,200.00 564,500.00 862,700.00 800,400.00 1,850,000.00 0.00 0.00 0.00 -0.01 -0.01 -0.00 0.02 0.01 -0.02 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 43,113.17 43,255.44 42,922.89 42,916.62 43,394.00 43,571.26 43,445.85 43,037.46 43,071.42
2025-02-20 44,900.00 676,700.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,447.06 44,916.67 44,985.71 45,250.00 44,600.00 44,550.00 45,000.00 45,250.00 45,350.00 44,650.00 775,733.33 783,285.71 1,060,000.00 590,500.00 917,400.00 811,200.00 564,500.00 862,700.00 800,400.00 0.00 0.00 0.01 0.00 -0.01 -0.01 -0.00 0.02 0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 43,289.98 43,313.95 43,499.99 42,922.89 42,916.62 43,394.00 43,571.26 43,445.85 43,037.46
2025-02-21 44,700.00 880,000.00 -0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,296.97 44,950.00 44,892.86 44,900.00 45,250.00 44,600.00 44,550.00 45,000.00 45,250.00 45,350.00 872,233.33 785,757.14 676,700.00 1,060,000.00 590,500.00 917,400.00 811,200.00 564,500.00 862,700.00 0.00 -0.00 -0.01 0.01 0.00 -0.01 -0.01 -0.00 0.02 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 43,414.67 43,292.68 43,447.06 43,499.99 42,922.89 42,916.62 43,394.00 43,571.26 43,445.85
2025-02-24 44,150.00 1,670,000.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,264.80 44,583.33 44,735.71 44,700.00 44,900.00 45,250.00 44,600.00 44,550.00 45,000.00 45,250.00 1,075,566.67 943,685.71 880,000.00 676,700.00 1,060,000.00 590,500.00 917,400.00 811,200.00 564,500.00 -0.01 -0.00 -0.00 -0.01 0.01 0.00 -0.01 -0.01 -0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 43,336.28 43,248.90 43,296.97 43,447.06 43,499.99 42,922.89 42,916.62 43,394.00 43,571.26
2025-02-25 44,200.00 939,900.00 0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 38,800.00 1.00 43,190.95 44,350.00 44,621.43 44,150.00 44,700.00 44,900.00 45,250.00 44,600.00 44,550.00 45,000.00 1,163,300.00 962,071.43 1,670,000.00 880,000.00 676,700.00 1,060,000.00 590,500.00 917,400.00 811,200.00 -0.01 -0.00 -0.01 -0.00 -0.01 0.01 0.00 -0.01 -0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 43,250.91 43,219.90 43,264.80 43,296.97 43,447.06 43,499.99 42,922.89 42,916.62 43,394.00 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 481 entries, 2023-03-23 to 2025-02-25
Columns: 140 entries, Close to predict_value_lags_7_days
dtypes: float64(140)
memory usage: 529.9 KB
None
Số giá trị bị rỗng:
Close                                0
Volume                               0
Change %                             0
news_count                           0
news_total_pos_kw                    0
news_total_neg_kw                    0
news_llm_sentiment                   0
div_event_count                      0
div_total_vnd                        0
div_total_bonus_ratio                0
it_event_count                       0
it_total_executed_vol                0
meeting_event_count                  0
predict_value                        0
Close_ma_3_days                      0
Close_ma_7_days                      0
Close_lags_1_days                    0
Close_lags_2_days                    0
Close_lags_3_days                    0
Close_lags_4_days                    0
Close_lags_5_days                    0
Close_lags_6_days                    0
Close_lags_7_days                    0
Volume_ma_3_days                     0
Volume_ma_7_days                     0
Volume_lags_1_days                   0
Volume_lags_2_days                   0
Volume_lags_3_days                   0
Volume_lags_4_days                   0
Volume_lags_5_days                   0
Volume_lags_6_days                   0
Volume_lags_7_days                   0
Change %_ma_3_days                   0
Change %_ma_7_days                   0
Change %_lags_1_days                 0
Change %_lags_2_days                 0
Change %_lags_3_days                 0
Change %_lags_4_days                 0
Change %_lags_5_days                 0
Change %_lags_6_days                 0
Change %_lags_7_days                 0
news_count_ma_3_days                 0
news_count_ma_7_days                 0
news_count_lags_1_days               0
news_count_lags_2_days               0
news_count_lags_3_days               0
news_count_lags_4_days               0
news_count_lags_5_days               0
news_count_lags_6_days               0
news_count_lags_7_days               0
news_total_pos_kw_ma_3_days          0
news_total_pos_kw_ma_7_days          0
news_total_pos_kw_lags_1_days        0
news_total_pos_kw_lags_2_days        0
news_total_pos_kw_lags_3_days        0
news_total_pos_kw_lags_4_days        0
news_total_pos_kw_lags_5_days        0
news_total_pos_kw_lags_6_days        0
news_total_pos_kw_lags_7_days        0
news_total_neg_kw_ma_3_days          0
news_total_neg_kw_ma_7_days          0
news_total_neg_kw_lags_1_days        0
news_total_neg_kw_lags_2_days        0
news_total_neg_kw_lags_3_days        0
news_total_neg_kw_lags_4_days        0
news_total_neg_kw_lags_5_days        0
news_total_neg_kw_lags_6_days        0
news_total_neg_kw_lags_7_days        0
news_llm_sentiment_ma_3_days         0
news_llm_sentiment_ma_7_days         0
news_llm_sentiment_lags_1_days       0
news_llm_sentiment_lags_2_days       0
news_llm_sentiment_lags_3_days       0
news_llm_sentiment_lags_4_days       0
news_llm_sentiment_lags_5_days       0
news_llm_sentiment_lags_6_days       0
news_llm_sentiment_lags_7_days       0
div_event_count_ma_3_days            0
div_event_count_ma_7_days            0
div_event_count_lags_1_days          0
div_event_count_lags_2_days          0
div_event_count_lags_3_days          0
div_event_count_lags_4_days          0
div_event_count_lags_5_days          0
div_event_count_lags_6_days          0
div_event_count_lags_7_days          0
div_total_vnd_ma_3_days              0
div_total_vnd_ma_7_days              0
div_total_vnd_lags_1_days            0
div_total_vnd_lags_2_days            0
div_total_vnd_lags_3_days            0
div_total_vnd_lags_4_days            0
div_total_vnd_lags_5_days            0
div_total_vnd_lags_6_days            0
div_total_vnd_lags_7_days            0
div_total_bonus_ratio_ma_3_days      0
div_total_bonus_ratio_ma_7_days      0
div_total_bonus_ratio_lags_1_days    0
div_total_bonus_ratio_lags_2_days    0
div_total_bonus_ratio_lags_3_days    0
div_total_bonus_ratio_lags_4_days    0
div_total_bonus_ratio_lags_5_days    0
div_total_bonus_ratio_lags_6_days    0
div_total_bonus_ratio_lags_7_days    0
it_event_count_ma_3_days             0
it_event_count_ma_7_days             0
it_event_count_lags_1_days           0
it_event_count_lags_2_days           0
it_event_count_lags_3_days           0
it_event_count_lags_4_days           0
it_event_count_lags_5_days           0
it_event_count_lags_6_days           0
it_event_count_lags_7_days           0
it_total_executed_vol_ma_3_days      0
it_total_executed_vol_ma_7_days      0
it_total_executed_vol_lags_1_days    0
it_total_executed_vol_lags_2_days    0
it_total_executed_vol_lags_3_days    0
it_total_executed_vol_lags_4_days    0
it_total_executed_vol_lags_5_days    0
it_total_executed_vol_lags_6_days    0
it_total_executed_vol_lags_7_days    0
meeting_event_count_ma_3_days        0
meeting_event_count_ma_7_days        0
meeting_event_count_lags_1_days      0
meeting_event_count_lags_2_days      0
meeting_event_count_lags_3_days      0
meeting_event_count_lags_4_days      0
meeting_event_count_lags_5_days      0
meeting_event_count_lags_6_days      0
meeting_event_count_lags_7_days      0
predict_value_ma_3_days              0
predict_value_ma_7_days              0
predict_value_lags_1_days            0
predict_value_lags_2_days            0
predict_value_lags_3_days            0
predict_value_lags_4_days            0
predict_value_lags_5_days            0
predict_value_lags_6_days            0
predict_value_lags_7_days            0
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
count 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00 481.00
mean 40,913.84 819,005.01 0.00 1.00 0.00 0.00 0.00 1.74 223.28 13.75 1.15 -82,158.49 1.00 41,886.08 40,881.68 40,816.29 40,881.28 40,849.93 40,816.48 40,783.80 40,750.24 40,718.48 40,684.01 816,578.98 812,591.89 817,075.14 813,656.80 811,910.85 810,574.76 808,445.57 807,475.07 805,748.36 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.75 1.76 1.75 1.75 1.76 1.76 1.77 1.77 1.77 224.53 227.03 224.53 225.78 227.03 228.27 229.52 230.77 232.02 13.78 13.83 13.78 13.80 13.83 13.86 13.88 13.91 13.93 1.15 1.15 1.15 1.15 1.15 1.15 1.15 1.15 1.15 -82,293.63 -82,595.68 -82,293.63 -82,428.76 -82,563.90 -82,699.03 -82,834.17 -83,191.75 -83,110.26 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 41,862.34 41,815.02 41,862.11 41,838.82 41,814.70 41,791.21 41,767.43 41,744.80 41,721.40
std 8,769.50 1,079,092.84 0.02 0.00 0.00 0.00 0.06 0.97 290.33 6.06 0.41 576,275.51 0.00 6,948.41 8,761.16 8,746.84 8,786.32 8,801.52 8,817.41 8,831.37 8,845.02 8,858.59 8,875.89 989,023.05 943,064.30 1,079,706.08 1,079,602.89 1,080,174.29 1,080,739.19 1,081,255.49 1,081,660.94 1,082,147.91 0.01 0.01 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.04 0.02 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.97 0.97 0.97 0.97 0.97 0.97 0.97 0.97 0.97 290.08 289.82 290.65 290.98 291.29 291.60 291.91 292.21 292.50 6.06 6.05 6.07 6.07 6.08 6.09 6.09 6.10 6.11 0.37 0.34 0.41 0.41 0.41 0.41 0.41 0.41 0.41 554,430.49 524,227.39 576,254.71 576,233.87 576,213.00 576,192.10 576,171.17 576,148.90 576,168.96 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 6,944.13 6,925.81 6,963.76 6,977.77 6,992.77 7,006.23 7,019.82 7,033.63 7,048.42
min 28,327.00 8,690.00 -0.07 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -1,502,100.00 1.00 31,664.80 28,362.67 28,575.71 28,327.00 28,327.00 28,327.00 28,327.00 28,327.00 28,327.00 27,972.00 14,943.33 29,157.14 8,690.00 8,690.00 8,690.00 8,690.00 8,690.00 8,690.00 8,690.00 -0.04 -0.03 -0.07 -0.07 -0.07 -0.07 -0.07 -0.07 -0.07 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 31,664.80 31,687.82 31,664.80 31,664.80 31,664.80 31,664.80 31,664.80 31,664.80 31,664.80
25% 34,291.00 97,460.00 -0.01 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -360,100.00 1.00 37,238.92 34,291.00 34,209.71 34,220.00 34,220.00 34,184.00 34,149.00 34,149.00 34,113.00 34,078.00 117,856.67 120,591.43 94,700.00 94,420.00 93,790.00 93,570.00 93,430.00 93,430.00 93,150.00 -0.00 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 37,188.88 37,115.88 37,225.83 37,200.91 37,197.74 37,197.74 37,180.00 37,170.13 37,103.24
50% 36,937.00 334,110.00 0.00 1.00 0.00 0.00 0.00 1.00 0.00 9.09 1.00 -60,400.00 1.00 39,490.46 36,952.00 36,763.14 36,937.00 36,892.00 36,892.00 36,847.00 36,802.00 36,757.00 36,712.00 358,046.67 354,644.29 328,450.00 325,120.00 324,560.00 323,340.00 320,790.00 320,510.00 318,130.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -68,400.00 -68,400.00 -60,400.00 -60,400.00 -60,400.00 -60,400.00 -60,400.00 -68,400.00 -68,400.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 39,574.53 39,420.40 39,450.04 39,447.13 39,446.64 39,446.64 39,441.70 39,431.31 39,408.98
75% 47,387.00 1,130,000.00 0.01 1.00 0.00 0.00 0.00 3.00 600.00 21.62 1.00 10,000.00 1.00 45,837.18 47,207.33 47,021.43 47,387.00 47,387.00 47,387.00 47,387.00 47,387.00 47,387.00 47,387.00 1,171,033.33 1,097,902.86 1,130,000.00 1,120,000.00 1,120,000.00 1,120,000.00 1,120,000.00 1,120,000.00 1,120,000.00 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 3,066.67 0.00 10,000.00 10,000.00 10,000.00 10,000.00 10,000.00 10,000.00 10,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 45,746.49 45,647.30 45,837.18 45,837.18 45,837.18 45,837.18 45,837.18 45,837.18 45,837.18
max 63,604.00 8,300,000.00 0.07 1.00 0.00 0.00 1.00 3.00 600.00 21.62 6.00 3,470,870.00 1.00 60,690.67 63,183.33 62,638.43 63,604.00 63,604.00 63,604.00 63,604.00 63,604.00 63,604.00 63,604.00 6,126,666.67 4,695,714.29 8,300,000.00 8,300,000.00 8,300,000.00 8,300,000.00 8,300,000.00 8,300,000.00 8,300,000.00 0.07 0.05 0.07 0.07 0.07 0.07 0.07 0.07 0.07 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.14 1.00 1.00 1.00 1.00 1.00 1.00 1.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 3.33 2.57 6.00 6.00 6.00 6.00 6.00 6.00 6.00 2,930,580.00 2,313,105.71 3,470,870.00 3,470,870.00 3,470,870.00 3,470,870.00 3,470,870.00 3,470,870.00 3,470,870.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 60,627.67 60,510.87 60,690.67 60,690.67 60,690.67 60,690.67 60,690.67 60,690.67 60,690.67 
Close                                304
Volume                               444
Change %                             298
news_count                             1
news_total_pos_kw                      1
news_total_neg_kw                      1
news_llm_sentiment                     2
div_event_count                        2
div_total_vnd                          2
div_total_bonus_ratio                  2
it_event_count                         3
it_total_executed_vol                 22
meeting_event_count                    1
predict_value                        376
Close_ma_3_days                      432
Close_ma_7_days                      458
Close_lags_1_days                    304
Close_lags_2_days                    304
Close_lags_3_days                    304
Close_lags_4_days                    304
Close_lags_5_days                    304
Close_lags_6_days                    303
Close_lags_7_days                    303
Volume_ma_3_days                     470
Volume_ma_7_days                     480
Volume_lags_1_days                   444
Volume_lags_2_days                   443
Volume_lags_3_days                   443
Volume_lags_4_days                   442
Volume_lags_5_days                   443
Volume_lags_6_days                   443
Volume_lags_7_days                   443
Change %_ma_3_days                   451
Change %_ma_7_days                   467
Change %_lags_1_days                 299
Change %_lags_2_days                 299
Change %_lags_3_days                 299
Change %_lags_4_days                 298
Change %_lags_5_days                 299
Change %_lags_6_days                 300
Change %_lags_7_days                 301
news_count_ma_3_days                   1
news_count_ma_7_days                   1
news_count_lags_1_days                 1
news_count_lags_2_days                 1
news_count_lags_3_days                 1
news_count_lags_4_days                 1
news_count_lags_5_days                 1
news_count_lags_6_days                 1
news_count_lags_7_days                 1
news_total_pos_kw_ma_3_days            1
news_total_pos_kw_ma_7_days            1
news_total_pos_kw_lags_1_days          1
news_total_pos_kw_lags_2_days          1
news_total_pos_kw_lags_3_days          1
news_total_pos_kw_lags_4_days          1
news_total_pos_kw_lags_5_days          1
news_total_pos_kw_lags_6_days          1
news_total_pos_kw_lags_7_days          1
news_total_neg_kw_ma_3_days            1
news_total_neg_kw_ma_7_days            1
news_total_neg_kw_lags_1_days          1
news_total_neg_kw_lags_2_days          1
news_total_neg_kw_lags_3_days          1
news_total_neg_kw_lags_4_days          1
news_total_neg_kw_lags_5_days          1
news_total_neg_kw_lags_6_days          1
news_total_neg_kw_lags_7_days          1
news_llm_sentiment_ma_3_days           2
news_llm_sentiment_ma_7_days           2
news_llm_sentiment_lags_1_days         2
news_llm_sentiment_lags_2_days         2
news_llm_sentiment_lags_3_days         2
news_llm_sentiment_lags_4_days         2
news_llm_sentiment_lags_5_days         2
news_llm_sentiment_lags_6_days         2
news_llm_sentiment_lags_7_days         2
div_event_count_ma_3_days              4
div_event_count_ma_7_days              8
div_event_count_lags_1_days            2
div_event_count_lags_2_days            2
div_event_count_lags_3_days            2
div_event_count_lags_4_days            2
div_event_count_lags_5_days            2
div_event_count_lags_6_days            2
div_event_count_lags_7_days            2
div_total_vnd_ma_3_days                4
div_total_vnd_ma_7_days                8
div_total_vnd_lags_1_days              2
div_total_vnd_lags_2_days              2
div_total_vnd_lags_3_days              2
div_total_vnd_lags_4_days              2
div_total_vnd_lags_5_days              2
div_total_vnd_lags_6_days              2
div_total_vnd_lags_7_days              2
div_total_bonus_ratio_ma_3_days        4
div_total_bonus_ratio_ma_7_days        8
div_total_bonus_ratio_lags_1_days      2
div_total_bonus_ratio_lags_2_days      2
div_total_bonus_ratio_lags_3_days      2
div_total_bonus_ratio_lags_4_days      2
div_total_bonus_ratio_lags_5_days      2
div_total_bonus_ratio_lags_6_days      2
div_total_bonus_ratio_lags_7_days      2
it_event_count_ma_3_days               7
it_event_count_ma_7_days              12
it_event_count_lags_1_days             3
it_event_count_lags_2_days             3
it_event_count_lags_3_days             3
it_event_count_lags_4_days             3
it_event_count_lags_5_days             3
it_event_count_lags_6_days             3
it_event_count_lags_7_days             3
it_total_executed_vol_ma_3_days       61
it_total_executed_vol_ma_7_days      132
it_total_executed_vol_lags_1_days     22
it_total_executed_vol_lags_2_days     22
it_total_executed_vol_lags_3_days     22
it_total_executed_vol_lags_4_days     22
it_total_executed_vol_lags_5_days     22
it_total_executed_vol_lags_6_days     23
it_total_executed_vol_lags_7_days     24
meeting_event_count_ma_3_days          1
meeting_event_count_ma_7_days          1
meeting_event_count_lags_1_days        1
meeting_event_count_lags_2_days        1
meeting_event_count_lags_3_days        1
meeting_event_count_lags_4_days        1
meeting_event_count_lags_5_days        1
meeting_event_count_lags_6_days        1
meeting_event_count_lags_7_days        1
predict_value_ma_3_days              457
predict_value_ma_7_days              476
predict_value_lags_1_days            375
predict_value_lags_2_days            375
predict_value_lags_3_days            375
predict_value_lags_4_days            375
predict_value_lags_5_days            375
predict_value_lags_6_days            375
predict_value_lags_7_days            374
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0, 29570.0, 29321.0, 29392.0, 29499.0, 29286.0]..., số giá trị độc nhất: 304
Volume:
[52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0, 17090.0, 40340.0, 13310.0, 64860.0, 51130.0]..., số giá trị độc nhất: 444
Change %:
[0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048, 0.0024, -0.0060999999999999995, -0.0024, -0.0074, 0.0062]..., số giá trị độc nhất: 298
news_count:
[1.0]..., số giá trị độc nhất: 1
news_total_pos_kw:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
predict_value:
[31687.283002712877, 31803.46796933564, 31664.79769262038, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687, 32393.675528492684, 32413.00634430984, 32407.61690532592, 33609.280503080525]..., số giá trị độc nhất: 376
Close_ma_3_days:
[28788.666666666668, 28694.0, 28753.333333333332, 28729.666666666668, 28599.333333333332, 28481.0, 28362.666666666668, 28504.666666666668, 28646.666666666668, 29120.0, 29321.333333333332, 29569.666666666668, 29498.666666666668, 29546.0, 29605.333333333332, 29629.0, 29712.0, 29700.0, 29688.0, 29640.666666666668]..., số giá trị độc nhất: 432
Close_ma_7_days:
[28940.714285714286, 28864.714285714286, 28809.0, 28738.0, 28707.571428571428, 28606.14285714286, 28575.714285714286, 28585.85714285714, 28732.85714285714, 28839.428571428572, 29001.714285714286, 29169.0, 29356.714285714286, 29448.0, 29579.85714285714, 29574.85714285714, 29615.428571428572, 29635.714285714286, 29656.0, 29645.85714285714]..., số giá trị độc nhất: 458
Close_lags_1_days:
[28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0, 29570.0, 29321.0, 29392.0, 29499.0]..., số giá trị độc nhất: 304
Close_lags_2_days:
[29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0, 29570.0, 29321.0, 29392.0]..., số giá trị độc nhất: 304
Close_lags_3_days:
[28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0, 29570.0, 29321.0]..., số giá trị độc nhất: 304
Close_lags_4_days:
[29179.0, 28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0, 29570.0]..., số giá trị độc nhất: 304
Close_lags_5_days:
[29108.0, 29179.0, 28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0, 29676.0]..., số giá trị độc nhất: 304
Close_lags_6_days:
[29321.0, 29108.0, 29179.0, 28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0, 29712.0]..., số giá trị độc nhất: 303
Close_lags_7_days:
[27972.0, 29321.0, 29108.0, 29179.0, 28611.0, 29073.0, 28540.0, 28753.0, 28789.0, 28718.0, 28682.0, 28398.0, 28363.0, 28327.0, 28824.0, 29747.0, 29428.0, 29534.0, 29641.0, 29463.0]..., số giá trị độc nhất: 303
Volume_ma_3_days:
[29886.666666666668, 38103.333333333336, 55986.666666666664, 62616.666666666664, 69853.33333333333, 55796.666666666664, 51876.666666666664, 58180.0, 67006.66666666667, 119210.0, 97500.0, 94650.0, 32546.666666666668, 28110.0, 88393.33333333333, 91426.66666666667, 92920.0, 32403.333333333332, 23580.0, 39503.333333333336]..., số giá trị độc nhất: 470
Volume_ma_7_days:
[46207.142857142855, 35741.42857142857, 39944.28571428572, 45387.142857142855, 49950.0, 49568.57142857143, 56532.857142857145, 62075.71428571428, 61955.71428571428, 83628.57142857143, 77025.71428571429, 72582.85714285714, 73664.28571428571, 66840.0, 85531.42857142857, 84130.0, 55572.857142857145, 57632.857142857145, 53671.42857142857, 58554.28571428572]..., số giá trị độc nhất: 480
Volume_lags_1_days:
[11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0, 17090.0, 40340.0, 13310.0, 64860.0]..., số giá trị độc nhất: 444
Volume_lags_2_days:
[25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0, 17090.0, 40340.0, 13310.0]..., số giá trị độc nhất: 443
Volume_lags_3_days:
[40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0, 17090.0, 40340.0]..., số giá trị độc nhất: 443
Volume_lags_4_days:
[34040.0, 40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0, 17090.0]..., số giá trị độc nhất: 442
Volume_lags_5_days:
[35860.0, 34040.0, 40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0, 39780.0]..., số giá trị độc nhất: 443
Volume_lags_6_days:
[123690.0, 35860.0, 34040.0, 40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0, 221890.0]..., số giá trị độc nhất: 443
Volume_lags_7_days:
[86850.0, 123690.0, 35860.0, 34040.0, 40200.0, 25780.0, 11630.0, 52250.0, 50430.0, 65280.0, 72140.0, 23110.0, 60380.0, 91050.0, 49590.0, 216990.0, 25920.0, 41040.0, 30680.0, 12610.0]..., số giá trị độc nhất: 443
Change %_ma_3_days:
[0.0017666666666666664, -0.003166666666666667, 0.0021, -0.0008333333333333334, -0.004566666666666666, -0.004133333333333333, -0.0041333333333333335, 0.005, 0.005000000000000001, 0.016533333333333334, 0.007133333333333334, 0.008733333333333334, -0.002366666666666667, 0.0024, -0.0008, 0.0020333333333333336, 0.0008333333333333335, 0.0028333333333333335, -0.00039999999999999996, -0.0015999999999999999]..., số giá trị độc nhất: 451
Change %_ma_7_days:
[0.0041571428571428575, -0.0025428571428571427, -0.001857142857142857, -0.0023857142857142857, -0.001014285714285714, -0.0034857142857142856, -0.0010571428571428568, 0.00037142857142857214, 1.4285714285714912e-05, 0.005128571428571429, 0.0037857142857142872, 0.005714285714285715, 0.005885714285714287, 0.006585714285714286, 0.003228571428571429, 0.004614285714285716, -0.0001428571428571425, 0.0013857142857142863, 0.0007000000000000006, -0.00032857142857142796]..., số giá trị độc nhất: 467
Change %_lags_1_days:
[-0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048, 0.0024, -0.0060999999999999995, -0.0024, -0.0074]..., số giá trị độc nhất: 299
Change %_lags_2_days:
[0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048, 0.0024, -0.0060999999999999995, -0.0024]..., số giá trị độc nhất: 299
Change %_lags_3_days:
[-0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048, 0.0024, -0.0060999999999999995]..., số giá trị độc nhất: 299
Change %_lags_4_days:
[0.0024, -0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048, -0.0060999999999999995]..., số giá trị độc nhất: 298
Change %_lags_5_days:
[-0.0073, 0.0024, -0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036, -0.0048]..., số giá trị độc nhất: 299
Change %_lags_6_days:
[0.0482, -0.0073, 0.0024, -0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085, -0.0036]..., số giá trị độc nhất: 300
Change %_lags_7_days:
[-0.034300000000000004, 0.0482, -0.0073, 0.0024, -0.0195, 0.0161, -0.0183, 0.0075, 0.0013, -0.0025, -0.0013, -0.009899999999999999, -0.0012, 0.0175, 0.0333, -0.010700000000000001, 0.0036, 0.0, -0.006, 0.0085]..., số giá trị độc nhất: 301
news_count_ma_3_days:
[1.0]..., số giá trị độc nhất: 1
news_count_ma_7_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_1_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_2_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_3_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_4_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_5_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_6_days:
[1.0]..., số giá trị độc nhất: 1
news_count_lags_7_days:
[1.0]..., số giá trị độc nhất: 1
news_total_pos_kw_ma_3_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_ma_7_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_1_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_2_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_3_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_4_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_5_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_6_days:
[0.0]..., số giá trị độc nhất: 1
news_total_pos_kw_lags_7_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_ma_3_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_ma_7_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_1_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_2_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_3_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_4_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_5_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_6_days:
[0.0]..., số giá trị độc nhất: 1
news_total_neg_kw_lags_7_days:
[0.0]..., số giá trị độc nhất: 1
news_llm_sentiment_ma_3_days:
[0.0, 0.3333333333333333]..., số giá trị độc nhất: 2
news_llm_sentiment_ma_7_days:
[0.0, 0.14285714285714285]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_1_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_2_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_3_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_4_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_5_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_6_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_lags_7_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_ma_3_days:
[3.0, 2.3333333333333335, 1.6666666666666667, 1.0]..., số giá trị độc nhất: 4
div_event_count_ma_7_days:
[3.0, 2.7142857142857144, 2.4285714285714284, 2.142857142857143, 1.8571428571428572, 1.5714285714285714, 1.2857142857142858, 1.0]..., số giá trị độc nhất: 8
div_event_count_lags_1_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_2_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_3_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_4_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_5_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_6_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_7_days:
[3.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd_ma_3_days:
[600.0, 400.0, 200.0, 0.0]..., số giá trị độc nhất: 4
div_total_vnd_ma_7_days:
[600.0, 514.2857142857143, 428.57142857142856, 342.85714285714283, 257.14285714285717, 171.42857142857142, 85.71428571428571, 0.0]..., số giá trị độc nhất: 8
div_total_vnd_lags_1_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_2_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_3_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_4_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_5_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_6_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_vnd_lags_7_days:
[600.0, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_ma_3_days:
[21.61716171617162, 17.441744174417444, 13.266326632663267, 9.090909090909092]..., số giá trị độc nhất: 4
div_total_bonus_ratio_ma_7_days:
[21.61716171617162, 19.82769705541983, 18.03823239466804, 16.24876773391625, 14.459303073164461, 12.669838412412672, 10.880373751660882, 9.090909090909092]..., số giá trị độc nhất: 8
div_total_bonus_ratio_lags_1_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_2_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_3_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_4_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_5_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_6_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_7_days:
[21.61716171617162, 9.090909090909092]..., số giá trị độc nhất: 2
it_event_count_ma_3_days:
[1.0, 1.3333333333333333, 1.6666666666666667, 2.0, 3.3333333333333335, 3.0, 2.6666666666666665]..., số giá trị độc nhất: 7
it_event_count_ma_7_days:
[1.0, 1.1428571428571428, 1.2857142857142858, 1.4285714285714286, 1.5714285714285714, 1.7142857142857142, 1.8571428571428572, 2.0, 2.5714285714285716, 2.4285714285714284, 2.2857142857142856, 2.142857142857143]..., số giá trị độc nhất: 12
it_event_count_lags_1_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_2_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_3_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_4_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_5_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_6_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_event_count_lags_7_days:
[1.0, 2.0, 6.0]..., số giá trị độc nhất: 3
it_total_executed_vol_ma_3_days:
[-26200.0, -17466.666666666668, -8733.333333333334, 0.0, -20133.333333333332, -40266.666666666664, -60400.0, -106933.33333333333, -153466.66666666666, -200000.0, 483333.3333333333, 1166666.6666666667, 1850000.0, 2390290.0, 2930580.0, 2271646.6666666665, 1072423.3333333333, -126800.0, -585233.3333333334, -1043666.6666666666]..., số giá trị độc nhất: 61
it_total_executed_vol_ma_7_days:
[-41485.71428571428, -22457.14285714286, -18714.285714285714, -14971.42857142857, -11228.57142857143, -7485.714285714285, -3742.8571428571427, 0.0, -8628.57142857143, -17257.14285714286, -25885.714285714286, -34514.28571428572, -43142.857142857145, -51771.42857142857, -60400.0, -80342.85714285714, -100285.71428571429, -120228.57142857143, -140171.42857142858, -160114.2857142857]..., số giá trị độc nhất: 132
it_total_executed_vol_lags_1_days:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
it_total_executed_vol_lags_2_days:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
it_total_executed_vol_lags_3_days:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
it_total_executed_vol_lags_4_days:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
it_total_executed_vol_lags_5_days:
[-26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0, -500000.0]..., số giá trị độc nhất: 22
it_total_executed_vol_lags_6_days:
[-133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0, 23600.0]..., số giá trị độc nhất: 23
it_total_executed_vol_lags_7_days:
[78000.0, -133200.0, -26200.0, 0.0, -60400.0, -200000.0, 1850000.0, 3470870.0, -126800.0, -1502100.0, 18100.0, -161300.0, -540900.0, 200000.0, -439200.0, -360100.0, -720600.0, 10000.0, -469400.0, -280574.0]..., số giá trị độc nhất: 24
meeting_event_count_ma_3_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_ma_7_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_1_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_2_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_3_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_4_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_5_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_6_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_7_days:
[1.0]..., số giá trị độc nhất: 1
predict_value_ma_3_days:
[31805.195728521434, 31718.5162215563, 31711.021118192133, 31664.79769262038, 31861.35521746364, 32057.912742306897, 32391.301337668217, 32473.248614908895, 32613.1652884208, 32605.038326526046, 32663.007722797283, 32651.795157908684, 32709.00111347527, 32754.99450415326, 32840.982456734586, 32866.482308955725, 32863.200164162125, 32831.13602235378, 32802.354025339046, 32748.43021456606]..., số giá trị độc nhất: 457
predict_value_ma_7_days:
[31907.78157198849, 31874.37955609103, 31817.955313506758, 31748.524663196327, 31744.77831896587, 31687.819919307203, 31687.8199193072, 31768.846671369673, 31833.275571057457, 31976.156397640883, 32095.515598534, 32239.718826400494, 32379.11666931474, 32523.31989718124, 32578.478800876943, 32658.154542672615, 32679.188397103397, 32736.079018802244, 32766.718980044727, 32789.82918466172]..., số giá trị độc nhất: 476
predict_value_lags_1_days:
[31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687, 32393.675528492684, 32413.00634430984, 32407.61690532592, 33609.280503080525]..., số giá trị độc nhất: 375
predict_value_lags_2_days:
[32063.50649023104, 31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687, 32393.675528492684, 32413.00634430984, 32407.61690532592]..., số giá trị độc nhất: 375
predict_value_lags_3_days:
[31691.02210223359, 32063.50649023104, 31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687, 32393.675528492684, 32413.00634430984]..., số giá trị độc nhất: 375
predict_value_lags_4_days:
[32150.81224479337, 31691.02210223359, 32063.50649023104, 31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687, 32393.675528492684]..., số giá trị độc nhất: 375
predict_value_lags_5_days:
[32059.76739071032, 32150.81224479337, 31691.02210223359, 32063.50649023104, 31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134, 32374.788733111687]..., số giá trị độc nhất: 375
predict_value_lags_6_days:
[32037.28208061783, 32059.76739071032, 32150.81224479337, 31691.02210223359, 32063.50649023104, 31664.79769262038, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134]..., số giá trị độc nhất: 375
predict_value_lags_7_days:
[31664.79769262038, 32037.28208061783, 32059.76739071032, 32150.81224479337, 31691.02210223359, 32063.50649023104, 31687.283002712877, 31803.46796933564, 32254.470267150155, 32664.96347870435, 32500.31209887217, 32674.220287685886, 32640.58259302008, 32812.20045971985, 32898.546450764065, 32888.700016383256, 32802.354025339046, 32623.678968189903, 32484.72038257573, 32397.4146280134]..., số giá trị độc nhất: 374
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date 
test
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date
2023-05-15 59,166.00 1,240,000.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 63,607.71 58,581.67 57,955.57 58,801.00 57,778.00 57,705.00 57,632.00 57,340.00 57,267.00 57,340.00 1,099,793.33 834,177.14 1,430,000.00 629,380.00 836,480.00 801,300.00 479,940.00 422,140.00 657,550.00 0.01 0.00 0.02 0.00 0.00 0.01 0.00 -0.00 0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 9.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1,954,643.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 63,315.57 63,009.52 63,361.45 62,977.55 63,020.75 62,886.81 62,659.71 62,552.63 62,673.88
2023-05-16 59,531.00 1,010,000.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 64,101.23 59,166.00 58,279.00 59,166.00 58,801.00 57,778.00 57,705.00 57,632.00 57,340.00 57,267.00 1,226,666.67 918,157.14 1,240,000.00 1,430,000.00 629,380.00 836,480.00 801,300.00 479,940.00 422,140.00 0.01 0.01 0.01 0.02 0.00 0.00 0.01 0.00 -0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 63,690.13 63,230.74 63,607.71 63,361.45 62,977.55 63,020.75 62,886.81 62,659.71 62,552.63
2023-05-17 59,531.00 1,290,000.00 0.00 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 64,079.39 59,409.33 58,592.00 59,531.00 59,166.00 58,801.00 57,778.00 57,705.00 57,632.00 57,340.00 1,180,000.00 1,033,880.00 1,010,000.00 1,240,000.00 1,430,000.00 629,380.00 836,480.00 801,300.00 479,940.00 0.00 0.01 0.01 0.01 0.02 0.00 0.00 0.01 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 63,929.44 63,433.56 64,101.23 63,607.71 63,361.45 62,977.55 63,020.75 62,886.81 62,659.71
2023-05-18 60,554.00 2,050,000.00 0.02 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 65,224.88 59,872.00 59,009.43 59,531.00 59,531.00 59,166.00 58,801.00 57,778.00 57,705.00 57,632.00 1,450,000.00 1,212,265.71 1,290,000.00 1,010,000.00 1,240,000.00 1,430,000.00 629,380.00 836,480.00 801,300.00 0.01 0.01 0.00 0.01 0.01 0.02 0.00 0.00 0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 64,468.50 63,767.57 64,079.39 64,101.23 63,607.71 63,361.45 62,977.55 63,020.75 62,886.81
2023-05-19 60,481.00 1,420,000.00 -0.00 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -4,000,000.00 1.00 64,923.59 60,188.67 59,406.00 60,554.00 59,531.00 59,531.00 59,166.00 58,801.00 57,778.00 57,705.00 1,586,666.67 1,295,625.71 2,050,000.00 1,290,000.00 1,010,000.00 1,240,000.00 1,430,000.00 629,380.00 836,480.00 0.01 0.01 0.02 0.00 0.01 0.01 0.02 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 64,742.62 64,039.40 65,224.88 64,079.39 64,101.23 63,607.71 63,361.45 62,977.55 63,020.75
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date
2025-03-06 141,600.00 6,420,000.00 0.02 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 140,233.33 140,657.14 139,100.00 140,000.00 140,500.00 140,300.00 141,300.00 141,800.00 139,000.00 4,246,666.67 3,814,285.71 2,850,000.00 3,470,000.00 2,530,000.00 4,690,000.00 3,420,000.00 3,320,000.00 6,810,000.00 0.00 0.00 -0.01 -0.00 0.00 -0.01 -0.00 0.02 -0.01 3.00 2.43 3.00 3.00 3.00 1.00 1.00 3.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.29 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,583.62
2025-03-07 141,400.00 2,950,000.00 -0.00 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 140,700.00 140,600.00 141,600.00 139,100.00 140,000.00 140,500.00 140,300.00 141,300.00 141,800.00 4,073,333.33 3,761,428.57 6,420,000.00 2,850,000.00 3,470,000.00 2,530,000.00 4,690,000.00 3,420,000.00 3,320,000.00 0.00 -0.00 0.02 -0.01 -0.00 0.00 -0.01 -0.00 0.02 3.00 2.43 3.00 3.00 3.00 3.00 1.00 1.00 3.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53
2025-03-10 139,300.00 5,320,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 140,766.67 140,314.29 141,400.00 141,600.00 139,100.00 140,000.00 140,500.00 140,300.00 141,300.00 4,896,666.67 4,032,857.14 2,950,000.00 6,420,000.00 2,850,000.00 3,470,000.00 2,530,000.00 4,690,000.00 3,420,000.00 0.00 -0.00 -0.00 0.02 -0.01 -0.00 0.00 -0.01 -0.00 3.00 2.71 3.00 3.00 3.00 3.00 3.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53
2025-03-11 137,500.00 5,780,000.00 -0.01 3.00 2.00 0.00 1.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 139,400.00 139,914.29 139,300.00 141,400.00 141,600.00 139,100.00 140,000.00 140,500.00 140,300.00 4,683,333.33 4,188,571.43 5,320,000.00 2,950,000.00 6,420,000.00 2,850,000.00 3,470,000.00 2,530,000.00 4,690,000.00 -0.01 -0.00 -0.01 -0.00 0.02 -0.01 -0.00 0.00 -0.01 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.14 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53
2025-03-12 135,900.00 6,190,000.00 -0.01 3.00 2.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 137,496.53 137,566.67 139,257.14 137,500.00 139,300.00 141,400.00 141,600.00 139,100.00 140,000.00 140,500.00 5,763,333.33 4,711,428.57 5,780,000.00 5,320,000.00 2,950,000.00 6,420,000.00 2,850,000.00 3,470,000.00 2,530,000.00 -0.01 -0.00 -0.01 -0.01 -0.00 0.02 -0.01 -0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.14 1.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 137,496.53 
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 458 entries, 2023-05-15 to 2025-03-12
Columns: 140 entries, Close to predict_value_lags_7_days
dtypes: float64(140)
memory usage: 504.5 KB
None
Số giá trị bị rỗng:
Close                                0
Volume                               0
Change %                             0
news_count                           0
news_total_pos_kw                    0
news_total_neg_kw                    0
news_llm_sentiment                   0
div_event_count                      0
div_total_vnd                        0
div_total_bonus_ratio                0
it_event_count                       0
it_total_executed_vol                0
meeting_event_count                  0
predict_value                        0
Close_ma_3_days                      0
Close_ma_7_days                      0
Close_lags_1_days                    0
Close_lags_2_days                    0
Close_lags_3_days                    0
Close_lags_4_days                    0
Close_lags_5_days                    0
Close_lags_6_days                    0
Close_lags_7_days                    0
Volume_ma_3_days                     0
Volume_ma_7_days                     0
Volume_lags_1_days                   0
Volume_lags_2_days                   0
Volume_lags_3_days                   0
Volume_lags_4_days                   0
Volume_lags_5_days                   0
Volume_lags_6_days                   0
Volume_lags_7_days                   0
Change %_ma_3_days                   0
Change %_ma_7_days                   0
Change %_lags_1_days                 0
Change %_lags_2_days                 0
Change %_lags_3_days                 0
Change %_lags_4_days                 0
Change %_lags_5_days                 0
Change %_lags_6_days                 0
Change %_lags_7_days                 0
news_count_ma_3_days                 0
news_count_ma_7_days                 0
news_count_lags_1_days               0
news_count_lags_2_days               0
news_count_lags_3_days               0
news_count_lags_4_days               0
news_count_lags_5_days               0
news_count_lags_6_days               0
news_count_lags_7_days               0
news_total_pos_kw_ma_3_days          0
news_total_pos_kw_ma_7_days          0
news_total_pos_kw_lags_1_days        0
news_total_pos_kw_lags_2_days        0
news_total_pos_kw_lags_3_days        0
news_total_pos_kw_lags_4_days        0
news_total_pos_kw_lags_5_days        0
news_total_pos_kw_lags_6_days        0
news_total_pos_kw_lags_7_days        0
news_total_neg_kw_ma_3_days          0
news_total_neg_kw_ma_7_days          0
news_total_neg_kw_lags_1_days        0
news_total_neg_kw_lags_2_days        0
news_total_neg_kw_lags_3_days        0
news_total_neg_kw_lags_4_days        0
news_total_neg_kw_lags_5_days        0
news_total_neg_kw_lags_6_days        0
news_total_neg_kw_lags_7_days        0
news_llm_sentiment_ma_3_days         0
news_llm_sentiment_ma_7_days         0
news_llm_sentiment_lags_1_days       0
news_llm_sentiment_lags_2_days       0
news_llm_sentiment_lags_3_days       0
news_llm_sentiment_lags_4_days       0
news_llm_sentiment_lags_5_days       0
news_llm_sentiment_lags_6_days       0
news_llm_sentiment_lags_7_days       0
div_event_count_ma_3_days            0
div_event_count_ma_7_days            0
div_event_count_lags_1_days          0
div_event_count_lags_2_days          0
div_event_count_lags_3_days          0
div_event_count_lags_4_days          0
div_event_count_lags_5_days          0
div_event_count_lags_6_days          0
div_event_count_lags_7_days          0
div_total_vnd_ma_3_days              0
div_total_vnd_ma_7_days              0
div_total_vnd_lags_1_days            0
div_total_vnd_lags_2_days            0
div_total_vnd_lags_3_days            0
div_total_vnd_lags_4_days            0
div_total_vnd_lags_5_days            0
div_total_vnd_lags_6_days            0
div_total_vnd_lags_7_days            0
div_total_bonus_ratio_ma_3_days      0
div_total_bonus_ratio_ma_7_days      0
div_total_bonus_ratio_lags_1_days    0
div_total_bonus_ratio_lags_2_days    0
div_total_bonus_ratio_lags_3_days    0
div_total_bonus_ratio_lags_4_days    0
div_total_bonus_ratio_lags_5_days    0
div_total_bonus_ratio_lags_6_days    0
div_total_bonus_ratio_lags_7_days    0
it_event_count_ma_3_days             0
it_event_count_ma_7_days             0
it_event_count_lags_1_days           0
it_event_count_lags_2_days           0
it_event_count_lags_3_days           0
it_event_count_lags_4_days           0
it_event_count_lags_5_days           0
it_event_count_lags_6_days           0
it_event_count_lags_7_days           0
it_total_executed_vol_ma_3_days      0
it_total_executed_vol_ma_7_days      0
it_total_executed_vol_lags_1_days    0
it_total_executed_vol_lags_2_days    0
it_total_executed_vol_lags_3_days    0
it_total_executed_vol_lags_4_days    0
it_total_executed_vol_lags_5_days    0
it_total_executed_vol_lags_6_days    0
it_total_executed_vol_lags_7_days    0
meeting_event_count_ma_3_days        0
meeting_event_count_ma_7_days        0
meeting_event_count_lags_1_days      0
meeting_event_count_lags_2_days      0
meeting_event_count_lags_3_days      0
meeting_event_count_lags_4_days      0
meeting_event_count_lags_5_days      0
meeting_event_count_lags_6_days      0
meeting_event_count_lags_7_days      0
predict_value_ma_3_days              0
predict_value_ma_7_days              0
predict_value_lags_1_days            0
predict_value_lags_2_days            0
predict_value_lags_3_days            0
predict_value_lags_4_days            0
predict_value_lags_5_days            0
predict_value_lags_6_days            0
predict_value_lags_7_days            0
dtype: int64
Thống kê các giá trị:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
count 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00 458.00
mean 105,345.94 3,489,177.99 0.00 1.19 1.02 0.01 0.19 1.51 1,000.00 3.42 1.10 -882,110.04 1.00 107,770.75 105,175.69 104,819.04 105,177.60 105,003.54 104,825.38 104,642.48 104,458.51 104,279.83 104,099.35 3,478,500.68 3,460,169.49 3,478,784.98 3,467,539.08 3,457,749.74 3,453,058.25 3,440,088.69 3,434,787.69 3,428,646.97 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.19 1.18 1.19 1.18 1.18 1.17 1.17 1.16 1.16 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.19 0.19 0.19 0.19 0.19 0.19 0.19 0.19 0.19 1.52 1.52 1.52 1.52 1.52 1.52 1.52 1.53 1.53 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 3.44 3.46 3.44 3.45 3.46 3.48 3.49 3.51 3.52 1.10 1.10 1.10 1.10 1.10 1.10 1.10 1.10 1.12 -886,476.86 -895,210.48 -886,476.86 -890,843.67 -895,210.48 -899,577.29 -903,944.10 -908,310.92 -899,676.33 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 107,608.60 107,282.99 107,608.88 107,446.18 107,283.57 107,120.66 106,957.26 106,793.63 106,630.26
std 29,436.16 2,319,551.00 0.01 0.47 0.94 0.11 0.45 0.50 0.00 3.34 0.53 1,388,296.11 0.00 25,395.53 29,460.88 29,506.48 29,481.47 29,525.53 29,564.28 29,596.61 29,628.24 29,665.60 29,699.24 1,945,145.37 1,742,868.69 2,318,086.58 2,319,391.52 2,321,016.93 2,324,214.88 2,324,195.89 2,328,309.78 2,331,922.71 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.39 0.32 0.46 0.45 0.45 0.44 0.43 0.42 0.41 0.89 0.86 0.94 0.94 0.94 0.94 0.94 0.94 0.94 0.08 0.06 0.11 0.11 0.11 0.11 0.11 0.11 0.11 0.30 0.22 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.50 0.49 0.50 0.50 0.50 0.50 0.50 0.50 0.50 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3.32 3.28 3.34 3.33 3.33 3.33 3.33 3.33 3.33 0.52 0.49 0.53 0.53 0.53 0.53 0.53 0.53 0.65 1,384,368.02 1,381,007.48 1,394,949.57 1,401,557.81 1,408,121.47 1,414,641.17 1,421,117.51 1,427,551.08 1,432,883.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 25,428.06 25,488.06 25,441.86 25,488.55 25,533.94 25,578.73 25,623.25 25,667.06 25,709.30
min 59,166.00 614,040.00 -0.05 1.00 0.00 0.00 -1.00 1.00 1,000.00 0.00 1.00 -4,000,000.00 1.00 63,607.71 58,581.67 57,955.57 58,801.00 57,778.00 57,705.00 57,632.00 57,340.00 57,267.00 57,267.00 725,213.33 834,177.14 614,040.00 614,040.00 614,040.00 614,040.00 479,940.00 422,140.00 422,140.00 -0.03 -0.02 -0.05 -0.05 -0.05 -0.05 -0.05 -0.05 -0.05 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.67 -0.29 -1.00 -1.00 -1.00 -1.00 -1.00 -1.00 -1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 -4,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 63,315.57 63,009.52 63,361.45 62,977.55 62,977.55 62,886.81 62,659.71 62,552.63 62,552.63
25% 80,068.50 1,852,500.00 -0.01 1.00 0.00 0.00 0.00 1.00 1,000.00 0.00 1.00 -2,000,000.00 1.00 89,935.33 80,097.17 80,053.14 79,939.50 79,853.50 79,832.00 79,832.00 79,768.25 79,682.50 79,596.50 2,054,166.67 2,297,500.00 1,850,000.00 1,842,500.00 1,832,500.00 1,807,500.00 1,800,000.00 1,785,000.00 1,780,000.00 -0.00 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 -2,000,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 87,771.81 87,841.53 86,441.99 85,173.24 85,068.59 84,991.48 84,949.98 84,915.76 84,858.90
50% 99,018.00 2,860,000.00 0.00 1.00 1.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -60,000.00 1.00 102,222.91 98,817.83 98,349.57 98,846.00 98,760.00 98,674.50 98,632.00 98,460.00 98,073.50 97,859.00 3,050,000.00 3,160,714.29 2,855,000.00 2,850,000.00 2,845,000.00 2,830,000.00 2,820,000.00 2,820,000.00 2,815,000.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.71 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 1.93 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.19 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 -60,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 101,993.47 101,887.11 102,222.91 102,159.41 102,095.90 101,927.06 101,757.54 101,744.85 101,732.83
75% 133,071.00 4,305,000.00 0.01 1.00 2.00 0.00 0.00 2.00 1,000.00 6.67 1.00 -35,000.00 1.00 134,922.23 133,121.17 133,422.46 133,071.00 133,071.00 133,046.25 132,972.00 132,972.00 132,947.25 132,873.00 4,223,333.33 4,188,571.43 4,260,000.00 4,257,500.00 4,240,000.00 4,240,000.00 4,207,500.00 4,207,500.00 4,207,500.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 1.33 1.29 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.33 0.29 0.00 0.00 0.00 0.00 0.00 0.00 0.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 -35,000.00 -53,692.86 -35,000.00 -35,000.00 -35,000.00 -35,000.00 -35,000.00 -35,000.00 -35,000.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 134,826.68 134,606.08 134,878.99 134,790.89 134,722.48 134,517.27 134,202.25 134,031.92 134,006.30
max 154,300.00 15,380,000.00 0.07 3.00 3.00 1.00 1.00 2.00 1,000.00 6.67 4.00 603,600.00 1.00 137,643.98 152,466.67 150,800.00 154,300.00 154,300.00 154,300.00 154,300.00 154,300.00 154,300.00 154,300.00 11,516,666.67 9,788,571.43 15,380,000.00 15,380,000.00 15,380,000.00 15,380,000.00 15,380,000.00 15,380,000.00 15,380,000.00 0.04 0.02 0.07 0.07 0.07 0.07 0.07 0.07 0.07 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 2.29 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.67 0.43 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.86 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 1,000.00 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 6.67 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 9.00 603,600.00 603,600.00 603,600.00 603,600.00 603,600.00 603,600.00 603,600.00 603,600.00 1,954,643.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 137,603.74 137,554.92 137,643.98 137,643.98 137,643.98 137,643.98 137,643.98 137,643.98 137,643.98 
Close                                332
Volume                               321
Change %                             277
news_count                             3
news_total_pos_kw                      4
news_total_neg_kw                      2
news_llm_sentiment                     3
div_event_count                        2
div_total_vnd                          1
div_total_bonus_ratio                  2
it_event_count                         2
it_total_executed_vol                  9
meeting_event_count                    1
predict_value                        311
Close_ma_3_days                      416
Close_ma_7_days                      446
Close_lags_1_days                    332
Close_lags_2_days                    332
Close_lags_3_days                    332
Close_lags_4_days                    332
Close_lags_5_days                    332
Close_lags_6_days                    332
Close_lags_7_days                    331
Volume_ma_3_days                     404
Volume_ma_7_days                     433
Volume_lags_1_days                   321
Volume_lags_2_days                   321
Volume_lags_3_days                   322
Volume_lags_4_days                   323
Volume_lags_5_days                   323
Volume_lags_6_days                   324
Volume_lags_7_days                   325
Change %_ma_3_days                   440
Change %_ma_7_days                   448
Change %_lags_1_days                 277
Change %_lags_2_days                 278
Change %_lags_3_days                 278
Change %_lags_4_days                 277
Change %_lags_5_days                 276
Change %_lags_6_days                 275
Change %_lags_7_days                 276
news_count_ma_3_days                   7
news_count_ma_7_days                  12
news_count_lags_1_days                 3
news_count_lags_2_days                 3
news_count_lags_3_days                 3
news_count_lags_4_days                 3
news_count_lags_5_days                 3
news_count_lags_6_days                 3
news_count_lags_7_days                 3
news_total_pos_kw_ma_3_days            7
news_total_pos_kw_ma_7_days           15
news_total_pos_kw_lags_1_days          4
news_total_pos_kw_lags_2_days          4
news_total_pos_kw_lags_3_days          4
news_total_pos_kw_lags_4_days          4
news_total_pos_kw_lags_5_days          4
news_total_pos_kw_lags_6_days          4
news_total_pos_kw_lags_7_days          4
news_total_neg_kw_ma_3_days            3
news_total_neg_kw_ma_7_days            4
news_total_neg_kw_lags_1_days          2
news_total_neg_kw_lags_2_days          2
news_total_neg_kw_lags_3_days          2
news_total_neg_kw_lags_4_days          2
news_total_neg_kw_lags_5_days          2
news_total_neg_kw_lags_6_days          2
news_total_neg_kw_lags_7_days          2
news_llm_sentiment_ma_3_days           6
news_llm_sentiment_ma_7_days           9
news_llm_sentiment_lags_1_days         3
news_llm_sentiment_lags_2_days         3
news_llm_sentiment_lags_3_days         3
news_llm_sentiment_lags_4_days         3
news_llm_sentiment_lags_5_days         3
news_llm_sentiment_lags_6_days         3
news_llm_sentiment_lags_7_days         3
div_event_count_ma_3_days              4
div_event_count_ma_7_days              8
div_event_count_lags_1_days            2
div_event_count_lags_2_days            2
div_event_count_lags_3_days            2
div_event_count_lags_4_days            2
div_event_count_lags_5_days            2
div_event_count_lags_6_days            2
div_event_count_lags_7_days            2
div_total_vnd_ma_3_days                1
div_total_vnd_ma_7_days                1
div_total_vnd_lags_1_days              1
div_total_vnd_lags_2_days              1
div_total_vnd_lags_3_days              1
div_total_vnd_lags_4_days              1
div_total_vnd_lags_5_days              1
div_total_vnd_lags_6_days              1
div_total_vnd_lags_7_days              1
div_total_bonus_ratio_ma_3_days        5
div_total_bonus_ratio_ma_7_days        9
div_total_bonus_ratio_lags_1_days      2
div_total_bonus_ratio_lags_2_days      2
div_total_bonus_ratio_lags_3_days      2
div_total_bonus_ratio_lags_4_days      2
div_total_bonus_ratio_lags_5_days      2
div_total_bonus_ratio_lags_6_days      2
div_total_bonus_ratio_lags_7_days      2
it_event_count_ma_3_days               4
it_event_count_ma_7_days               8
it_event_count_lags_1_days             2
it_event_count_lags_2_days             2
it_event_count_lags_3_days             2
it_event_count_lags_4_days             2
it_event_count_lags_5_days             2
it_event_count_lags_6_days             2
it_event_count_lags_7_days             3
it_total_executed_vol_ma_3_days       25
it_total_executed_vol_ma_7_days       57
it_total_executed_vol_lags_1_days      9
it_total_executed_vol_lags_2_days      9
it_total_executed_vol_lags_3_days      9
it_total_executed_vol_lags_4_days      9
it_total_executed_vol_lags_5_days      9
it_total_executed_vol_lags_6_days      9
it_total_executed_vol_lags_7_days     10
meeting_event_count_ma_3_days          1
meeting_event_count_ma_7_days          1
meeting_event_count_lags_1_days        1
meeting_event_count_lags_2_days        1
meeting_event_count_lags_3_days        1
meeting_event_count_lags_4_days        1
meeting_event_count_lags_5_days        1
meeting_event_count_lags_6_days        1
meeting_event_count_lags_7_days        1
predict_value_ma_3_days              390
predict_value_ma_7_days              406
predict_value_lags_1_days            312
predict_value_lags_2_days            313
predict_value_lags_3_days            314
predict_value_lags_4_days            315
predict_value_lags_5_days            316
predict_value_lags_6_days            317
predict_value_lags_7_days            318
dtype: int64
Các giá trị độc nhất của từng trường dữ liệu:
Close:
[59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0, 61065.0, 61795.0, 62015.0, 61649.0, 61503.0]..., số giá trị độc nhất: 332
Volume:
[1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0, 1890000.0, 679770.0, 933420.0, 1650000.0, 899560.0]..., số giá trị độc nhất: 321
Change %:
[0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012, -0.0059, -0.0024, 0.0048]..., số giá trị độc nhất: 277
news_count:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_total_pos_kw:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_total_executed_vol:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
meeting_event_count:
[1.0]..., số giá trị độc nhất: 1
predict_value:
[63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85, 65534.06, 65618.61, 65399.188, 65503.727, 65759.06]..., số giá trị độc nhất: 311
Close_ma_3_days:
[58581.666666666664, 59166.0, 59409.333333333336, 59872.0, 60188.666666666664, 60432.0, 60212.666666666664, 59847.333333333336, 60018.0, 60286.0, 60724.333333333336, 60919.0, 61162.333333333336, 61259.666666666664, 61211.0, 61430.333333333336, 61868.666666666664, 62161.0, 61820.0, 61649.333333333336]..., số giá trị độc nhất: 416
Close_ma_7_days:
[57955.57142857143, 58279.0, 58592.0, 59009.42857142857, 59406.0, 59760.71428571428, 59917.142857142855, 59948.42857142857, 60125.857142857145, 60292.857142857145, 60313.71428571428, 60438.857142857145, 60605.857142857145, 60762.42857142857, 61023.28571428572, 61211.142857142855, 61440.71428571428, 61639.0, 61597.28571428572, 61649.42857142857]..., số giá trị độc nhất: 446
Close_lags_1_days:
[58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0, 61065.0, 61795.0, 62015.0, 61649.0]..., số giá trị độc nhất: 332
Close_lags_2_days:
[57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0, 61065.0, 61795.0, 62015.0]..., số giá trị độc nhất: 332
Close_lags_3_days:
[57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0, 61065.0, 61795.0]..., số giá trị độc nhất: 332
Close_lags_4_days:
[57632.0, 57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0, 61065.0]..., số giá trị độc nhất: 332
Close_lags_5_days:
[57340.0, 57632.0, 57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0, 62307.0]..., số giá trị độc nhất: 332
Close_lags_6_days:
[57267.0, 57340.0, 57632.0, 57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0]..., số giá trị độc nhất: 332
Close_lags_7_days:
[57340.0, 57267.0, 57632.0, 57705.0, 57778.0, 58801.0, 59166.0, 59531.0, 60554.0, 60481.0, 60261.0, 59896.0, 59385.0, 60773.0, 60700.0, 61357.0, 61430.0, 60992.0, 61211.0, 62088.0]..., số giá trị độc nhất: 331
Volume_ma_3_days:
[1099793.3333333333, 1226666.6666666667, 1180000.0, 1450000.0, 1586666.6666666667, 1403973.3333333333, 1010046.6666666666, 741393.3333333334, 1084086.6666666667, 1174680.0, 1356666.6666666667, 1496666.6666666667, 1486666.6666666667, 1336860.0, 931270.0, 1191270.0, 1181000.0, 1167730.0, 1087730.0, 1160993.3333333333]..., số giá trị độc nhất: 404
Volume_ma_7_days:
[834177.1428571428, 918157.1428571428, 1033880.0, 1212265.7142857143, 1295625.7142857143, 1311702.857142857, 1231448.5714285714, 1142025.7142857143, 1250597.142857143, 1229168.5714285714, 1102025.7142857143, 1212025.7142857143, 1264608.5714285714, 1242088.5714285714, 1293401.4285714286, 1310544.2857142857, 1244797.142857143, 1212428.5714285714, 1135285.7142857143, 1105222.857142857]..., số giá trị độc nhất: 433
Volume_lags_1_days:
[1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0, 1890000.0, 679770.0, 933420.0, 1650000.0]..., số giá trị độc nhất: 321
Volume_lags_2_days:
[629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0, 1890000.0, 679770.0, 933420.0]..., số giá trị độc nhất: 321
Volume_lags_3_days:
[836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0, 1890000.0, 679770.0]..., số giá trị độc nhất: 322
Volume_lags_4_days:
[801300.0, 836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0, 1890000.0]..., số giá trị độc nhất: 323
Volume_lags_5_days:
[479940.0, 801300.0, 836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0, 973230.0]..., số giá trị độc nhất: 323
Volume_lags_6_days:
[422140.0, 479940.0, 801300.0, 836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0, 710580.0]..., số giá trị độc nhất: 324
Volume_lags_7_days:
[657550.0, 422140.0, 479940.0, 801300.0, 836480.0, 629380.0, 1430000.0, 1240000.0, 1010000.0, 1290000.0, 2049999.9999999998, 1420000.0, 741920.0, 868220.0, 614040.0, 1770000.0, 1140000.0, 1160000.0, 2190000.0, 1110000.0]..., số giá trị độc nhất: 325
Change %_ma_3_days:
[0.0084, 0.010033333333333332, 0.004133333333333332, 0.007799999999999999, 0.005333333333333332, 0.004133333333333333, -0.0036333333333333343, -0.006066666666666668, 0.0029333333333333308, 0.004566666666666664, 0.007399999999999998, 0.0031999999999999993, 0.003999999999999999, 0.0016333333333333323, -0.0007666666666666678, 0.003599999999999999, 0.007133333333333332, 0.004766666666666666, -0.005500000000000001, -0.002666666666666668]..., số giá trị độc nhất: 440
Change %_ma_7_days:
[0.004514285714285714, 0.005585714285714286, 0.0054, 0.0071285714285714286, 0.006771428571428572, 0.006071428571428572, 0.0026714285714285716, 0.0005714285714285715, 0.003028571428571428, 0.0028571428571428567, 0.0003999999999999996, 0.002114285714285714, 0.0027999999999999995, 0.002657142857142857, 0.004385714285714285, 0.003085714285714286, 0.0037571428571428573, 0.0032571428571428573, -0.0006428571428571429, 0.0009]..., số giá trị độc nhất: 448
Change %_lags_1_days:
[0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012, -0.0059, -0.0024]..., số giá trị độc nhất: 277
Change %_lags_2_days:
[0.0013, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012, -0.0059]..., số giá trị độc nhất: 278
Change %_lags_3_days:
[0.0013, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012, -0.0059]..., số giá trị độc nhất: 278
Change %_lags_4_days:
[0.0051, 0.0013, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012]..., số giá trị độc nhất: 277
Change %_lags_5_days:
[0.0013, 0.0051, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165, 0.012]..., số giá trị độc nhất: 276
Change %_lags_6_days:
[-0.0013, 0.0013, 0.0051, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996, -0.0165]..., số giá trị độc nhất: 275
Change %_lags_7_days:
[0.0129, -0.0013, 0.0013, 0.0051, 0.0177, 0.0062, 0.0, 0.0172, -0.0012, -0.0036, -0.0060999999999999995, -0.0085, 0.023399999999999997, 0.0108, 0.0012, -0.0070999999999999995, 0.0036, 0.0143, 0.0034999999999999996, -0.0034999999999999996]..., số giá trị độc nhất: 276
news_count_ma_3_days:
[1.0, 1.3333333333333333, 1.6666666666666667, 2.0, 2.3333333333333335, 3.0, 2.6666666666666665]..., số giá trị độc nhất: 7
news_count_ma_7_days:
[1.0, 1.1428571428571428, 1.2857142857142858, 1.4285714285714286, 1.5714285714285714, 1.8571428571428572, 2.0, 1.7142857142857142, 2.142857142857143, 2.4285714285714284, 2.7142857142857144, 3.0]..., số giá trị độc nhất: 12
news_count_lags_1_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_2_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_3_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_4_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_5_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_6_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_count_lags_7_days:
[1.0, 2.0, 3.0]..., số giá trị độc nhất: 3
news_total_pos_kw_ma_3_days:
[2.0, 1.3333333333333333, 0.6666666666666666, 0.0, 0.3333333333333333, 1.0, 3.0]..., số giá trị độc nhất: 7
news_total_pos_kw_ma_7_days:
[2.0, 1.7142857142857142, 1.4285714285714286, 1.1428571428571428, 0.8571428571428571, 0.5714285714285714, 0.2857142857142857, 0.14285714285714285, 0.0, 0.42857142857142855, 0.7142857142857143, 1.0, 1.2857142857142858, 2.142857142857143, 2.2857142857142856]..., số giá trị độc nhất: 15
news_total_pos_kw_lags_1_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_2_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_3_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_4_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_5_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_6_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_pos_kw_lags_7_days:
[2.0, 0.0, 1.0, 3.0]..., số giá trị độc nhất: 4
news_total_neg_kw_ma_3_days:
[0.0, 0.3333333333333333, 0.6666666666666666]..., số giá trị độc nhất: 3
news_total_neg_kw_ma_7_days:
[0.0, 0.14285714285714285, 0.2857142857142857, 0.42857142857142855]..., số giá trị độc nhất: 4
news_total_neg_kw_lags_1_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_2_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_3_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_4_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_5_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_6_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_total_neg_kw_lags_7_days:
[0.0, 1.0]..., số giá trị độc nhất: 2
news_llm_sentiment_ma_3_days:
[0.0, 0.3333333333333333, 0.6666666666666666, 1.0, -0.3333333333333333, -0.6666666666666666]..., số giá trị độc nhất: 6
news_llm_sentiment_ma_7_days:
[0.0, 0.14285714285714285, 0.2857142857142857, 0.42857142857142855, 0.5714285714285714, 0.7142857142857143, 0.8571428571428571, -0.14285714285714285, -0.2857142857142857]..., số giá trị độc nhất: 9
news_llm_sentiment_lags_1_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_2_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_3_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_4_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_5_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_6_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
news_llm_sentiment_lags_7_days:
[0.0, 1.0, -1.0]..., số giá trị độc nhất: 3
div_event_count_ma_3_days:
[2.0, 1.6666666666666667, 1.3333333333333333, 1.0]..., số giá trị độc nhất: 4
div_event_count_ma_7_days:
[2.0, 1.8571428571428572, 1.7142857142857142, 1.5714285714285714, 1.4285714285714286, 1.2857142857142858, 1.1428571428571428, 1.0]..., số giá trị độc nhất: 8
div_event_count_lags_1_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_2_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_3_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_4_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_5_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_6_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_event_count_lags_7_days:
[2.0, 1.0]..., số giá trị độc nhất: 2
div_total_vnd_ma_3_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_ma_7_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_1_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_2_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_3_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_4_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_5_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_6_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_vnd_lags_7_days:
[1000.0]..., số giá trị độc nhất: 1
div_total_bonus_ratio_ma_3_days:
[6.666666666666667, 4.444444444444444, 2.2222222222222223, 0.0, 4.444444444444445]..., số giá trị độc nhất: 5
div_total_bonus_ratio_ma_7_days:
[6.666666666666667, 5.714285714285714, 4.761904761904762, 3.8095238095238098, 2.857142857142857, 1.904761904761905, 0.9523809523809524, 0.0, 1.9047619047619049]..., số giá trị độc nhất: 9
div_total_bonus_ratio_lags_1_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_2_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_3_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_4_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_5_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_6_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
div_total_bonus_ratio_lags_7_days:
[6.666666666666667, 0.0]..., số giá trị độc nhất: 2
it_event_count_ma_3_days:
[1.0, 2.0, 3.0, 4.0]..., số giá trị độc nhất: 4
it_event_count_ma_7_days:
[1.0, 1.4285714285714286, 1.8571428571428572, 2.2857142857142856, 2.7142857142857144, 3.142857142857143, 3.5714285714285716, 4.0]..., số giá trị độc nhất: 8
it_event_count_lags_1_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_2_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_3_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_4_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_5_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_6_days:
[1.0, 4.0]..., số giá trị độc nhất: 2
it_event_count_lags_7_days:
[9.0, 1.0, 4.0]..., số giá trị độc nhất: 3
it_total_executed_vol_ma_3_days:
[-4000000.0, -2465466.6666666665, -930933.3333333334, 603600.0, 69066.66666666667, -465466.6666666667, -1000000.0, -483333.3333333333, 33333.333333333336, 550000.0, 366666.6666666667, 183333.33333333334, 0.0, -11666.666666666666, -23333.333333333332, -35000.0, -56666.666666666664, -78333.33333333333, -100000.0, -86666.66666666667]..., số giá trị độc nhất: 25
it_total_executed_vol_ma_7_days:
[-4000000.0, -3342342.8571428573, -2684685.714285714, -2027028.5714285714, -1369371.4285714286, -711714.2857142857, -54057.142857142855, 603600.0, 374514.28571428574, 145428.57142857142, -83657.14285714286, -312742.85714285716, -541828.5714285715, -770914.2857142857, -1000000.0, -778571.4285714285, -557142.8571428572, -335714.28571428574, -114285.71428571429, 107142.85714285714]..., số giá trị độc nhất: 57
it_total_executed_vol_lags_1_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_2_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_3_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_4_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_5_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_6_days:
[-4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 9
it_total_executed_vol_lags_7_days:
[1954643.0, -4000000.0, 603600.0, -1000000.0, 550000.0, 0.0, -35000.0, -100000.0, -60000.0, -2000000.0]..., số giá trị độc nhất: 10
meeting_event_count_ma_3_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_ma_7_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_1_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_2_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_3_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_4_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_5_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_6_days:
[1.0]..., số giá trị độc nhất: 1
meeting_event_count_lags_7_days:
[1.0]..., số giá trị độc nhất: 1
predict_value_ma_3_days:
[63315.568999999996, 63690.12899999999, 63929.44133333333, 64468.499, 64742.619999999995, 64947.62666666667, 64684.94533333334, 64381.984333333334, 64629.136666666665, 64952.026000000005, 65417.026000000005, 65461.84033333333, 65539.47566666667, 65570.90333333334, 65593.60333333333, 65550.08333333333, 65560.10666666667, 65525.323333333334, 65562.24333333333, 65517.28599999999]..., số giá trị độc nhất: 390
predict_value_ma_7_days:
[63009.51657142857, 63230.74428571429, 63433.555714285714, 63767.56542857143, 64039.39914285714, 64284.66528571428, 64438.291428571436, 64496.43428571429, 64687.09714285714, 64876.542, 64902.945857142855, 64995.334428571434, 65130.19157142857, 65282.64214285714, 65514.59971428571, 65524.882999999994, 65543.24814285713, 65561.01285714285, 65567.91285714286, 65533.73828571428]..., số giá trị độc nhất: 406
predict_value_lags_1_days:
[63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85, 65534.06, 65618.61, 65399.188, 65503.727]..., số giá trị độc nhất: 312
predict_value_lags_2_days:
[62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85, 65534.06, 65618.61, 65399.188]..., số giá trị độc nhất: 313
predict_value_lags_3_days:
[63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85, 65534.06, 65618.61]..., số giá trị độc nhất: 314
predict_value_lags_4_days:
[62886.812, 63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85, 65534.06]..., số giá trị độc nhất: 315
predict_value_lags_5_days:
[62659.71, 62886.812, 63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99, 65507.85]..., số giá trị độc nhất: 316
predict_value_lags_6_days:
[62552.633, 62659.71, 62886.812, 63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41, 65503.99]..., số giá trị độc nhất: 317
predict_value_lags_7_days:
[62673.88, 62552.633, 62659.71, 62886.812, 63020.754, 62977.547, 63361.453, 63607.707, 64101.227, 64079.39, 65224.88, 64923.59, 64694.41, 64436.836, 64014.707, 65435.867, 65405.504, 65409.707, 65570.31, 65638.41]..., số giá trị độc nhất: 318
Các bản ghi bị trùng:
Close Volume Change % news_count news_total_pos_kw news_total_neg_kw news_llm_sentiment div_event_count div_total_vnd div_total_bonus_ratio it_event_count it_total_executed_vol meeting_event_count predict_value Close_ma_3_days Close_ma_7_days Close_lags_1_days Close_lags_2_days Close_lags_3_days Close_lags_4_days Close_lags_5_days Close_lags_6_days Close_lags_7_days Volume_ma_3_days Volume_ma_7_days Volume_lags_1_days Volume_lags_2_days Volume_lags_3_days Volume_lags_4_days Volume_lags_5_days Volume_lags_6_days Volume_lags_7_days Change %_ma_3_days Change %_ma_7_days Change %_lags_1_days Change %_lags_2_days Change %_lags_3_days Change %_lags_4_days Change %_lags_5_days Change %_lags_6_days Change %_lags_7_days news_count_ma_3_days news_count_ma_7_days news_count_lags_1_days news_count_lags_2_days news_count_lags_3_days news_count_lags_4_days news_count_lags_5_days news_count_lags_6_days news_count_lags_7_days news_total_pos_kw_ma_3_days news_total_pos_kw_ma_7_days news_total_pos_kw_lags_1_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_total_neg_kw_lags_1_days news_total_neg_kw_lags_2_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_7_days news_llm_sentiment_ma_3_days news_llm_sentiment_ma_7_days news_llm_sentiment_lags_1_days news_llm_sentiment_lags_2_days news_llm_sentiment_lags_3_days news_llm_sentiment_lags_4_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_7_days div_event_count_ma_3_days div_event_count_ma_7_days div_event_count_lags_1_days div_event_count_lags_2_days div_event_count_lags_3_days div_event_count_lags_4_days div_event_count_lags_5_days div_event_count_lags_6_days div_event_count_lags_7_days div_total_vnd_ma_3_days div_total_vnd_ma_7_days div_total_vnd_lags_1_days div_total_vnd_lags_2_days div_total_vnd_lags_3_days div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_6_days div_total_bonus_ratio_lags_7_days it_event_count_ma_3_days it_event_count_ma_7_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days it_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days it_total_executed_vol_ma_3_days it_total_executed_vol_ma_7_days it_total_executed_vol_lags_1_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_3_days it_total_executed_vol_lags_4_days it_total_executed_vol_lags_5_days it_total_executed_vol_lags_6_days it_total_executed_vol_lags_7_days meeting_event_count_ma_3_days meeting_event_count_ma_7_days meeting_event_count_lags_1_days meeting_event_count_lags_2_days meeting_event_count_lags_3_days meeting_event_count_lags_4_days meeting_event_count_lags_5_days meeting_event_count_lags_6_days meeting_event_count_lags_7_days predict_value_ma_3_days predict_value_ma_7_days predict_value_lags_1_days predict_value_lags_2_days predict_value_lags_3_days predict_value_lags_4_days predict_value_lags_5_days predict_value_lags_6_days predict_value_lags_7_days
Date

Xây dựng mô hình¶

In [28]:
# Hàm đánh giá mô hình
def evaluate_model(y_true, y_pred, task_type='regression'):
    """
    Đánh giá mô hình cho classification hoặc regression.

    Với classification: tính Accuracy, Precision, Recall, F1-Score và hiển thị Confusion Matrix.
    Với regression: tính MSE, MAE, RMSE và R2 Score.
    """
    # Loại bỏ các giá trị NaN, inf
    # valid_mask = np.isfinite(y_true) & np.isfinite(y_pred)
    # y_true = y_true[valid_mask]
    # y_pred = y_pred[valid_mask]
    if task_type == 'classification':
        y_pred_label = (y_pred > 0.5).astype(int)
        acc = accuracy_score(y_true, y_pred_label)
        prec = precision_score(y_true, y_pred_label)
        rec = recall_score(y_true, y_pred_label)
        f1 = f1_score(y_true, y_pred_label)
        roc_auc = roc_auc_score(y_true, y_pred)
        cm = confusion_matrix(y_true, y_pred_label)
        report = classification_report(y_true, y_pred_label)
        print("Classification Metrics:")
        print(f"  Accuracy: {acc:.4f}")
        print(f"  Precision: {prec:.4f}")
        print(f"  Recall: {rec:.4f}")
        print(f"  F1-Score: {f1:.4f}")
        print(f"  ROC_AUC: {roc_auc:.4f}")
        print("Confusion Matrix:")
        print(cm)
        print("Classification Report:")
        print(report)
        return {
            'Accuracy':acc,
            'Precision':prec,
            'Recall':rec,
            'f1_score':f1,
            'roc_auc':roc_auc
        }
    elif task_type == 'regression':
        mse = mean_squared_error(y_true, y_pred)
        mae = mean_absolute_error(y_true, y_pred)
        rmse = np.sqrt(mse)
        r2 = r2_score(y_true, y_pred)
        print("Regression Metrics:")
        print(f"  MSE: {mse:.4f}")
        print(f"  MAE: {mae:.4f}")
        print(f"  RMSE: {rmse:.4f}")
        print(f"  R2 Score: {r2:.4f}")
        return {
            'mse':mse,
            'mae':mae,
            'rmse':rmse,
            'r2_score':r2
        }
    else:
        raise ValueError("task_type phải là 'regression' hoặc 'classification'")
        return None
In [29]:
# Hàm xây dựng mô hình LSTM
def build_lstm_model(
    input_shape,
    task_type='regression',
    lstm_units=[64, 32],
    dropout_rates=[0.2, 0.2],
    bidirectional=False,
    use_batch_norm=False,
    dense_units=[16],
    dense_dropout_rates=[0.1],
    optimizer='adam',
    learning_rate=1e-5,
    **kwargs
):
    """
    Xây dựng mô hình LSTM phức tạp với các tiện ích sau:
      - Nhiều lớp LSTM (tùy chọn Bidirectional)
      - BatchNormalization
      - Phần đầu Fully-connected (Dense layers)

    Tham số:
      input_shape: tuple, (timesteps, features)
      task_type: 'regression' hoặc 'classification'
      lstm_units: list int, số lượng units từng lớp LSTM
      dropout_rates: list float, tỉ lệ dropout sau mỗi lớp LSTM
      bidirectional: bool, sử dụng LSTM hai chiều hay không
      use_batch_norm: bool, thêm BatchNormalization sau mỗi LSTM
      dense_units: list int, số lượng units cho các lớp Dense
      dense_dropout_rates: list float, dropout cho các lớp Dense
      optimizer: 'adam' hoặc 'rmsprop' hoặc instance optimizer
      learning_rate: float, learning rate khởi tạo
      **kwargs: các tham số bổ sung (nếu có)

    Trả về:
      model: Keras Model đã compile sẵn
    """
    # Lớp đầu vào
    inputs = Input(shape=input_shape)
    x = inputs

    # Xếp chồng các lớp LSTM
    for idx, units in enumerate(lstm_units):
        return_sequences = idx < len(lstm_units) - 1
        lstm_layer = LSTM(units, return_sequences=return_sequences)
        if bidirectional:
            x = Bidirectional(lstm_layer)(x)
        else:
            x = lstm_layer(x)

        x = Dropout(dropout_rates[idx])(x)
        if use_batch_norm:
            x = BatchNormalization()(x)

    # Phần đầu Fully-connected
    for idx, units in enumerate(dense_units):
        x = Dense(units, activation='relu')(x)
        if dense_dropout_rates and idx < len(dense_dropout_rates):
            x = Dropout(dense_dropout_rates[idx])(x)

    # Lớp đầu ra
    if task_type == 'classification':
        activation = 'sigmoid'
        loss = 'binary_crossentropy'
        metrics = ['accuracy']
        outputs = Dense(1, activation=activation)(x)
    elif task_type == 'regression':
        activation = 'linear'
        loss = 'mse'
        metrics = ['mae']
        outputs = Dense(1, activation=activation)(x)
    else:
        raise ValueError("task_type phải là 'regression' hoặc 'classification'")

    model = Model(inputs, outputs)

    # Chọn optimizer
    if isinstance(optimizer, str):
        if optimizer.lower() == 'adam':
            opt = Adam(learning_rate=learning_rate)
        elif optimizer.lower() == 'rmsprop':
            opt = RMSprop(learning_rate=learning_rate)
        else:
            raise ValueError(f"Chưa hỗ trợ optimizer: {optimizer}")
    else:
        opt = optimizer

    model.compile(optimizer=opt, loss=loss, metrics=metrics)
    return model

def fine_tune_lstm_model(
    model,
    X_train, y_train,
    X_val=None, y_val=None,
    epochs=1000,
    batch_size=32,
    model_dir='models',
    checkpoint_name='best_model.keras',
    early_stop_patience=15,
    reduce_lr_patience=3,
    tensorboard_logdir='logs',
    verbose=1
):
    """
    Fine-tune mô hình với các callbacks:
      - Dừng sớm (EarlyStopping)
      - Lưu mô hình tốt nhất (ModelCheckpoint)
      - Giảm learning rate khi không cải thiện (ReduceLROnPlateau)
      - Ghi log cho TensorBoard (TensorBoard)

    Trả về:
      history: Keras History object chứa lịch sử huấn luyện
    """
    # Tạo thư mục lưu mô hình và logs
    os.makedirs(model_dir, exist_ok=True)
    os.makedirs(tensorboard_logdir, exist_ok=True)

    callbacks = []
    # Dừng sớm
    callbacks.append(
        EarlyStopping(
            monitor='val_loss' if X_val is not None else 'loss',
            patience=early_stop_patience,
            restore_best_weights=True)
    )
    # Lưu mô hình tốt nhất
    checkpoint_path = os.path.join(model_dir, checkpoint_name)
    callbacks.append(
        ModelCheckpoint(
            filepath=checkpoint_path,
            monitor='val_loss' if X_val is not None else 'loss',
            save_best_only=True)
    )
    # Giảm learning rate khi plateau
    callbacks.append(
        ReduceLROnPlateau(
            monitor='val_loss' if X_val is not None else 'loss',
            factor=0.5,
            patience=reduce_lr_patience)
    )
    # Ghi log cho TensorBoard
    callbacks.append(
        TensorBoard(log_dir=tensorboard_logdir)
    )

    # Huấn luyện mô hình
    if X_val is not None and y_val is not None:
        history = model.fit(
            X_train, y_train,
            validation_data=(X_val, y_val),
            epochs=epochs,
            batch_size=batch_size,
            callbacks=callbacks,
            verbose=verbose
        )
    else:
        history = model.fit(
            X_train, y_train,
            epochs=epochs,
            batch_size=batch_size,
            callbacks=callbacks,
            verbose=verbose
        )

    return history
In [30]:
def try_scalers(X, scalers):
    best = {'scaler': None, 'score': float('inf'), 'X_scaled': None}
    for scaler in scalers:
        try:
            Xs = scaler.fit_transform(X)
            score = ((Xs - Xs.mean())**2).mean()
            if score < best['score']:
                best.update({'scaler': scaler, 'score': score, 'X_scaled': Xs})
        except Exception:
            continue
    return best['scaler'], best['X_scaled']

def run_model_pipeline(features, task, model_type, build_lstm_model, fine_tune_lstm_model, evaluate_model,
                        test_size=0.3, random_state=42, return_importance=False):
    X = features.drop(columns='Target')
    y = features['Target']
    split_idx = int((1 - test_size) * len(features))
    X_train, X_val = X.iloc[:split_idx].values, X.iloc[split_idx:].values
    y_train, y_val = y.iloc[:split_idx].values, y.iloc[split_idx:].values

    scalers = [
        RobustScaler(), MinMaxScaler(), StandardScaler(), MaxAbsScaler(),
        QuantileTransformer(output_distribution='normal'), PowerTransformer(method='yeo-johnson')
    ]
    x_scaler, X_train_scaled = try_scalers(X_train, scalers)
    X_val_scaled = x_scaler.transform(X_val)

    y_scaler = None
    if task == 'regression':
        y_scalers = [MinMaxScaler(), StandardScaler(), RobustScaler()]
        y_scaler, y_train_scaled = try_scalers(y_train.reshape(-1,1), y_scalers)
        y_train_scaled = y_train_scaled.ravel()
        y_val_scaled = y_scaler.transform(y_val.reshape(-1,1)).ravel()
    else:
        y_train_scaled, y_val_scaled = y_train, y_val
        y_scalers = None

    if model_type == 'lstm':
        X_train_in = X_train_scaled.reshape((len(X_train_scaled), 1, X_train_scaled.shape[1]))
        X_val_in = X_val_scaled.reshape((len(X_val_scaled), 1, X_val_scaled.shape[1]))
        model = build_lstm_model(input_shape=(1, X_train_scaled.shape[1]), task_type=task)
        fine_tune_lstm_model(model, X_train_in, y_train_scaled, X_val_in, y_val_scaled)
        y_pred_raw = model.predict(X_val_in).ravel()
        importance_df = None
    else:
        if task == 'classification':
            if model_type == 'rf':
                base = RandomForestClassifier(random_state=random_state)
                params = {'n_estimators': randint(50,200), 'max_depth': randint(3,10)}
            elif model_type == 'lgb':
                base = lgb.LGBMClassifier(random_state=random_state)
                params = {'n_estimators': randint(50,200), 'num_leaves': randint(20,100)}
            else:
                base = xgb.XGBClassifier(use_label_encoder=False, eval_metric='logloss', random_state=random_state)
                params = {'n_estimators': randint(50,200), 'max_depth': randint(3,10)}
        else:
            if model_type == 'rf':
                base = RandomForestRegressor(random_state=random_state)
                params = {'n_estimators': randint(50,200), 'max_depth': randint(3,10)}
            elif model_type == 'lgb':
                base = lgb.LGBMRegressor(random_state=random_state)
                params = {'n_estimators': randint(50,200), 'num_leaves': randint(20,100)}
            else:
                base = xgb.XGBRegressor(random_state=random_state)
                params = {'n_estimators': randint(50,200), 'max_depth': randint(3,10)}

        search = RandomizedSearchCV(base, param_distributions=params, n_iter=20, cv=3, random_state=random_state)
        search.fit(X_train_scaled, y_train_scaled)
        model = search.best_estimator_
        y_pred_raw = model.predict(X_val_scaled)

        importance_df = None
        if return_importance and hasattr(model, 'feature_importances_'):
            importance_df = pd.DataFrame({
                'feature': X.columns,
                'importance': model.feature_importances_
            }).sort_values(by='importance', ascending=False)

    if task == 'regression' and y_scaler:
        y_pred = y_scaler.inverse_transform(y_pred_raw.reshape(-1,1)).ravel()
        y_true = y_val
    else:
        y_pred = y_pred_raw
        y_true = y_val

    metrics = evaluate_model(y_true, y_pred, task_type=task)
    return model, x_scaler, y_scaler, y_pred, metrics, importance_df

def permutation_importance_lstm(features, task, build_lstm_model, fine_tune_lstm_model,
                                x_scaler, y_scaler=None, test_size=0.3, random_state=42, n_repeats=5):
    from copy import deepcopy

    # Tách dữ liệu
    X = features.drop(columns='Target')
    y = features['Target']
    feature_names = X.columns.tolist()

    split_idx = int((1 - test_size) * len(features))
    X_train, X_val = X.iloc[:split_idx].values, X.iloc[split_idx:].values
    y_train, y_val = y.iloc[:split_idx].values, y.iloc[split_idx:].values

    # Scale dữ liệu
    X_train_scaled = x_scaler.transform(X_train)
    X_val_scaled = x_scaler.transform(X_val)

    if task == 'regression':
        if y_scaler is None:
            raise ValueError("Với bài toán regression, cần cung cấp y_scaler.")
        y_train_scaled = y_scaler.transform(y_train.reshape(-1, 1)).ravel()
        y_val_scaled = y_scaler.transform(y_val.reshape(-1, 1)).ravel()
    else:
        y_train_scaled = y_train
        y_val_scaled = y_val

    # Reshape cho LSTM
    X_train_lstm = X_train_scaled.reshape((X_train_scaled.shape[0], 1, X_train_scaled.shape[1]))
    X_val_lstm = X_val_scaled.reshape((X_val_scaled.shape[0], 1, X_val_scaled.shape[1]))

    # Huấn luyện mô hình
    model = build_lstm_model(input_shape=(1, X_train_scaled.shape[1]), task_type=task)
    fine_tune_lstm_model(model, X_train_lstm, y_train_scaled, X_val_lstm, y_val_scaled)

    # Dự đoán gốc
    base_preds = model.predict(X_val_lstm).ravel()
    if task == 'regression':
        base_score = mean_squared_error(y_val_scaled, base_preds)
    else:
        base_preds_label = (base_preds > 0.5).astype(int)
        base_score = f1_score(y_val_scaled, base_preds_label)

    # Tính permutation importance
    importances = []
    for i in range(X_val_lstm.shape[2]):
        deltas = []
        for _ in range(n_repeats):
            X_val_perm = deepcopy(X_val_lstm)
            np.random.shuffle(X_val_perm[:, 0, i])
            preds = model.predict(X_val_perm).ravel()
            if task == 'regression':
                score = mean_squared_error(y_val_scaled, preds)
                delta = score - base_score
            else:
                preds_label = (preds > 0.5).astype(int)
                score = f1_score(y_val_scaled, preds_label)
                delta = base_score - score
            deltas.append(delta)
        importances.append(np.mean(deltas))

    importance_df = pd.DataFrame({
        'feature': feature_names,
        'importance': importances
    }).sort_values(by='importance', ascending=False)

    return importance_df.reset_index(drop=True)

def run_all_models(features, task, build_lstm_model, fine_tune_lstm_model, evaluate_model,
                   ticker=None, test_size=0.3, random_state=42):
    model_types = ['lstm', 'rf', 'lgb', 'xgb']
    best_result = None
    best_score = None
    best_type = None
    best_importance = None

    for mt in model_types:
        res = run_model_pipeline(features, task, mt, build_lstm_model, fine_tune_lstm_model, evaluate_model,
                                 test_size=test_size, random_state=random_state, return_importance=True)
        metrics = res[4]
        score = metrics['f1_score'] if task == 'classification' else -metrics['rmse']

        if mt == 'lstm':
            importance = permutation_importance_lstm(features, task, build_lstm_model, fine_tune_lstm_model, res[1], res[2])
        else:
            importance = res[5]

        if best_score is None or score > best_score:
            best_score = score
            best_result = res
            best_type = mt
            best_importance = importance
    return best_result[0], best_result[1], best_result[2], best_result[3], best_result[4], best_importance
In [31]:
def create_target(df, task):
    result = df.copy()
    if 'Target' in result.columns:
        result = result.drop(columns='Target')
    if task == 'classification':
        result['Target'] = (result['Close'].shift(1) < result['Close']).astype(int)
        result = result.drop(columns='Close')
        result = result.dropna()
        return result
    elif task == 'regression':
        result = result.rename(columns={'Close': 'Target'})
        return result

    else:
        pass
In [32]:
classifier_cmg = create_target(merge_cmg,'classification')
regressor_cmg = create_target(merge_cmg,'regression')
classifier_fpt = create_target(merge_fpt, 'classification')
regressor_fpt = create_target(merge_fpt, 'regression')
In [33]:
model_cls_cmg, x_scaler_cls_cmg, y_scaler_cls_cmg, prob_pred_cls_cmg, metrics_cls_cmg, importance_cls_cmg = run_all_models(
    classifier_cmg,
    'classification',
    build_lstm_model=build_lstm_model,
    fine_tune_lstm_model=fine_tune_lstm_model,
    evaluate_model=evaluate_model,
    ticker='CMG'
)

Epoch 1/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 4s 88ms/step - accuracy: 0.5327 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6928 - learning_rate: 1.0000e-05
Epoch 2/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5357 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6927 - learning_rate: 1.0000e-05
Epoch 3/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5608 - loss: 0.6920 - val_accuracy: 0.5379 - val_loss: 0.6927 - learning_rate: 1.0000e-05
Epoch 4/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5071 - loss: 0.6921 - val_accuracy: 0.5379 - val_loss: 0.6927 - learning_rate: 1.0000e-05
Epoch 5/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5838 - loss: 0.6896 - val_accuracy: 0.5379 - val_loss: 0.6927 - learning_rate: 5.0000e-06
Epoch 6/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5781 - loss: 0.6899 - val_accuracy: 0.5379 - val_loss: 0.6927 - learning_rate: 5.0000e-06
Epoch 7/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5777 - loss: 0.6906 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 5.0000e-06
Epoch 8/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5650 - loss: 0.6905 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 5.0000e-06
Epoch 9/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5733 - loss: 0.6908 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 5.0000e-06
Epoch 10/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5843 - loss: 0.6912 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.5000e-06
Epoch 11/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5292 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.5000e-06
Epoch 12/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5497 - loss: 0.6911 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.5000e-06
Epoch 13/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - accuracy: 0.5509 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2500e-06
Epoch 14/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5509 - loss: 0.6902 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2500e-06
Epoch 15/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5674 - loss: 0.6909 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2500e-06
Epoch 16/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5650 - loss: 0.6905 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.2500e-07
Epoch 17/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5267 - loss: 0.6928 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.2500e-07
Epoch 18/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5741 - loss: 0.6885 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.2500e-07
Epoch 19/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5454 - loss: 0.6903 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.1250e-07
Epoch 20/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5631 - loss: 0.6901 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.1250e-07
Epoch 21/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5431 - loss: 0.6903 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.1250e-07
Epoch 22/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5468 - loss: 0.6919 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.5625e-07
Epoch 23/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5591 - loss: 0.6917 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.5625e-07
Epoch 24/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - accuracy: 0.5667 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.5625e-07
Epoch 25/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.5763 - loss: 0.6900 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 7.8125e-08
Epoch 26/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5632 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 7.8125e-08
Epoch 27/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.5352 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 7.8125e-08
Epoch 28/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5628 - loss: 0.6912 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.9062e-08
Epoch 29/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5691 - loss: 0.6896 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.9062e-08
Epoch 30/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5895 - loss: 0.6894 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.9062e-08
Epoch 31/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.5545 - loss: 0.6916 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.9531e-08
Epoch 32/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5592 - loss: 0.6904 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.9531e-08
Epoch 33/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5691 - loss: 0.6906 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.9531e-08
Epoch 34/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.6085 - loss: 0.6891 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 9.7656e-09
Epoch 35/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5568 - loss: 0.6902 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 9.7656e-09
Epoch 36/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5535 - loss: 0.6897 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 9.7656e-09
Epoch 37/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 39ms/step - accuracy: 0.5801 - loss: 0.6911 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 4.8828e-09
Epoch 38/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5643 - loss: 0.6908 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 4.8828e-09
Epoch 39/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - accuracy: 0.5259 - loss: 0.6921 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 4.8828e-09
Epoch 40/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5813 - loss: 0.6910 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.4414e-09
Epoch 41/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5875 - loss: 0.6903 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.4414e-09
Epoch 42/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5429 - loss: 0.6940 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 2.4414e-09
Epoch 43/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5780 - loss: 0.6899 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2207e-09
Epoch 44/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5977 - loss: 0.6887 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2207e-09
Epoch 45/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5590 - loss: 0.6912 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.2207e-09
Epoch 46/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5107 - loss: 0.6942 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.1035e-10
Epoch 47/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.6069 - loss: 0.6900 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.1035e-10
Epoch 48/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5874 - loss: 0.6901 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 6.1035e-10
Epoch 49/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5387 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.0518e-10
Epoch 50/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - accuracy: 0.5089 - loss: 0.6936 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.0518e-10
Epoch 51/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step - accuracy: 0.5386 - loss: 0.6904 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 3.0518e-10
Epoch 52/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5874 - loss: 0.6892 - val_accuracy: 0.5379 - val_loss: 0.6926 - learning_rate: 1.5259e-10
5/5 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step
Classification Metrics:
  Accuracy: 0.5379
  Precision: 0.0000
  Recall: 0.0000
  F1-Score: 0.0000
  ROC_AUC: 0.4170
Confusion Matrix:
[[78  0]
 [67  0]]
Classification Report:
              precision    recall  f1-score   support

           0       0.54      1.00      0.70        78
           1       0.00      0.00      0.00        67

    accuracy                           0.54       145
   macro avg       0.27      0.50      0.35       145
weighted avg       0.29      0.54      0.38       145

Epoch 1/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 10s 103ms/step - accuracy: 0.5004 - loss: 0.6929 - val_accuracy: 0.5379 - val_loss: 0.6933 - learning_rate: 1.0000e-05
Epoch 2/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5373 - loss: 0.6928 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.0000e-05
Epoch 3/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5065 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.0000e-05
Epoch 4/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5865 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.0000e-05
Epoch 5/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5710 - loss: 0.6916 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 5.0000e-06
Epoch 6/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5796 - loss: 0.6916 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 5.0000e-06
Epoch 7/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.5377 - loss: 0.6920 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 5.0000e-06
Epoch 8/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - accuracy: 0.5783 - loss: 0.6907 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 2.5000e-06
Epoch 9/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - accuracy: 0.5570 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 2.5000e-06
Epoch 10/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - accuracy: 0.5348 - loss: 0.6930 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 2.5000e-06
Epoch 11/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - accuracy: 0.5575 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.2500e-06
Epoch 12/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - accuracy: 0.5894 - loss: 0.6903 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.2500e-06
Epoch 13/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - accuracy: 0.5348 - loss: 0.6931 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.2500e-06
Epoch 14/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.5605 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6932 - learning_rate: 1.2500e-06
Epoch 15/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5611 - loss: 0.6911 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.2500e-06
Epoch 16/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5352 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.2500e-07
Epoch 17/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - accuracy: 0.5548 - loss: 0.6909 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.2500e-07
Epoch 18/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - accuracy: 0.5229 - loss: 0.6922 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.2500e-07
Epoch 19/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - accuracy: 0.5485 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.1250e-07
Epoch 20/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - accuracy: 0.5778 - loss: 0.6919 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.1250e-07
Epoch 21/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5337 - loss: 0.6922 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.1250e-07
Epoch 22/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - accuracy: 0.5928 - loss: 0.6910 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.5625e-07
Epoch 23/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5462 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.5625e-07
Epoch 24/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5252 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.5625e-07
Epoch 25/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.5524 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 7.8125e-08
Epoch 26/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5578 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 7.8125e-08
Epoch 27/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5961 - loss: 0.6907 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 7.8125e-08
Epoch 28/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5679 - loss: 0.6917 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.9062e-08
Epoch 29/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5628 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.9062e-08
Epoch 30/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5547 - loss: 0.6922 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.9062e-08
Epoch 31/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - accuracy: 0.5752 - loss: 0.6921 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.9531e-08
Epoch 32/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5151 - loss: 0.6923 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.9531e-08
Epoch 33/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5719 - loss: 0.6916 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.9531e-08
Epoch 34/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5731 - loss: 0.6918 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 9.7656e-09
Epoch 35/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5245 - loss: 0.6926 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 9.7656e-09
Epoch 36/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.5797 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 9.7656e-09
Epoch 37/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5551 - loss: 0.6916 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 4.8828e-09
Epoch 38/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5186 - loss: 0.6920 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 4.8828e-09
Epoch 39/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - accuracy: 0.5897 - loss: 0.6908 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 4.8828e-09
Epoch 40/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5783 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 2.4414e-09
Epoch 41/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - accuracy: 0.5745 - loss: 0.6913 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 2.4414e-09
Epoch 42/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - accuracy: 0.5525 - loss: 0.6915 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 2.4414e-09
Epoch 43/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 33ms/step - accuracy: 0.5493 - loss: 0.6920 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.2207e-09
Epoch 44/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5800 - loss: 0.6910 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.2207e-09
Epoch 45/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5650 - loss: 0.6920 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 1.2207e-09
Epoch 46/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5949 - loss: 0.6910 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.1035e-10
Epoch 47/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5222 - loss: 0.6930 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.1035e-10
Epoch 48/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step - accuracy: 0.5454 - loss: 0.6924 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 6.1035e-10
Epoch 49/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5414 - loss: 0.6934 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.0518e-10
Epoch 50/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5834 - loss: 0.6912 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.0518e-10
Epoch 51/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - accuracy: 0.5075 - loss: 0.6914 - val_accuracy: 0.5379 - val_loss: 0.6931 - learning_rate: 3.0518e-10
5/5 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 15ms/step
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5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 15ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
Classification Metrics:
  Accuracy: 1.0000
  Precision: 1.0000
  Recall: 1.0000
  F1-Score: 1.0000
  ROC_AUC: 1.0000
Confusion Matrix:
[[78  0]
 [ 0 67]]
Classification Report:
              precision    recall  f1-score   support

           0       1.00      1.00      1.00        78
           1       1.00      1.00      1.00        67

    accuracy                           1.00       145
   macro avg       1.00      1.00      1.00       145
weighted avg       1.00      1.00      1.00       145

[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001498 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000446 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000495 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000895 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000712 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000493 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000765 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000564 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000457 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000661 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000579 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000461 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000492 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000462 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000424 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000567 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000540 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000571 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000552 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000546 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000536 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000556 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000616 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000917 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000584 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000518 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000590 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000770 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000474 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000672 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000402 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000455 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000543 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000559 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000694 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000800 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000515 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000508 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000529 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000543 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000545 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000537 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000583 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000439 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 98, number of negative: 126
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001976 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2987
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.437500 -> initscore=-0.251314
[LightGBM] [Info] Start training from score -0.251314
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2906
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 97, number of negative: 127
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2806
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.433036 -> initscore=-0.269476
[LightGBM] [Info] Start training from score -0.269476
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 146, number of negative: 190
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001398 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 4228
[LightGBM] [Info] Number of data points in the train set: 336, number of used features: 89
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.434524 -> initscore=-0.263417
[LightGBM] [Info] Start training from score -0.263417
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
Classification Metrics:
  Accuracy: 1.0000
  Precision: 1.0000
  Recall: 1.0000
  F1-Score: 1.0000
  ROC_AUC: 1.0000
Confusion Matrix:
[[78  0]
 [ 0 67]]
Classification Report:
              precision    recall  f1-score   support

           0       1.00      1.00      1.00        78
           1       1.00      1.00      1.00        67

    accuracy                           1.00       145
   macro avg       1.00      1.00      1.00       145
weighted avg       1.00      1.00      1.00       145

Classification Metrics:
  Accuracy: 1.0000
  Precision: 1.0000
  Recall: 1.0000
  F1-Score: 1.0000
  ROC_AUC: 1.0000
Confusion Matrix:
[[78  0]
 [ 0 67]]
Classification Report:
              precision    recall  f1-score   support

           0       1.00      1.00      1.00        78
           1       1.00      1.00      1.00        67

    accuracy                           1.00       145
   macro avg       1.00      1.00      1.00       145
weighted avg       1.00      1.00      1.00       145
In [34]:
model_cls_fpt, x_scaler_cls_fpt, y_scaler_cls_fpt, prob_pred_cls_fpt, metrics_cls_fpt, importance_cls_fpt = run_all_models(
    classifier_fpt,
    'classification',
    build_lstm_model=build_lstm_model,
    fine_tune_lstm_model=fine_tune_lstm_model,
    evaluate_model=evaluate_model,
    ticker='FPT'
)

Epoch 1/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 9s 117ms/step - accuracy: 0.5308 - loss: 0.6928 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.0000e-05
Epoch 2/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.4360 - loss: 0.6949 - val_accuracy: 0.4275 - val_loss: 0.6934 - learning_rate: 1.0000e-05
Epoch 3/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - accuracy: 0.4695 - loss: 0.6936 - val_accuracy: 0.4275 - val_loss: 0.6934 - learning_rate: 1.0000e-05
Epoch 4/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - accuracy: 0.4924 - loss: 0.6935 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.0000e-05
Epoch 5/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - accuracy: 0.5353 - loss: 0.6925 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 5.0000e-06
Epoch 6/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - accuracy: 0.4796 - loss: 0.6930 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 5.0000e-06
Epoch 7/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5121 - loss: 0.6937 - val_accuracy: 0.4275 - val_loss: 0.6934 - learning_rate: 5.0000e-06
Epoch 8/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.4902 - loss: 0.6932 - val_accuracy: 0.4203 - val_loss: 0.6934 - learning_rate: 2.5000e-06
Epoch 9/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - accuracy: 0.5098 - loss: 0.6928 - val_accuracy: 0.4203 - val_loss: 0.6934 - learning_rate: 2.5000e-06
Epoch 10/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.4683 - loss: 0.6934 - val_accuracy: 0.4203 - val_loss: 0.6934 - learning_rate: 2.5000e-06
Epoch 11/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - accuracy: 0.4958 - loss: 0.6932 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2500e-06
Epoch 12/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.5343 - loss: 0.6927 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2500e-06
Epoch 13/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - accuracy: 0.5075 - loss: 0.6925 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2500e-06
Epoch 14/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.4674 - loss: 0.6945 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 15/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - accuracy: 0.4782 - loss: 0.6941 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 16/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 49ms/step - accuracy: 0.4537 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 17/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.4444 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 18/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 46ms/step - accuracy: 0.4397 - loss: 0.6943 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 19/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.4641 - loss: 0.6944 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 20/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - accuracy: 0.5450 - loss: 0.6926 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 21/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - accuracy: 0.5324 - loss: 0.6931 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 22/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - accuracy: 0.4955 - loss: 0.6934 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 23/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - accuracy: 0.4453 - loss: 0.6945 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 24/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.4869 - loss: 0.6930 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 25/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5378 - loss: 0.6929 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 26/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.5244 - loss: 0.6930 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 27/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - accuracy: 0.4734 - loss: 0.6941 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 28/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.4824 - loss: 0.6937 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 29/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5522 - loss: 0.6930 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 30/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.4382 - loss: 0.6946 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 31/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.5185 - loss: 0.6929 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 32/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5263 - loss: 0.6926 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 33/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5176 - loss: 0.6932 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 34/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.4940 - loss: 0.6928 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 35/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - accuracy: 0.4572 - loss: 0.6948 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 36/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.4889 - loss: 0.6938 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 37/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5375 - loss: 0.6921 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 38/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.4669 - loss: 0.6938 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 39/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.4381 - loss: 0.6939 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 40/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.4774 - loss: 0.6935 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 41/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.4658 - loss: 0.6939 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.2207e-09
Epoch 42/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.5073 - loss: 0.6934 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.2207e-09
Epoch 43/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5631 - loss: 0.6922 - val_accuracy: 0.4420 - val_loss: 0.6934 - learning_rate: 1.2207e-09
5/5 ━━━━━━━━━━━━━━━━━━━━ 1s 145ms/step
Classification Metrics:
  Accuracy: 0.4420
  Precision: 0.4731
  Recall: 0.6111
  F1-Score: 0.5333
  ROC_AUC: 0.4078
Confusion Matrix:
[[17 49]
 [28 44]]
Classification Report:
              precision    recall  f1-score   support

           0       0.38      0.26      0.31        66
           1       0.47      0.61      0.53        72

    accuracy                           0.44       138
   macro avg       0.43      0.43      0.42       138
weighted avg       0.43      0.44      0.42       138

Epoch 1/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 10s 168ms/step - accuracy: 0.4824 - loss: 0.6936 - val_accuracy: 0.4203 - val_loss: 0.6935 - learning_rate: 1.0000e-05
Epoch 2/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - accuracy: 0.4498 - loss: 0.6941 - val_accuracy: 0.4130 - val_loss: 0.6935 - learning_rate: 1.0000e-05
Epoch 3/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.5137 - loss: 0.6935 - val_accuracy: 0.4058 - val_loss: 0.6935 - learning_rate: 1.0000e-05
Epoch 4/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5239 - loss: 0.6929 - val_accuracy: 0.4058 - val_loss: 0.6935 - learning_rate: 1.0000e-05
Epoch 5/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - accuracy: 0.4698 - loss: 0.6932 - val_accuracy: 0.4130 - val_loss: 0.6935 - learning_rate: 5.0000e-06
Epoch 6/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.5541 - loss: 0.6926 - val_accuracy: 0.4130 - val_loss: 0.6935 - learning_rate: 5.0000e-06
Epoch 7/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - accuracy: 0.4440 - loss: 0.6944 - val_accuracy: 0.4130 - val_loss: 0.6935 - learning_rate: 5.0000e-06
Epoch 8/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - accuracy: 0.4685 - loss: 0.6939 - val_accuracy: 0.4203 - val_loss: 0.6935 - learning_rate: 2.5000e-06
Epoch 9/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - accuracy: 0.4832 - loss: 0.6941 - val_accuracy: 0.4203 - val_loss: 0.6935 - learning_rate: 2.5000e-06
Epoch 10/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 48ms/step - accuracy: 0.4699 - loss: 0.6937 - val_accuracy: 0.4203 - val_loss: 0.6935 - learning_rate: 2.5000e-06
Epoch 11/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - accuracy: 0.4458 - loss: 0.6945 - val_accuracy: 0.4203 - val_loss: 0.6935 - learning_rate: 1.2500e-06
Epoch 12/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - accuracy: 0.4330 - loss: 0.6938 - val_accuracy: 0.4275 - val_loss: 0.6935 - learning_rate: 1.2500e-06
Epoch 13/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.4478 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6935 - learning_rate: 1.2500e-06
Epoch 14/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.4684 - loss: 0.6940 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 15/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.4660 - loss: 0.6936 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 16/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - accuracy: 0.4708 - loss: 0.6934 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.2500e-07
Epoch 17/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.4783 - loss: 0.6936 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 18/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - accuracy: 0.4544 - loss: 0.6936 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 19/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5064 - loss: 0.6938 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.1250e-07
Epoch 20/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - accuracy: 0.4496 - loss: 0.6938 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 21/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.4981 - loss: 0.6929 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 22/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - accuracy: 0.5596 - loss: 0.6929 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5625e-07
Epoch 23/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - accuracy: 0.5540 - loss: 0.6928 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 24/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.4607 - loss: 0.6935 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 25/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.4233 - loss: 0.6942 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 7.8125e-08
Epoch 26/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.4537 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 27/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - accuracy: 0.4666 - loss: 0.6937 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 28/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.4766 - loss: 0.6934 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.9062e-08
Epoch 29/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.4233 - loss: 0.6941 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 30/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - accuracy: 0.5346 - loss: 0.6925 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 31/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5194 - loss: 0.6930 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.9531e-08
Epoch 32/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - accuracy: 0.4845 - loss: 0.6933 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 33/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5236 - loss: 0.6938 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 34/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.4871 - loss: 0.6930 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 9.7656e-09
Epoch 35/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - accuracy: 0.4883 - loss: 0.6936 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 36/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - accuracy: 0.4412 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 37/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - accuracy: 0.4141 - loss: 0.6941 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 4.8828e-09
Epoch 38/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - accuracy: 0.4791 - loss: 0.6938 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 39/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - accuracy: 0.4697 - loss: 0.6937 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 40/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - accuracy: 0.5384 - loss: 0.6930 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 2.4414e-09
Epoch 41/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - accuracy: 0.5164 - loss: 0.6933 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2207e-09
Epoch 42/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.4198 - loss: 0.6943 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2207e-09
Epoch 43/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5245 - loss: 0.6933 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.2207e-09
Epoch 44/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.4620 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.1035e-10
Epoch 45/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.4868 - loss: 0.6937 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.1035e-10
Epoch 46/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - accuracy: 0.4464 - loss: 0.6941 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 6.1035e-10
Epoch 47/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - accuracy: 0.5229 - loss: 0.6936 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.0518e-10
Epoch 48/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - accuracy: 0.4795 - loss: 0.6939 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.0518e-10
Epoch 49/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - accuracy: 0.5019 - loss: 0.6935 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 3.0518e-10
Epoch 50/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.5143 - loss: 0.6931 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5259e-10
Epoch 51/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - accuracy: 0.5224 - loss: 0.6934 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5259e-10
Epoch 52/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - accuracy: 0.4828 - loss: 0.6938 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 1.5259e-10
Epoch 53/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - accuracy: 0.4406 - loss: 0.6940 - val_accuracy: 0.4348 - val_loss: 0.6934 - learning_rate: 7.6294e-11
1/5 ━━━━━━━━━━━━━━━━━━━━ 2s 590ms/stepWARNING:tensorflow:5 out of the last 3486 calls to <function TensorFlowTrainer.make_predict_function.<locals>.one_step_on_data_distributed at 0x000001F565BD0040> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
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5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
Classification Metrics:
  Accuracy: 0.9928
  Precision: 1.0000
  Recall: 0.9861
  F1-Score: 0.9930
  ROC_AUC: 0.9931
Confusion Matrix:
[[66  0]
 [ 1 71]]
Classification Report:
              precision    recall  f1-score   support

           0       0.99      1.00      0.99        66
           1       1.00      0.99      0.99        72

    accuracy                           0.99       138
   macro avg       0.99      0.99      0.99       138
weighted avg       0.99      0.99      0.99       138

[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002564 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000623 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000399 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000712 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000874 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000684 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000584 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000780 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000748 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000501 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000634 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000496 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000408 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000799 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000837 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001021 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000522 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000512 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000561 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000506 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000469 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000624 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002554 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000701 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000666 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001197 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000505 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000782 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000713 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000411 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000689 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000651 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000781 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000855 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000734 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000594 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000726 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000693 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000525 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001064 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000558 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000593 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000531 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000465 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000660 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000614 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000580 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000674 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000897 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000687 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2829
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 99
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
[LightGBM] [Info] Number of positive: 111, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2877
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 96
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521127 -> initscore=0.084557
[LightGBM] [Info] Start training from score 0.084557
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Number of positive: 112, number of negative: 102
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000443 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2809
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 83
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.523364 -> initscore=0.093526
[LightGBM] [Info] Start training from score 0.093526
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Info] Number of positive: 167, number of negative: 153
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001424 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 4243
[LightGBM] [Info] Number of data points in the train set: 320, number of used features: 100
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.521875 -> initscore=0.087556
[LightGBM] [Info] Start training from score 0.087556
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Classification Metrics:
  Accuracy: 1.0000
  Precision: 1.0000
  Recall: 1.0000
  F1-Score: 1.0000
  ROC_AUC: 1.0000
Confusion Matrix:
[[66  0]
 [ 0 72]]
Classification Report:
              precision    recall  f1-score   support

           0       1.00      1.00      1.00        66
           1       1.00      1.00      1.00        72

    accuracy                           1.00       138
   macro avg       1.00      1.00      1.00       138
weighted avg       1.00      1.00      1.00       138

Classification Metrics:
  Accuracy: 0.9565
  Precision: 1.0000
  Recall: 0.9167
  F1-Score: 0.9565
  ROC_AUC: 0.9583
Confusion Matrix:
[[66  0]
 [ 6 66]]
Classification Report:
              precision    recall  f1-score   support

           0       0.92      1.00      0.96        66
           1       1.00      0.92      0.96        72

    accuracy                           0.96       138
   macro avg       0.96      0.96      0.96       138
weighted avg       0.96      0.96      0.96       138
In [35]:
# Chia tập mới
split_idx = int(0.7 * classifier_cmg.shape[0])
X_new = classifier_cmg.iloc[:split_idx].drop(columns='Target')
X_new_scaled = x_scaler_cls_cmg.transform(X_new)
# Dự đoán xác suất
if hasattr(model_cls_cmg, 'predict_proba'):
    # Tree-based model
    probs_new = model_cls_cmg.predict_proba(X_new_scaled)[:, 1]  # Xác suất class 1
else:
    # LSTM
    X_new_lstm = X_new_scaled.reshape((X_new_scaled.shape[0], 1, X_new_scaled.shape[1]))
    probs_new = model_cls_cmg.predict(X_new_lstm).ravel()
# Nối xác suất vào tập regression
regressor_cmg['Prob_up'] = np.concatenate((probs_new, prob_pred_cls_cmg))
In [36]:
# Chia tập mới
split_idx = int(0.7 * classifier_fpt.shape[0])
X_new = classifier_fpt.iloc[:split_idx].drop(columns='Target')
X_new_scaled = x_scaler_cls_fpt.transform(X_new)
# Dự đoán xác suất
if hasattr(model_cls_fpt, 'predict_proba'):
    # Tree-based model
    probs_new = model_cls_fpt.predict_proba(X_new_scaled)[:, 1]  # Xác suất class 1
else:
    # LSTM
    X_new_lstm = X_new_scaled.reshape((X_new_scaled.shape[0], 1, X_new_scaled.shape[1]))
    probs_new = model_cls_fpt.predict(X_new_lstm).ravel()
# Nối xác suất vào tập regression
regressor_fpt['Prob_up'] = np.concatenate((probs_new, prob_pred_cls_fpt))
In [37]:
model_re_cmg, x_scaler_re_cmg, y_scaler_re_cmg, prob_pred_re_cmg, metrics_re_cmg, importance_re_cmg = run_all_models(
    regressor_cmg,
    'regression',
    build_lstm_model=build_lstm_model,
    fine_tune_lstm_model=fine_tune_lstm_model,
    evaluate_model=evaluate_model,
    ticker='CMG'
)

Epoch 1/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 10s 192ms/step - loss: 0.1590 - mae: 0.3071 - val_loss: 0.3128 - val_mae: 0.5558 - learning_rate: 1.0000e-05
Epoch 2/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 39ms/step - loss: 0.1617 - mae: 0.3061 - val_loss: 0.3110 - val_mae: 0.5542 - learning_rate: 1.0000e-05
Epoch 3/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1426 - mae: 0.2905 - val_loss: 0.3092 - val_mae: 0.5526 - learning_rate: 1.0000e-05
Epoch 4/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1633 - mae: 0.3127 - val_loss: 0.3075 - val_mae: 0.5510 - learning_rate: 1.0000e-05
Epoch 5/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.1581 - mae: 0.3028 - val_loss: 0.3058 - val_mae: 0.5495 - learning_rate: 1.0000e-05
Epoch 6/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.1529 - mae: 0.2987 - val_loss: 0.3041 - val_mae: 0.5479 - learning_rate: 1.0000e-05
Epoch 7/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1471 - mae: 0.2857 - val_loss: 0.3025 - val_mae: 0.5465 - learning_rate: 1.0000e-05
Epoch 8/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1447 - mae: 0.2875 - val_loss: 0.3008 - val_mae: 0.5450 - learning_rate: 1.0000e-05
Epoch 9/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1599 - mae: 0.3027 - val_loss: 0.2993 - val_mae: 0.5436 - learning_rate: 1.0000e-05
Epoch 10/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1448 - mae: 0.2848 - val_loss: 0.2978 - val_mae: 0.5422 - learning_rate: 1.0000e-05
Epoch 11/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1495 - mae: 0.2908 - val_loss: 0.2963 - val_mae: 0.5408 - learning_rate: 1.0000e-05
Epoch 12/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.1477 - mae: 0.2892 - val_loss: 0.2949 - val_mae: 0.5395 - learning_rate: 1.0000e-05
Epoch 13/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1578 - mae: 0.2942 - val_loss: 0.2935 - val_mae: 0.5382 - learning_rate: 1.0000e-05
Epoch 14/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.1314 - mae: 0.2700 - val_loss: 0.2921 - val_mae: 0.5369 - learning_rate: 1.0000e-05
Epoch 15/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 38ms/step - loss: 0.1286 - mae: 0.2656 - val_loss: 0.2907 - val_mae: 0.5356 - learning_rate: 1.0000e-05
Epoch 16/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1479 - mae: 0.2852 - val_loss: 0.2892 - val_mae: 0.5343 - learning_rate: 1.0000e-05
Epoch 17/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1388 - mae: 0.2690 - val_loss: 0.2879 - val_mae: 0.5330 - learning_rate: 1.0000e-05
Epoch 18/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.1323 - mae: 0.2671 - val_loss: 0.2865 - val_mae: 0.5318 - learning_rate: 1.0000e-05
Epoch 19/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1271 - mae: 0.2591 - val_loss: 0.2852 - val_mae: 0.5305 - learning_rate: 1.0000e-05
Epoch 20/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1284 - mae: 0.2589 - val_loss: 0.2839 - val_mae: 0.5293 - learning_rate: 1.0000e-05
Epoch 21/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.1320 - mae: 0.2611 - val_loss: 0.2826 - val_mae: 0.5281 - learning_rate: 1.0000e-05
Epoch 22/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1480 - mae: 0.2807 - val_loss: 0.2814 - val_mae: 0.5269 - learning_rate: 1.0000e-05
Epoch 23/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1572 - mae: 0.2859 - val_loss: 0.2801 - val_mae: 0.5257 - learning_rate: 1.0000e-05
Epoch 24/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1202 - mae: 0.2482 - val_loss: 0.2790 - val_mae: 0.5247 - learning_rate: 1.0000e-05
Epoch 25/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.1043 - mae: 0.2358 - val_loss: 0.2778 - val_mae: 0.5236 - learning_rate: 1.0000e-05
Epoch 26/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1276 - mae: 0.2617 - val_loss: 0.2766 - val_mae: 0.5224 - learning_rate: 1.0000e-05
Epoch 27/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.1424 - mae: 0.2739 - val_loss: 0.2755 - val_mae: 0.5213 - learning_rate: 1.0000e-05
Epoch 28/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1309 - mae: 0.2585 - val_loss: 0.2743 - val_mae: 0.5203 - learning_rate: 1.0000e-05
Epoch 29/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.1338 - mae: 0.2628 - val_loss: 0.2732 - val_mae: 0.5192 - learning_rate: 1.0000e-05
Epoch 30/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.1158 - mae: 0.2440 - val_loss: 0.2721 - val_mae: 0.5182 - learning_rate: 1.0000e-05
Epoch 31/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.1233 - mae: 0.2537 - val_loss: 0.2710 - val_mae: 0.5171 - learning_rate: 1.0000e-05
Epoch 32/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1380 - mae: 0.2640 - val_loss: 0.2699 - val_mae: 0.5160 - learning_rate: 1.0000e-05
Epoch 33/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.1395 - mae: 0.2652 - val_loss: 0.2688 - val_mae: 0.5149 - learning_rate: 1.0000e-05
Epoch 34/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1360 - mae: 0.2622 - val_loss: 0.2677 - val_mae: 0.5139 - learning_rate: 1.0000e-05
Epoch 35/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.1209 - mae: 0.2472 - val_loss: 0.2667 - val_mae: 0.5129 - learning_rate: 1.0000e-05
Epoch 36/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.1320 - mae: 0.2570 - val_loss: 0.2656 - val_mae: 0.5119 - learning_rate: 1.0000e-05
Epoch 37/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1366 - mae: 0.2633 - val_loss: 0.2646 - val_mae: 0.5109 - learning_rate: 1.0000e-05
Epoch 38/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1432 - mae: 0.2680 - val_loss: 0.2637 - val_mae: 0.5100 - learning_rate: 1.0000e-05
Epoch 39/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.1191 - mae: 0.2393 - val_loss: 0.2627 - val_mae: 0.5090 - learning_rate: 1.0000e-05
Epoch 40/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.1295 - mae: 0.2527 - val_loss: 0.2617 - val_mae: 0.5080 - learning_rate: 1.0000e-05
Epoch 41/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.1421 - mae: 0.2671 - val_loss: 0.2606 - val_mae: 0.5070 - learning_rate: 1.0000e-05
Epoch 42/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1127 - mae: 0.2335 - val_loss: 0.2596 - val_mae: 0.5060 - learning_rate: 1.0000e-05
Epoch 43/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.1209 - mae: 0.2426 - val_loss: 0.2586 - val_mae: 0.5050 - learning_rate: 1.0000e-05
Epoch 44/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.1255 - mae: 0.2503 - val_loss: 0.2576 - val_mae: 0.5040 - learning_rate: 1.0000e-05
Epoch 45/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.1221 - mae: 0.2509 - val_loss: 0.2565 - val_mae: 0.5030 - learning_rate: 1.0000e-05
Epoch 46/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1349 - mae: 0.2564 - val_loss: 0.2555 - val_mae: 0.5020 - learning_rate: 1.0000e-05
Epoch 47/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.1274 - mae: 0.2469 - val_loss: 0.2544 - val_mae: 0.5009 - learning_rate: 1.0000e-05
Epoch 48/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1080 - mae: 0.2226 - val_loss: 0.2534 - val_mae: 0.4999 - learning_rate: 1.0000e-05
Epoch 49/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.1207 - mae: 0.2455 - val_loss: 0.2524 - val_mae: 0.4989 - learning_rate: 1.0000e-05
Epoch 50/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.1340 - mae: 0.2574 - val_loss: 0.2514 - val_mae: 0.4979 - learning_rate: 1.0000e-05
Epoch 51/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1274 - mae: 0.2506 - val_loss: 0.2503 - val_mae: 0.4968 - learning_rate: 1.0000e-05
Epoch 52/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1102 - mae: 0.2297 - val_loss: 0.2494 - val_mae: 0.4959 - learning_rate: 1.0000e-05
Epoch 53/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1270 - mae: 0.2476 - val_loss: 0.2483 - val_mae: 0.4948 - learning_rate: 1.0000e-05
Epoch 54/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1212 - mae: 0.2421 - val_loss: 0.2473 - val_mae: 0.4938 - learning_rate: 1.0000e-05
Epoch 55/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1447 - mae: 0.2705 - val_loss: 0.2463 - val_mae: 0.4928 - learning_rate: 1.0000e-05
Epoch 56/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1068 - mae: 0.2294 - val_loss: 0.2453 - val_mae: 0.4918 - learning_rate: 1.0000e-05
Epoch 57/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1115 - mae: 0.2288 - val_loss: 0.2443 - val_mae: 0.4908 - learning_rate: 1.0000e-05
Epoch 58/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1255 - mae: 0.2433 - val_loss: 0.2433 - val_mae: 0.4898 - learning_rate: 1.0000e-05
Epoch 59/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1235 - mae: 0.2466 - val_loss: 0.2423 - val_mae: 0.4888 - learning_rate: 1.0000e-05
Epoch 60/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.1270 - mae: 0.2446 - val_loss: 0.2413 - val_mae: 0.4877 - learning_rate: 1.0000e-05
Epoch 61/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.1111 - mae: 0.2288 - val_loss: 0.2403 - val_mae: 0.4867 - learning_rate: 1.0000e-05
Epoch 62/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 36ms/step - loss: 0.1283 - mae: 0.2448 - val_loss: 0.2392 - val_mae: 0.4856 - learning_rate: 1.0000e-05
Epoch 63/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.1008 - mae: 0.2154 - val_loss: 0.2383 - val_mae: 0.4846 - learning_rate: 1.0000e-05
Epoch 64/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1276 - mae: 0.2478 - val_loss: 0.2372 - val_mae: 0.4835 - learning_rate: 1.0000e-05
Epoch 65/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1239 - mae: 0.2397 - val_loss: 0.2361 - val_mae: 0.4824 - learning_rate: 1.0000e-05
Epoch 66/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1074 - mae: 0.2224 - val_loss: 0.2351 - val_mae: 0.4814 - learning_rate: 1.0000e-05
Epoch 67/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1157 - mae: 0.2252 - val_loss: 0.2340 - val_mae: 0.4802 - learning_rate: 1.0000e-05
Epoch 68/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.1106 - mae: 0.2189 - val_loss: 0.2329 - val_mae: 0.4792 - learning_rate: 1.0000e-05
Epoch 69/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1289 - mae: 0.2420 - val_loss: 0.2318 - val_mae: 0.4780 - learning_rate: 1.0000e-05
Epoch 70/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1041 - mae: 0.2186 - val_loss: 0.2307 - val_mae: 0.4769 - learning_rate: 1.0000e-05
Epoch 71/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.1008 - mae: 0.2148 - val_loss: 0.2297 - val_mae: 0.4758 - learning_rate: 1.0000e-05
Epoch 72/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1149 - mae: 0.2307 - val_loss: 0.2286 - val_mae: 0.4746 - learning_rate: 1.0000e-05
Epoch 73/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.1042 - mae: 0.2185 - val_loss: 0.2275 - val_mae: 0.4735 - learning_rate: 1.0000e-05
Epoch 74/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0947 - mae: 0.2075 - val_loss: 0.2264 - val_mae: 0.4724 - learning_rate: 1.0000e-05
Epoch 75/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0989 - mae: 0.2082 - val_loss: 0.2253 - val_mae: 0.4712 - learning_rate: 1.0000e-05
Epoch 76/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.1038 - mae: 0.2173 - val_loss: 0.2241 - val_mae: 0.4699 - learning_rate: 1.0000e-05
Epoch 77/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 44ms/step - loss: 0.1140 - mae: 0.2270 - val_loss: 0.2229 - val_mae: 0.4687 - learning_rate: 1.0000e-05
Epoch 78/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1106 - mae: 0.2170 - val_loss: 0.2218 - val_mae: 0.4675 - learning_rate: 1.0000e-05
Epoch 79/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1157 - mae: 0.2277 - val_loss: 0.2206 - val_mae: 0.4663 - learning_rate: 1.0000e-05
Epoch 80/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1003 - mae: 0.2145 - val_loss: 0.2195 - val_mae: 0.4650 - learning_rate: 1.0000e-05
Epoch 81/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0970 - mae: 0.2102 - val_loss: 0.2183 - val_mae: 0.4638 - learning_rate: 1.0000e-05
Epoch 82/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0978 - mae: 0.2086 - val_loss: 0.2171 - val_mae: 0.4626 - learning_rate: 1.0000e-05
Epoch 83/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0983 - mae: 0.2087 - val_loss: 0.2160 - val_mae: 0.4613 - learning_rate: 1.0000e-05
Epoch 84/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1037 - mae: 0.2134 - val_loss: 0.2148 - val_mae: 0.4601 - learning_rate: 1.0000e-05
Epoch 85/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.1196 - mae: 0.2321 - val_loss: 0.2136 - val_mae: 0.4588 - learning_rate: 1.0000e-05
Epoch 86/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0951 - mae: 0.2026 - val_loss: 0.2125 - val_mae: 0.4575 - learning_rate: 1.0000e-05
Epoch 87/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 44ms/step - loss: 0.1038 - mae: 0.2122 - val_loss: 0.2112 - val_mae: 0.4562 - learning_rate: 1.0000e-05
Epoch 88/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 40ms/step - loss: 0.1016 - mae: 0.2133 - val_loss: 0.2101 - val_mae: 0.4549 - learning_rate: 1.0000e-05
Epoch 89/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0948 - mae: 0.2053 - val_loss: 0.2088 - val_mae: 0.4536 - learning_rate: 1.0000e-05
Epoch 90/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.1012 - mae: 0.2077 - val_loss: 0.2075 - val_mae: 0.4522 - learning_rate: 1.0000e-05
Epoch 91/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0907 - mae: 0.1998 - val_loss: 0.2063 - val_mae: 0.4508 - learning_rate: 1.0000e-05
Epoch 92/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0999 - mae: 0.2077 - val_loss: 0.2051 - val_mae: 0.4495 - learning_rate: 1.0000e-05
Epoch 93/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1057 - mae: 0.2113 - val_loss: 0.2039 - val_mae: 0.4481 - learning_rate: 1.0000e-05
Epoch 94/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0944 - mae: 0.2015 - val_loss: 0.2026 - val_mae: 0.4468 - learning_rate: 1.0000e-05
Epoch 95/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.1122 - mae: 0.2207 - val_loss: 0.2014 - val_mae: 0.4454 - learning_rate: 1.0000e-05
Epoch 96/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0938 - mae: 0.1994 - val_loss: 0.2001 - val_mae: 0.4440 - learning_rate: 1.0000e-05
Epoch 97/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.1007 - mae: 0.2088 - val_loss: 0.1988 - val_mae: 0.4425 - learning_rate: 1.0000e-05
Epoch 98/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0952 - mae: 0.1988 - val_loss: 0.1976 - val_mae: 0.4411 - learning_rate: 1.0000e-05
Epoch 99/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.1087 - mae: 0.2129 - val_loss: 0.1963 - val_mae: 0.4397 - learning_rate: 1.0000e-05
Epoch 100/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.1026 - mae: 0.2069 - val_loss: 0.1950 - val_mae: 0.4382 - learning_rate: 1.0000e-05
Epoch 101/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0972 - mae: 0.2011 - val_loss: 0.1937 - val_mae: 0.4368 - learning_rate: 1.0000e-05
Epoch 102/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0956 - mae: 0.2002 - val_loss: 0.1924 - val_mae: 0.4354 - learning_rate: 1.0000e-05
Epoch 103/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0894 - mae: 0.1966 - val_loss: 0.1911 - val_mae: 0.4338 - learning_rate: 1.0000e-05
Epoch 104/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0872 - mae: 0.1882 - val_loss: 0.1897 - val_mae: 0.4323 - learning_rate: 1.0000e-05
Epoch 105/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0909 - mae: 0.1923 - val_loss: 0.1884 - val_mae: 0.4308 - learning_rate: 1.0000e-05
Epoch 106/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 44ms/step - loss: 0.0918 - mae: 0.1905 - val_loss: 0.1870 - val_mae: 0.4292 - learning_rate: 1.0000e-05
Epoch 107/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0783 - mae: 0.1826 - val_loss: 0.1857 - val_mae: 0.4277 - learning_rate: 1.0000e-05
Epoch 108/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0959 - mae: 0.2008 - val_loss: 0.1843 - val_mae: 0.4260 - learning_rate: 1.0000e-05
Epoch 109/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0870 - mae: 0.1914 - val_loss: 0.1830 - val_mae: 0.4245 - learning_rate: 1.0000e-05
Epoch 110/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0950 - mae: 0.2012 - val_loss: 0.1817 - val_mae: 0.4230 - learning_rate: 1.0000e-05
Epoch 111/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0853 - mae: 0.1888 - val_loss: 0.1803 - val_mae: 0.4214 - learning_rate: 1.0000e-05
Epoch 112/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0814 - mae: 0.1844 - val_loss: 0.1789 - val_mae: 0.4198 - learning_rate: 1.0000e-05
Epoch 113/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0859 - mae: 0.1904 - val_loss: 0.1775 - val_mae: 0.4181 - learning_rate: 1.0000e-05
Epoch 114/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0848 - mae: 0.1857 - val_loss: 0.1762 - val_mae: 0.4165 - learning_rate: 1.0000e-05
Epoch 115/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0849 - mae: 0.1868 - val_loss: 0.1748 - val_mae: 0.4149 - learning_rate: 1.0000e-05
Epoch 116/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0806 - mae: 0.1792 - val_loss: 0.1735 - val_mae: 0.4133 - learning_rate: 1.0000e-05
Epoch 117/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0883 - mae: 0.1841 - val_loss: 0.1721 - val_mae: 0.4116 - learning_rate: 1.0000e-05
Epoch 118/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0905 - mae: 0.1971 - val_loss: 0.1706 - val_mae: 0.4099 - learning_rate: 1.0000e-05
Epoch 119/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0921 - mae: 0.1946 - val_loss: 0.1692 - val_mae: 0.4081 - learning_rate: 1.0000e-05
Epoch 120/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0832 - mae: 0.1881 - val_loss: 0.1678 - val_mae: 0.4065 - learning_rate: 1.0000e-05
Epoch 121/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0939 - mae: 0.1988 - val_loss: 0.1663 - val_mae: 0.4046 - learning_rate: 1.0000e-05
Epoch 122/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0983 - mae: 0.2058 - val_loss: 0.1649 - val_mae: 0.4029 - learning_rate: 1.0000e-05
Epoch 123/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0802 - mae: 0.1845 - val_loss: 0.1634 - val_mae: 0.4012 - learning_rate: 1.0000e-05
Epoch 124/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0615 - mae: 0.1562 - val_loss: 0.1621 - val_mae: 0.3995 - learning_rate: 1.0000e-05
Epoch 125/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0873 - mae: 0.1917 - val_loss: 0.1606 - val_mae: 0.3976 - learning_rate: 1.0000e-05
Epoch 126/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0771 - mae: 0.1772 - val_loss: 0.1591 - val_mae: 0.3958 - learning_rate: 1.0000e-05
Epoch 127/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0796 - mae: 0.1806 - val_loss: 0.1577 - val_mae: 0.3940 - learning_rate: 1.0000e-05
Epoch 128/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0736 - mae: 0.1721 - val_loss: 0.1562 - val_mae: 0.3921 - learning_rate: 1.0000e-05
Epoch 129/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0811 - mae: 0.1822 - val_loss: 0.1546 - val_mae: 0.3902 - learning_rate: 1.0000e-05
Epoch 130/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0760 - mae: 0.1734 - val_loss: 0.1532 - val_mae: 0.3883 - learning_rate: 1.0000e-05
Epoch 131/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0670 - mae: 0.1606 - val_loss: 0.1517 - val_mae: 0.3864 - learning_rate: 1.0000e-05
Epoch 132/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0838 - mae: 0.1855 - val_loss: 0.1501 - val_mae: 0.3844 - learning_rate: 1.0000e-05
Epoch 133/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0807 - mae: 0.1808 - val_loss: 0.1486 - val_mae: 0.3825 - learning_rate: 1.0000e-05
Epoch 134/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0762 - mae: 0.1771 - val_loss: 0.1472 - val_mae: 0.3806 - learning_rate: 1.0000e-05
Epoch 135/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0751 - mae: 0.1766 - val_loss: 0.1456 - val_mae: 0.3786 - learning_rate: 1.0000e-05
Epoch 136/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0718 - mae: 0.1661 - val_loss: 0.1441 - val_mae: 0.3766 - learning_rate: 1.0000e-05
Epoch 137/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 40ms/step - loss: 0.0765 - mae: 0.1799 - val_loss: 0.1425 - val_mae: 0.3745 - learning_rate: 1.0000e-05
Epoch 138/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0592 - mae: 0.1535 - val_loss: 0.1410 - val_mae: 0.3725 - learning_rate: 1.0000e-05
Epoch 139/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0669 - mae: 0.1656 - val_loss: 0.1394 - val_mae: 0.3705 - learning_rate: 1.0000e-05
Epoch 140/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0863 - mae: 0.1884 - val_loss: 0.1378 - val_mae: 0.3683 - learning_rate: 1.0000e-05
Epoch 141/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0726 - mae: 0.1736 - val_loss: 0.1363 - val_mae: 0.3662 - learning_rate: 1.0000e-05
Epoch 142/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0642 - mae: 0.1618 - val_loss: 0.1347 - val_mae: 0.3641 - learning_rate: 1.0000e-05
Epoch 143/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0581 - mae: 0.1507 - val_loss: 0.1330 - val_mae: 0.3618 - learning_rate: 1.0000e-05
Epoch 144/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0741 - mae: 0.1775 - val_loss: 0.1314 - val_mae: 0.3595 - learning_rate: 1.0000e-05
Epoch 145/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 22ms/step - loss: 0.0680 - mae: 0.1652 - val_loss: 0.1298 - val_mae: 0.3575 - learning_rate: 1.0000e-05
Epoch 146/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0689 - mae: 0.1663 - val_loss: 0.1283 - val_mae: 0.3553 - learning_rate: 1.0000e-05
Epoch 147/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0690 - mae: 0.1692 - val_loss: 0.1267 - val_mae: 0.3530 - learning_rate: 1.0000e-05
Epoch 148/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0574 - mae: 0.1485 - val_loss: 0.1251 - val_mae: 0.3508 - learning_rate: 1.0000e-05
Epoch 149/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0601 - mae: 0.1518 - val_loss: 0.1235 - val_mae: 0.3486 - learning_rate: 1.0000e-05
Epoch 150/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.0592 - mae: 0.1524 - val_loss: 0.1219 - val_mae: 0.3463 - learning_rate: 1.0000e-05
Epoch 151/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0664 - mae: 0.1634 - val_loss: 0.1203 - val_mae: 0.3440 - learning_rate: 1.0000e-05
Epoch 152/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0613 - mae: 0.1579 - val_loss: 0.1188 - val_mae: 0.3418 - learning_rate: 1.0000e-05
Epoch 153/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0640 - mae: 0.1590 - val_loss: 0.1172 - val_mae: 0.3395 - learning_rate: 1.0000e-05
Epoch 154/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0577 - mae: 0.1525 - val_loss: 0.1156 - val_mae: 0.3373 - learning_rate: 1.0000e-05
Epoch 155/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0569 - mae: 0.1516 - val_loss: 0.1141 - val_mae: 0.3350 - learning_rate: 1.0000e-05
Epoch 156/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0639 - mae: 0.1597 - val_loss: 0.1124 - val_mae: 0.3325 - learning_rate: 1.0000e-05
Epoch 157/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0546 - mae: 0.1460 - val_loss: 0.1108 - val_mae: 0.3302 - learning_rate: 1.0000e-05
Epoch 158/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0719 - mae: 0.1689 - val_loss: 0.1092 - val_mae: 0.3278 - learning_rate: 1.0000e-05
Epoch 159/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0533 - mae: 0.1451 - val_loss: 0.1076 - val_mae: 0.3252 - learning_rate: 1.0000e-05
Epoch 160/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0658 - mae: 0.1595 - val_loss: 0.1059 - val_mae: 0.3227 - learning_rate: 1.0000e-05
Epoch 161/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0569 - mae: 0.1540 - val_loss: 0.1043 - val_mae: 0.3203 - learning_rate: 1.0000e-05
Epoch 162/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0638 - mae: 0.1599 - val_loss: 0.1027 - val_mae: 0.3178 - learning_rate: 1.0000e-05
Epoch 163/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 41ms/step - loss: 0.0495 - mae: 0.1390 - val_loss: 0.1012 - val_mae: 0.3154 - learning_rate: 1.0000e-05
Epoch 164/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0541 - mae: 0.1448 - val_loss: 0.0996 - val_mae: 0.3129 - learning_rate: 1.0000e-05
Epoch 165/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 40ms/step - loss: 0.0582 - mae: 0.1479 - val_loss: 0.0980 - val_mae: 0.3104 - learning_rate: 1.0000e-05
Epoch 166/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0593 - mae: 0.1567 - val_loss: 0.0965 - val_mae: 0.3079 - learning_rate: 1.0000e-05
Epoch 167/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0531 - mae: 0.1445 - val_loss: 0.0948 - val_mae: 0.3053 - learning_rate: 1.0000e-05
Epoch 168/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0551 - mae: 0.1469 - val_loss: 0.0932 - val_mae: 0.3026 - learning_rate: 1.0000e-05
Epoch 169/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0562 - mae: 0.1522 - val_loss: 0.0916 - val_mae: 0.3000 - learning_rate: 1.0000e-05
Epoch 170/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0487 - mae: 0.1317 - val_loss: 0.0902 - val_mae: 0.2976 - learning_rate: 1.0000e-05
Epoch 171/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0507 - mae: 0.1379 - val_loss: 0.0885 - val_mae: 0.2949 - learning_rate: 1.0000e-05
Epoch 172/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0495 - mae: 0.1410 - val_loss: 0.0869 - val_mae: 0.2923 - learning_rate: 1.0000e-05
Epoch 173/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0494 - mae: 0.1371 - val_loss: 0.0854 - val_mae: 0.2897 - learning_rate: 1.0000e-05
Epoch 174/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0496 - mae: 0.1356 - val_loss: 0.0839 - val_mae: 0.2870 - learning_rate: 1.0000e-05
Epoch 175/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0471 - mae: 0.1327 - val_loss: 0.0823 - val_mae: 0.2843 - learning_rate: 1.0000e-05
Epoch 176/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0585 - mae: 0.1538 - val_loss: 0.0807 - val_mae: 0.2815 - learning_rate: 1.0000e-05
Epoch 177/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0521 - mae: 0.1359 - val_loss: 0.0793 - val_mae: 0.2790 - learning_rate: 1.0000e-05
Epoch 178/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0454 - mae: 0.1315 - val_loss: 0.0777 - val_mae: 0.2762 - learning_rate: 1.0000e-05
Epoch 179/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0395 - mae: 0.1217 - val_loss: 0.0763 - val_mae: 0.2736 - learning_rate: 1.0000e-05
Epoch 180/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0490 - mae: 0.1406 - val_loss: 0.0747 - val_mae: 0.2708 - learning_rate: 1.0000e-05
Epoch 181/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0446 - mae: 0.1328 - val_loss: 0.0733 - val_mae: 0.2681 - learning_rate: 1.0000e-05
Epoch 182/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0420 - mae: 0.1245 - val_loss: 0.0718 - val_mae: 0.2654 - learning_rate: 1.0000e-05
Epoch 183/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0439 - mae: 0.1288 - val_loss: 0.0703 - val_mae: 0.2627 - learning_rate: 1.0000e-05
Epoch 184/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0430 - mae: 0.1277 - val_loss: 0.0689 - val_mae: 0.2599 - learning_rate: 1.0000e-05
Epoch 185/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0428 - mae: 0.1272 - val_loss: 0.0675 - val_mae: 0.2572 - learning_rate: 1.0000e-05
Epoch 186/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0375 - mae: 0.1198 - val_loss: 0.0660 - val_mae: 0.2545 - learning_rate: 1.0000e-05
Epoch 187/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0435 - mae: 0.1290 - val_loss: 0.0646 - val_mae: 0.2517 - learning_rate: 1.0000e-05
Epoch 188/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0418 - mae: 0.1229 - val_loss: 0.0633 - val_mae: 0.2490 - learning_rate: 1.0000e-05
Epoch 189/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0432 - mae: 0.1252 - val_loss: 0.0618 - val_mae: 0.2461 - learning_rate: 1.0000e-05
Epoch 190/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0370 - mae: 0.1185 - val_loss: 0.0604 - val_mae: 0.2432 - learning_rate: 1.0000e-05
Epoch 191/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0463 - mae: 0.1310 - val_loss: 0.0590 - val_mae: 0.2403 - learning_rate: 1.0000e-05
Epoch 192/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0442 - mae: 0.1245 - val_loss: 0.0576 - val_mae: 0.2375 - learning_rate: 1.0000e-05
Epoch 193/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0360 - mae: 0.1162 - val_loss: 0.0563 - val_mae: 0.2348 - learning_rate: 1.0000e-05
Epoch 194/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0319 - mae: 0.1089 - val_loss: 0.0550 - val_mae: 0.2320 - learning_rate: 1.0000e-05
Epoch 195/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0432 - mae: 0.1198 - val_loss: 0.0537 - val_mae: 0.2292 - learning_rate: 1.0000e-05
Epoch 196/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0371 - mae: 0.1152 - val_loss: 0.0524 - val_mae: 0.2262 - learning_rate: 1.0000e-05
Epoch 197/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0355 - mae: 0.1110 - val_loss: 0.0511 - val_mae: 0.2234 - learning_rate: 1.0000e-05
Epoch 198/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0314 - mae: 0.1080 - val_loss: 0.0498 - val_mae: 0.2206 - learning_rate: 1.0000e-05
Epoch 199/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0326 - mae: 0.1103 - val_loss: 0.0486 - val_mae: 0.2178 - learning_rate: 1.0000e-05
Epoch 200/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0370 - mae: 0.1126 - val_loss: 0.0473 - val_mae: 0.2148 - learning_rate: 1.0000e-05
Epoch 201/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0349 - mae: 0.1175 - val_loss: 0.0460 - val_mae: 0.2118 - learning_rate: 1.0000e-05
Epoch 202/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0240 - mae: 0.0962 - val_loss: 0.0449 - val_mae: 0.2091 - learning_rate: 1.0000e-05
Epoch 203/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0233 - mae: 0.0963 - val_loss: 0.0437 - val_mae: 0.2064 - learning_rate: 1.0000e-05
Epoch 204/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0344 - mae: 0.1122 - val_loss: 0.0425 - val_mae: 0.2033 - learning_rate: 1.0000e-05
Epoch 205/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0337 - mae: 0.1065 - val_loss: 0.0413 - val_mae: 0.2004 - learning_rate: 1.0000e-05
Epoch 206/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0330 - mae: 0.1140 - val_loss: 0.0401 - val_mae: 0.1974 - learning_rate: 1.0000e-05
Epoch 207/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0288 - mae: 0.1042 - val_loss: 0.0390 - val_mae: 0.1947 - learning_rate: 1.0000e-05
Epoch 208/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0309 - mae: 0.1083 - val_loss: 0.0378 - val_mae: 0.1917 - learning_rate: 1.0000e-05
Epoch 209/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0253 - mae: 0.0954 - val_loss: 0.0368 - val_mae: 0.1889 - learning_rate: 1.0000e-05
Epoch 210/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0250 - mae: 0.0962 - val_loss: 0.0357 - val_mae: 0.1860 - learning_rate: 1.0000e-05
Epoch 211/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0256 - mae: 0.0985 - val_loss: 0.0346 - val_mae: 0.1830 - learning_rate: 1.0000e-05
Epoch 212/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0304 - mae: 0.1079 - val_loss: 0.0335 - val_mae: 0.1801 - learning_rate: 1.0000e-05
Epoch 213/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 43ms/step - loss: 0.0254 - mae: 0.1006 - val_loss: 0.0324 - val_mae: 0.1771 - learning_rate: 1.0000e-05
Epoch 214/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.0257 - mae: 0.0978 - val_loss: 0.0314 - val_mae: 0.1742 - learning_rate: 1.0000e-05
Epoch 215/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0306 - mae: 0.1118 - val_loss: 0.0304 - val_mae: 0.1713 - learning_rate: 1.0000e-05
Epoch 216/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 41ms/step - loss: 0.0286 - mae: 0.1024 - val_loss: 0.0295 - val_mae: 0.1685 - learning_rate: 1.0000e-05
Epoch 217/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0258 - mae: 0.0982 - val_loss: 0.0286 - val_mae: 0.1658 - learning_rate: 1.0000e-05
Epoch 218/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0311 - mae: 0.1097 - val_loss: 0.0276 - val_mae: 0.1628 - learning_rate: 1.0000e-05
Epoch 219/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0277 - mae: 0.0994 - val_loss: 0.0267 - val_mae: 0.1600 - learning_rate: 1.0000e-05
Epoch 220/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0281 - mae: 0.1019 - val_loss: 0.0257 - val_mae: 0.1571 - learning_rate: 1.0000e-05
Epoch 221/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0262 - mae: 0.1005 - val_loss: 0.0249 - val_mae: 0.1543 - learning_rate: 1.0000e-05
Epoch 222/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0249 - mae: 0.0985 - val_loss: 0.0241 - val_mae: 0.1516 - learning_rate: 1.0000e-05
Epoch 223/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0262 - mae: 0.1024 - val_loss: 0.0232 - val_mae: 0.1489 - learning_rate: 1.0000e-05
Epoch 224/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0220 - mae: 0.0897 - val_loss: 0.0226 - val_mae: 0.1465 - learning_rate: 1.0000e-05
Epoch 225/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0201 - mae: 0.0901 - val_loss: 0.0218 - val_mae: 0.1440 - learning_rate: 1.0000e-05
Epoch 226/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0238 - mae: 0.0941 - val_loss: 0.0211 - val_mae: 0.1415 - learning_rate: 1.0000e-05
Epoch 227/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0193 - mae: 0.0884 - val_loss: 0.0204 - val_mae: 0.1390 - learning_rate: 1.0000e-05
Epoch 228/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0193 - mae: 0.0879 - val_loss: 0.0197 - val_mae: 0.1364 - learning_rate: 1.0000e-05
Epoch 229/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0221 - mae: 0.0929 - val_loss: 0.0190 - val_mae: 0.1338 - learning_rate: 1.0000e-05
Epoch 230/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0255 - mae: 0.1013 - val_loss: 0.0184 - val_mae: 0.1314 - learning_rate: 1.0000e-05
Epoch 231/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0189 - mae: 0.0901 - val_loss: 0.0177 - val_mae: 0.1290 - learning_rate: 1.0000e-05
Epoch 232/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0208 - mae: 0.0918 - val_loss: 0.0172 - val_mae: 0.1267 - learning_rate: 1.0000e-05
Epoch 233/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0200 - mae: 0.0883 - val_loss: 0.0166 - val_mae: 0.1243 - learning_rate: 1.0000e-05
Epoch 234/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0217 - mae: 0.0955 - val_loss: 0.0159 - val_mae: 0.1217 - learning_rate: 1.0000e-05
Epoch 235/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0180 - mae: 0.0873 - val_loss: 0.0154 - val_mae: 0.1194 - learning_rate: 1.0000e-05
Epoch 236/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0177 - mae: 0.0861 - val_loss: 0.0148 - val_mae: 0.1169 - learning_rate: 1.0000e-05
Epoch 237/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0166 - mae: 0.0843 - val_loss: 0.0143 - val_mae: 0.1146 - learning_rate: 1.0000e-05
Epoch 238/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 42ms/step - loss: 0.0221 - mae: 0.0944 - val_loss: 0.0138 - val_mae: 0.1124 - learning_rate: 1.0000e-05
Epoch 239/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0207 - mae: 0.0903 - val_loss: 0.0133 - val_mae: 0.1102 - learning_rate: 1.0000e-05
Epoch 240/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0189 - mae: 0.0885 - val_loss: 0.0128 - val_mae: 0.1080 - learning_rate: 1.0000e-05
Epoch 241/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 39ms/step - loss: 0.0164 - mae: 0.0839 - val_loss: 0.0123 - val_mae: 0.1057 - learning_rate: 1.0000e-05
Epoch 242/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0205 - mae: 0.0858 - val_loss: 0.0118 - val_mae: 0.1034 - learning_rate: 1.0000e-05
Epoch 243/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0224 - mae: 0.0889 - val_loss: 0.0114 - val_mae: 0.1012 - learning_rate: 1.0000e-05
Epoch 244/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0206 - mae: 0.0915 - val_loss: 0.0109 - val_mae: 0.0990 - learning_rate: 1.0000e-05
Epoch 245/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0152 - mae: 0.0813 - val_loss: 0.0106 - val_mae: 0.0970 - learning_rate: 1.0000e-05
Epoch 246/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0174 - mae: 0.0843 - val_loss: 0.0102 - val_mae: 0.0951 - learning_rate: 1.0000e-05
Epoch 247/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0178 - mae: 0.0873 - val_loss: 0.0098 - val_mae: 0.0929 - learning_rate: 1.0000e-05
Epoch 248/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0166 - mae: 0.0827 - val_loss: 0.0094 - val_mae: 0.0910 - learning_rate: 1.0000e-05
Epoch 249/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0178 - mae: 0.0814 - val_loss: 0.0091 - val_mae: 0.0893 - learning_rate: 1.0000e-05
Epoch 250/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0195 - mae: 0.0848 - val_loss: 0.0087 - val_mae: 0.0873 - learning_rate: 1.0000e-05
Epoch 251/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0156 - mae: 0.0822 - val_loss: 0.0084 - val_mae: 0.0853 - learning_rate: 1.0000e-05
Epoch 252/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0207 - mae: 0.0883 - val_loss: 0.0081 - val_mae: 0.0834 - learning_rate: 1.0000e-05
Epoch 253/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0166 - mae: 0.0911 - val_loss: 0.0078 - val_mae: 0.0816 - learning_rate: 1.0000e-05
Epoch 254/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0144 - mae: 0.0776 - val_loss: 0.0075 - val_mae: 0.0801 - learning_rate: 1.0000e-05
Epoch 255/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0167 - mae: 0.0840 - val_loss: 0.0072 - val_mae: 0.0785 - learning_rate: 1.0000e-05
Epoch 256/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0152 - mae: 0.0805 - val_loss: 0.0069 - val_mae: 0.0766 - learning_rate: 1.0000e-05
Epoch 257/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0222 - mae: 0.0946 - val_loss: 0.0066 - val_mae: 0.0746 - learning_rate: 1.0000e-05
Epoch 258/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0206 - mae: 0.0851 - val_loss: 0.0064 - val_mae: 0.0729 - learning_rate: 1.0000e-05
Epoch 259/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0168 - mae: 0.0834 - val_loss: 0.0061 - val_mae: 0.0711 - learning_rate: 1.0000e-05
Epoch 260/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0156 - mae: 0.0840 - val_loss: 0.0059 - val_mae: 0.0694 - learning_rate: 1.0000e-05
Epoch 261/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0147 - mae: 0.0805 - val_loss: 0.0056 - val_mae: 0.0679 - learning_rate: 1.0000e-05
Epoch 262/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0119 - mae: 0.0729 - val_loss: 0.0054 - val_mae: 0.0665 - learning_rate: 1.0000e-05
Epoch 263/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0171 - mae: 0.0834 - val_loss: 0.0052 - val_mae: 0.0650 - learning_rate: 1.0000e-05
Epoch 264/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0110 - mae: 0.0765 - val_loss: 0.0050 - val_mae: 0.0636 - learning_rate: 1.0000e-05
Epoch 265/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0113 - mae: 0.0715 - val_loss: 0.0049 - val_mae: 0.0624 - learning_rate: 1.0000e-05
Epoch 266/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0119 - mae: 0.0731 - val_loss: 0.0047 - val_mae: 0.0612 - learning_rate: 1.0000e-05
Epoch 267/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0153 - mae: 0.0822 - val_loss: 0.0046 - val_mae: 0.0600 - learning_rate: 1.0000e-05
Epoch 268/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0108 - mae: 0.0766 - val_loss: 0.0044 - val_mae: 0.0589 - learning_rate: 1.0000e-05
Epoch 269/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0125 - mae: 0.0759 - val_loss: 0.0043 - val_mae: 0.0579 - learning_rate: 1.0000e-05
Epoch 270/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0128 - mae: 0.0765 - val_loss: 0.0042 - val_mae: 0.0568 - learning_rate: 1.0000e-05
Epoch 271/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0190 - mae: 0.0900 - val_loss: 0.0040 - val_mae: 0.0559 - learning_rate: 1.0000e-05
Epoch 272/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0128 - mae: 0.0801 - val_loss: 0.0039 - val_mae: 0.0550 - learning_rate: 1.0000e-05
Epoch 273/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0112 - mae: 0.0752 - val_loss: 0.0038 - val_mae: 0.0542 - learning_rate: 1.0000e-05
Epoch 274/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0134 - mae: 0.0820 - val_loss: 0.0037 - val_mae: 0.0534 - learning_rate: 1.0000e-05
Epoch 275/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.0169 - mae: 0.0881 - val_loss: 0.0036 - val_mae: 0.0526 - learning_rate: 1.0000e-05
Epoch 276/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0163 - mae: 0.0892 - val_loss: 0.0035 - val_mae: 0.0517 - learning_rate: 1.0000e-05
Epoch 277/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0130 - mae: 0.0814 - val_loss: 0.0034 - val_mae: 0.0509 - learning_rate: 1.0000e-05
Epoch 278/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0127 - mae: 0.0749 - val_loss: 0.0034 - val_mae: 0.0503 - learning_rate: 1.0000e-05
Epoch 279/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0139 - mae: 0.0791 - val_loss: 0.0033 - val_mae: 0.0495 - learning_rate: 1.0000e-05
Epoch 280/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0131 - mae: 0.0764 - val_loss: 0.0032 - val_mae: 0.0489 - learning_rate: 1.0000e-05
Epoch 281/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0088 - mae: 0.0672 - val_loss: 0.0032 - val_mae: 0.0485 - learning_rate: 1.0000e-05
Epoch 282/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0109 - mae: 0.0727 - val_loss: 0.0031 - val_mae: 0.0478 - learning_rate: 1.0000e-05
Epoch 283/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0149 - mae: 0.0785 - val_loss: 0.0030 - val_mae: 0.0473 - learning_rate: 1.0000e-05
Epoch 284/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0144 - mae: 0.0824 - val_loss: 0.0029 - val_mae: 0.0465 - learning_rate: 1.0000e-05
Epoch 285/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0095 - mae: 0.0687 - val_loss: 0.0029 - val_mae: 0.0460 - learning_rate: 1.0000e-05
Epoch 286/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0146 - mae: 0.0808 - val_loss: 0.0028 - val_mae: 0.0456 - learning_rate: 1.0000e-05
Epoch 287/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0135 - mae: 0.0788 - val_loss: 0.0028 - val_mae: 0.0451 - learning_rate: 1.0000e-05
Epoch 288/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0150 - mae: 0.0801 - val_loss: 0.0027 - val_mae: 0.0445 - learning_rate: 1.0000e-05
Epoch 289/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 38ms/step - loss: 0.0132 - mae: 0.0795 - val_loss: 0.0027 - val_mae: 0.0439 - learning_rate: 1.0000e-05
Epoch 290/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0180 - mae: 0.0903 - val_loss: 0.0026 - val_mae: 0.0433 - learning_rate: 1.0000e-05
Epoch 291/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0110 - mae: 0.0697 - val_loss: 0.0026 - val_mae: 0.0430 - learning_rate: 1.0000e-05
Epoch 292/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 46ms/step - loss: 0.0137 - mae: 0.0813 - val_loss: 0.0026 - val_mae: 0.0426 - learning_rate: 1.0000e-05
Epoch 293/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0166 - mae: 0.0845 - val_loss: 0.0025 - val_mae: 0.0423 - learning_rate: 1.0000e-05
Epoch 294/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0120 - mae: 0.0791 - val_loss: 0.0025 - val_mae: 0.0422 - learning_rate: 1.0000e-05
Epoch 295/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0134 - mae: 0.0778 - val_loss: 0.0025 - val_mae: 0.0420 - learning_rate: 1.0000e-05
Epoch 296/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0129 - mae: 0.0785 - val_loss: 0.0025 - val_mae: 0.0418 - learning_rate: 5.0000e-06
Epoch 297/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0108 - mae: 0.0726 - val_loss: 0.0025 - val_mae: 0.0416 - learning_rate: 5.0000e-06
Epoch 298/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0165 - mae: 0.0839 - val_loss: 0.0024 - val_mae: 0.0414 - learning_rate: 5.0000e-06
Epoch 299/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0107 - mae: 0.0709 - val_loss: 0.0024 - val_mae: 0.0412 - learning_rate: 5.0000e-06
Epoch 300/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0131 - mae: 0.0766 - val_loss: 0.0024 - val_mae: 0.0411 - learning_rate: 5.0000e-06
Epoch 301/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0113 - mae: 0.0772 - val_loss: 0.0024 - val_mae: 0.0411 - learning_rate: 5.0000e-06
Epoch 302/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0114 - mae: 0.0773 - val_loss: 0.0024 - val_mae: 0.0411 - learning_rate: 2.5000e-06
Epoch 303/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0093 - mae: 0.0687 - val_loss: 0.0024 - val_mae: 0.0410 - learning_rate: 2.5000e-06
Epoch 304/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0122 - mae: 0.0791 - val_loss: 0.0024 - val_mae: 0.0410 - learning_rate: 2.5000e-06
Epoch 305/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0168 - mae: 0.0913 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 1.2500e-06
Epoch 306/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0116 - mae: 0.0782 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 1.2500e-06
Epoch 307/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0124 - mae: 0.0759 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 1.2500e-06
Epoch 308/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0148 - mae: 0.0793 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 6.2500e-07
Epoch 309/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0141 - mae: 0.0838 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 6.2500e-07
Epoch 310/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0098 - mae: 0.0705 - val_loss: 0.0024 - val_mae: 0.0409 - learning_rate: 6.2500e-07
Epoch 311/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0140 - mae: 0.0790 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.1250e-07
Epoch 312/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - loss: 0.0134 - mae: 0.0771 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.1250e-07
Epoch 313/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0152 - mae: 0.0816 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.1250e-07
Epoch 314/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step - loss: 0.0136 - mae: 0.0767 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.5625e-07
Epoch 315/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 46ms/step - loss: 0.0184 - mae: 0.0897 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.5625e-07
Epoch 316/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0141 - mae: 0.0825 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.5625e-07
Epoch 317/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 46ms/step - loss: 0.0128 - mae: 0.0820 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 7.8125e-08
Epoch 318/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 44ms/step - loss: 0.0139 - mae: 0.0812 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 7.8125e-08
Epoch 319/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0115 - mae: 0.0770 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 7.8125e-08
Epoch 320/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0137 - mae: 0.0803 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.9062e-08
Epoch 321/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0098 - mae: 0.0694 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.9062e-08
Epoch 322/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0108 - mae: 0.0760 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.9062e-08
Epoch 323/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0120 - mae: 0.0768 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.9531e-08
Epoch 324/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - loss: 0.0141 - mae: 0.0821 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.9531e-08
Epoch 325/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - loss: 0.0112 - mae: 0.0751 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.9531e-08
Epoch 326/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0126 - mae: 0.0771 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 9.7656e-09
Epoch 327/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0179 - mae: 0.0898 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 9.7656e-09
Epoch 328/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0105 - mae: 0.0733 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 9.7656e-09
Epoch 329/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step - loss: 0.0122 - mae: 0.0804 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 4.8828e-09
Epoch 330/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step - loss: 0.0142 - mae: 0.0756 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 4.8828e-09
Epoch 331/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - loss: 0.0109 - mae: 0.0710 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 4.8828e-09
Epoch 332/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0120 - mae: 0.0780 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 2.4414e-09
Epoch 333/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - loss: 0.0126 - mae: 0.0800 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 2.4414e-09
Epoch 334/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0154 - mae: 0.0808 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 2.4414e-09
Epoch 335/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - loss: 0.0140 - mae: 0.0802 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.2207e-09
Epoch 336/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0148 - mae: 0.0833 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.2207e-09
Epoch 337/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step - loss: 0.0115 - mae: 0.0737 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 1.2207e-09
Epoch 338/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0122 - mae: 0.0771 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 6.1035e-10
Epoch 339/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step - loss: 0.0084 - mae: 0.0671 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 6.1035e-10
Epoch 340/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 18ms/step - loss: 0.0117 - mae: 0.0784 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 6.1035e-10
Epoch 341/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0127 - mae: 0.0742 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.0518e-10
Epoch 342/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 20ms/step - loss: 0.0096 - mae: 0.0728 - val_loss: 0.0024 - val_mae: 0.0408 - learning_rate: 3.0518e-10
5/5 ━━━━━━━━━━━━━━━━━━━━ 1s 195ms/step
Regression Metrics:
  MSE: 2985628.5200
  MAE: 1440.3080
  RMSE: 1727.8971
  R2 Score: 0.3870
Epoch 1/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 17s 374ms/step - loss: 0.1312 - mae: 0.2617 - val_loss: 0.2916 - val_mae: 0.5364 - learning_rate: 1.0000e-05
Epoch 2/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 98ms/step - loss: 0.1312 - mae: 0.2594 - val_loss: 0.2901 - val_mae: 0.5349 - learning_rate: 1.0000e-05
Epoch 3/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.1222 - mae: 0.2524 - val_loss: 0.2885 - val_mae: 0.5335 - learning_rate: 1.0000e-05
Epoch 4/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1413 - mae: 0.2671 - val_loss: 0.2870 - val_mae: 0.5321 - learning_rate: 1.0000e-05
Epoch 5/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.1210 - mae: 0.2465 - val_loss: 0.2856 - val_mae: 0.5307 - learning_rate: 1.0000e-05
Epoch 6/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.1423 - mae: 0.2674 - val_loss: 0.2841 - val_mae: 0.5294 - learning_rate: 1.0000e-05
Epoch 7/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.1280 - mae: 0.2541 - val_loss: 0.2827 - val_mae: 0.5281 - learning_rate: 1.0000e-05
Epoch 8/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.1266 - mae: 0.2502 - val_loss: 0.2813 - val_mae: 0.5268 - learning_rate: 1.0000e-05
Epoch 9/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1163 - mae: 0.2403 - val_loss: 0.2799 - val_mae: 0.5254 - learning_rate: 1.0000e-05
Epoch 10/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 46ms/step - loss: 0.1237 - mae: 0.2443 - val_loss: 0.2783 - val_mae: 0.5239 - learning_rate: 1.0000e-05
Epoch 11/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.1307 - mae: 0.2554 - val_loss: 0.2767 - val_mae: 0.5224 - learning_rate: 1.0000e-05
Epoch 12/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.1220 - mae: 0.2430 - val_loss: 0.2752 - val_mae: 0.5210 - learning_rate: 1.0000e-05
Epoch 13/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.1267 - mae: 0.2514 - val_loss: 0.2736 - val_mae: 0.5195 - learning_rate: 1.0000e-05
Epoch 14/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 123ms/step - loss: 0.1235 - mae: 0.2397 - val_loss: 0.2719 - val_mae: 0.5179 - learning_rate: 1.0000e-05
Epoch 15/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1288 - mae: 0.2465 - val_loss: 0.2702 - val_mae: 0.5162 - learning_rate: 1.0000e-05
Epoch 16/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.1214 - mae: 0.2385 - val_loss: 0.2684 - val_mae: 0.5145 - learning_rate: 1.0000e-05
Epoch 17/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1300 - mae: 0.2505 - val_loss: 0.2666 - val_mae: 0.5128 - learning_rate: 1.0000e-05
Epoch 18/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.1147 - mae: 0.2340 - val_loss: 0.2649 - val_mae: 0.5111 - learning_rate: 1.0000e-05
Epoch 19/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 109ms/step - loss: 0.1105 - mae: 0.2295 - val_loss: 0.2632 - val_mae: 0.5095 - learning_rate: 1.0000e-05
Epoch 20/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 107ms/step - loss: 0.1177 - mae: 0.2329 - val_loss: 0.2614 - val_mae: 0.5077 - learning_rate: 1.0000e-05
Epoch 21/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 119ms/step - loss: 0.1161 - mae: 0.2313 - val_loss: 0.2596 - val_mae: 0.5060 - learning_rate: 1.0000e-05
Epoch 22/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.1085 - mae: 0.2193 - val_loss: 0.2579 - val_mae: 0.5044 - learning_rate: 1.0000e-05
Epoch 23/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1218 - mae: 0.2391 - val_loss: 0.2561 - val_mae: 0.5026 - learning_rate: 1.0000e-05
Epoch 24/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.1137 - mae: 0.2294 - val_loss: 0.2543 - val_mae: 0.5008 - learning_rate: 1.0000e-05
Epoch 25/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.1088 - mae: 0.2250 - val_loss: 0.2526 - val_mae: 0.4991 - learning_rate: 1.0000e-05
Epoch 26/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 44ms/step - loss: 0.1260 - mae: 0.2451 - val_loss: 0.2507 - val_mae: 0.4973 - learning_rate: 1.0000e-05
Epoch 27/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.1210 - mae: 0.2325 - val_loss: 0.2490 - val_mae: 0.4955 - learning_rate: 1.0000e-05
Epoch 28/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.1172 - mae: 0.2307 - val_loss: 0.2472 - val_mae: 0.4937 - learning_rate: 1.0000e-05
Epoch 29/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 41ms/step - loss: 0.1182 - mae: 0.2328 - val_loss: 0.2453 - val_mae: 0.4919 - learning_rate: 1.0000e-05
Epoch 30/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.1159 - mae: 0.2286 - val_loss: 0.2435 - val_mae: 0.4901 - learning_rate: 1.0000e-05
Epoch 31/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 31ms/step - loss: 0.1167 - mae: 0.2298 - val_loss: 0.2417 - val_mae: 0.4882 - learning_rate: 1.0000e-05
Epoch 32/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.1173 - mae: 0.2293 - val_loss: 0.2399 - val_mae: 0.4864 - learning_rate: 1.0000e-05
Epoch 33/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.1002 - mae: 0.2143 - val_loss: 0.2381 - val_mae: 0.4845 - learning_rate: 1.0000e-05
Epoch 34/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.1187 - mae: 0.2324 - val_loss: 0.2361 - val_mae: 0.4824 - learning_rate: 1.0000e-05
Epoch 35/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.1118 - mae: 0.2235 - val_loss: 0.2341 - val_mae: 0.4804 - learning_rate: 1.0000e-05
Epoch 36/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0969 - mae: 0.2061 - val_loss: 0.2322 - val_mae: 0.4785 - learning_rate: 1.0000e-05
Epoch 37/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.1017 - mae: 0.2057 - val_loss: 0.2303 - val_mae: 0.4765 - learning_rate: 1.0000e-05
Epoch 38/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.1035 - mae: 0.2114 - val_loss: 0.2284 - val_mae: 0.4746 - learning_rate: 1.0000e-05
Epoch 39/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.1080 - mae: 0.2181 - val_loss: 0.2266 - val_mae: 0.4726 - learning_rate: 1.0000e-05
Epoch 40/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0970 - mae: 0.2009 - val_loss: 0.2247 - val_mae: 0.4707 - learning_rate: 1.0000e-05
Epoch 41/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.1135 - mae: 0.2283 - val_loss: 0.2229 - val_mae: 0.4687 - learning_rate: 1.0000e-05
Epoch 42/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.1030 - mae: 0.2129 - val_loss: 0.2210 - val_mae: 0.4668 - learning_rate: 1.0000e-05
Epoch 43/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.1056 - mae: 0.2152 - val_loss: 0.2192 - val_mae: 0.4648 - learning_rate: 1.0000e-05
Epoch 44/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.1050 - mae: 0.2096 - val_loss: 0.2173 - val_mae: 0.4628 - learning_rate: 1.0000e-05
Epoch 45/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0944 - mae: 0.2004 - val_loss: 0.2154 - val_mae: 0.4608 - learning_rate: 1.0000e-05
Epoch 46/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0892 - mae: 0.1974 - val_loss: 0.2135 - val_mae: 0.4587 - learning_rate: 1.0000e-05
Epoch 47/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.1157 - mae: 0.2246 - val_loss: 0.2115 - val_mae: 0.4566 - learning_rate: 1.0000e-05
Epoch 48/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0997 - mae: 0.2023 - val_loss: 0.2095 - val_mae: 0.4544 - learning_rate: 1.0000e-05
Epoch 49/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0809 - mae: 0.1860 - val_loss: 0.2076 - val_mae: 0.4523 - learning_rate: 1.0000e-05
Epoch 50/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0962 - mae: 0.2005 - val_loss: 0.2056 - val_mae: 0.4501 - learning_rate: 1.0000e-05
Epoch 51/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 39ms/step - loss: 0.1007 - mae: 0.2031 - val_loss: 0.2036 - val_mae: 0.4479 - learning_rate: 1.0000e-05
Epoch 52/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.1004 - mae: 0.2050 - val_loss: 0.2015 - val_mae: 0.4456 - learning_rate: 1.0000e-05
Epoch 53/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0969 - mae: 0.1999 - val_loss: 0.1995 - val_mae: 0.4434 - learning_rate: 1.0000e-05
Epoch 54/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 30ms/step - loss: 0.0907 - mae: 0.2009 - val_loss: 0.1976 - val_mae: 0.4412 - learning_rate: 1.0000e-05
Epoch 55/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0926 - mae: 0.1989 - val_loss: 0.1956 - val_mae: 0.4389 - learning_rate: 1.0000e-05
Epoch 56/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0846 - mae: 0.1890 - val_loss: 0.1936 - val_mae: 0.4367 - learning_rate: 1.0000e-05
Epoch 57/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0951 - mae: 0.2016 - val_loss: 0.1914 - val_mae: 0.4343 - learning_rate: 1.0000e-05
Epoch 58/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0849 - mae: 0.1892 - val_loss: 0.1894 - val_mae: 0.4320 - learning_rate: 1.0000e-05
Epoch 59/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0981 - mae: 0.2016 - val_loss: 0.1874 - val_mae: 0.4297 - learning_rate: 1.0000e-05
Epoch 60/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0868 - mae: 0.1948 - val_loss: 0.1854 - val_mae: 0.4274 - learning_rate: 1.0000e-05
Epoch 61/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0874 - mae: 0.1948 - val_loss: 0.1834 - val_mae: 0.4251 - learning_rate: 1.0000e-05
Epoch 62/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0811 - mae: 0.1834 - val_loss: 0.1815 - val_mae: 0.4228 - learning_rate: 1.0000e-05
Epoch 63/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0755 - mae: 0.1756 - val_loss: 0.1795 - val_mae: 0.4205 - learning_rate: 1.0000e-05
Epoch 64/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0827 - mae: 0.1823 - val_loss: 0.1775 - val_mae: 0.4181 - learning_rate: 1.0000e-05
Epoch 65/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0863 - mae: 0.1943 - val_loss: 0.1755 - val_mae: 0.4157 - learning_rate: 1.0000e-05
Epoch 66/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0744 - mae: 0.1681 - val_loss: 0.1735 - val_mae: 0.4134 - learning_rate: 1.0000e-05
Epoch 67/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0792 - mae: 0.1836 - val_loss: 0.1715 - val_mae: 0.4109 - learning_rate: 1.0000e-05
Epoch 68/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0830 - mae: 0.1817 - val_loss: 0.1693 - val_mae: 0.4083 - learning_rate: 1.0000e-05
Epoch 69/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0783 - mae: 0.1785 - val_loss: 0.1672 - val_mae: 0.4058 - learning_rate: 1.0000e-05
Epoch 70/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0703 - mae: 0.1698 - val_loss: 0.1652 - val_mae: 0.4033 - learning_rate: 1.0000e-05
Epoch 71/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0823 - mae: 0.1822 - val_loss: 0.1631 - val_mae: 0.4007 - learning_rate: 1.0000e-05
Epoch 72/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0769 - mae: 0.1803 - val_loss: 0.1611 - val_mae: 0.3982 - learning_rate: 1.0000e-05
Epoch 73/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0836 - mae: 0.1879 - val_loss: 0.1591 - val_mae: 0.3957 - learning_rate: 1.0000e-05
Epoch 74/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0734 - mae: 0.1752 - val_loss: 0.1571 - val_mae: 0.3933 - learning_rate: 1.0000e-05
Epoch 75/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0779 - mae: 0.1767 - val_loss: 0.1550 - val_mae: 0.3906 - learning_rate: 1.0000e-05
Epoch 76/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0684 - mae: 0.1700 - val_loss: 0.1530 - val_mae: 0.3880 - learning_rate: 1.0000e-05
Epoch 77/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0734 - mae: 0.1790 - val_loss: 0.1508 - val_mae: 0.3852 - learning_rate: 1.0000e-05
Epoch 78/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0708 - mae: 0.1699 - val_loss: 0.1486 - val_mae: 0.3825 - learning_rate: 1.0000e-05
Epoch 79/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0544 - mae: 0.1502 - val_loss: 0.1466 - val_mae: 0.3798 - learning_rate: 1.0000e-05
Epoch 80/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0846 - mae: 0.1892 - val_loss: 0.1443 - val_mae: 0.3769 - learning_rate: 1.0000e-05
Epoch 81/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0603 - mae: 0.1575 - val_loss: 0.1423 - val_mae: 0.3742 - learning_rate: 1.0000e-05
Epoch 82/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0654 - mae: 0.1621 - val_loss: 0.1403 - val_mae: 0.3716 - learning_rate: 1.0000e-05
Epoch 83/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0621 - mae: 0.1620 - val_loss: 0.1383 - val_mae: 0.3689 - learning_rate: 1.0000e-05
Epoch 84/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0695 - mae: 0.1676 - val_loss: 0.1362 - val_mae: 0.3660 - learning_rate: 1.0000e-05
Epoch 85/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0618 - mae: 0.1600 - val_loss: 0.1341 - val_mae: 0.3633 - learning_rate: 1.0000e-05
Epoch 86/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0662 - mae: 0.1640 - val_loss: 0.1320 - val_mae: 0.3604 - learning_rate: 1.0000e-05
Epoch 87/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0618 - mae: 0.1613 - val_loss: 0.1300 - val_mae: 0.3576 - learning_rate: 1.0000e-05
Epoch 88/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0611 - mae: 0.1567 - val_loss: 0.1279 - val_mae: 0.3547 - learning_rate: 1.0000e-05
Epoch 89/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0657 - mae: 0.1607 - val_loss: 0.1259 - val_mae: 0.3519 - learning_rate: 1.0000e-05
Epoch 90/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0587 - mae: 0.1554 - val_loss: 0.1239 - val_mae: 0.3490 - learning_rate: 1.0000e-05
Epoch 91/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0590 - mae: 0.1560 - val_loss: 0.1218 - val_mae: 0.3461 - learning_rate: 1.0000e-05
Epoch 92/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0545 - mae: 0.1431 - val_loss: 0.1198 - val_mae: 0.3432 - learning_rate: 1.0000e-05
Epoch 93/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0502 - mae: 0.1402 - val_loss: 0.1177 - val_mae: 0.3402 - learning_rate: 1.0000e-05
Epoch 94/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0527 - mae: 0.1457 - val_loss: 0.1156 - val_mae: 0.3371 - learning_rate: 1.0000e-05
Epoch 95/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0583 - mae: 0.1489 - val_loss: 0.1136 - val_mae: 0.3341 - learning_rate: 1.0000e-05
Epoch 96/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0473 - mae: 0.1349 - val_loss: 0.1116 - val_mae: 0.3312 - learning_rate: 1.0000e-05
Epoch 97/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0565 - mae: 0.1478 - val_loss: 0.1097 - val_mae: 0.3283 - learning_rate: 1.0000e-05
Epoch 98/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0535 - mae: 0.1501 - val_loss: 0.1077 - val_mae: 0.3252 - learning_rate: 1.0000e-05
Epoch 99/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0560 - mae: 0.1538 - val_loss: 0.1056 - val_mae: 0.3221 - learning_rate: 1.0000e-05
Epoch 100/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0476 - mae: 0.1335 - val_loss: 0.1037 - val_mae: 0.3191 - learning_rate: 1.0000e-05
Epoch 101/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.0510 - mae: 0.1352 - val_loss: 0.1018 - val_mae: 0.3161 - learning_rate: 1.0000e-05
Epoch 102/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0604 - mae: 0.1549 - val_loss: 0.0996 - val_mae: 0.3128 - learning_rate: 1.0000e-05
Epoch 103/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0534 - mae: 0.1439 - val_loss: 0.0976 - val_mae: 0.3096 - learning_rate: 1.0000e-05
Epoch 104/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0538 - mae: 0.1465 - val_loss: 0.0957 - val_mae: 0.3065 - learning_rate: 1.0000e-05
Epoch 105/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0535 - mae: 0.1472 - val_loss: 0.0937 - val_mae: 0.3033 - learning_rate: 1.0000e-05
Epoch 106/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0434 - mae: 0.1301 - val_loss: 0.0917 - val_mae: 0.3000 - learning_rate: 1.0000e-05
Epoch 107/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0565 - mae: 0.1482 - val_loss: 0.0898 - val_mae: 0.2968 - learning_rate: 1.0000e-05
Epoch 108/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0471 - mae: 0.1344 - val_loss: 0.0879 - val_mae: 0.2936 - learning_rate: 1.0000e-05
Epoch 109/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0466 - mae: 0.1329 - val_loss: 0.0860 - val_mae: 0.2904 - learning_rate: 1.0000e-05
Epoch 110/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0388 - mae: 0.1217 - val_loss: 0.0842 - val_mae: 0.2873 - learning_rate: 1.0000e-05
Epoch 111/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0416 - mae: 0.1253 - val_loss: 0.0823 - val_mae: 0.2841 - learning_rate: 1.0000e-05
Epoch 112/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0453 - mae: 0.1268 - val_loss: 0.0806 - val_mae: 0.2811 - learning_rate: 1.0000e-05
Epoch 113/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0334 - mae: 0.1124 - val_loss: 0.0787 - val_mae: 0.2777 - learning_rate: 1.0000e-05
Epoch 114/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0427 - mae: 0.1297 - val_loss: 0.0768 - val_mae: 0.2743 - learning_rate: 1.0000e-05
Epoch 115/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 43ms/step - loss: 0.0437 - mae: 0.1295 - val_loss: 0.0750 - val_mae: 0.2710 - learning_rate: 1.0000e-05
Epoch 116/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0412 - mae: 0.1287 - val_loss: 0.0732 - val_mae: 0.2677 - learning_rate: 1.0000e-05
Epoch 117/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0399 - mae: 0.1234 - val_loss: 0.0714 - val_mae: 0.2643 - learning_rate: 1.0000e-05
Epoch 118/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0425 - mae: 0.1239 - val_loss: 0.0696 - val_mae: 0.2609 - learning_rate: 1.0000e-05
Epoch 119/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0386 - mae: 0.1207 - val_loss: 0.0678 - val_mae: 0.2574 - learning_rate: 1.0000e-05
Epoch 120/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0360 - mae: 0.1148 - val_loss: 0.0660 - val_mae: 0.2541 - learning_rate: 1.0000e-05
Epoch 121/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0433 - mae: 0.1266 - val_loss: 0.0642 - val_mae: 0.2504 - learning_rate: 1.0000e-05
Epoch 122/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0391 - mae: 0.1229 - val_loss: 0.0624 - val_mae: 0.2469 - learning_rate: 1.0000e-05
Epoch 123/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0381 - mae: 0.1190 - val_loss: 0.0608 - val_mae: 0.2435 - learning_rate: 1.0000e-05
Epoch 124/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0318 - mae: 0.1116 - val_loss: 0.0592 - val_mae: 0.2403 - learning_rate: 1.0000e-05
Epoch 125/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0301 - mae: 0.1049 - val_loss: 0.0576 - val_mae: 0.2371 - learning_rate: 1.0000e-05
Epoch 126/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0282 - mae: 0.1024 - val_loss: 0.0561 - val_mae: 0.2339 - learning_rate: 1.0000e-05
Epoch 127/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0325 - mae: 0.1088 - val_loss: 0.0544 - val_mae: 0.2302 - learning_rate: 1.0000e-05
Epoch 128/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0322 - mae: 0.1043 - val_loss: 0.0528 - val_mae: 0.2267 - learning_rate: 1.0000e-05
Epoch 129/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0366 - mae: 0.1190 - val_loss: 0.0512 - val_mae: 0.2232 - learning_rate: 1.0000e-05
Epoch 130/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0311 - mae: 0.1113 - val_loss: 0.0496 - val_mae: 0.2196 - learning_rate: 1.0000e-05
Epoch 131/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0286 - mae: 0.1053 - val_loss: 0.0481 - val_mae: 0.2162 - learning_rate: 1.0000e-05
Epoch 132/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0282 - mae: 0.1034 - val_loss: 0.0467 - val_mae: 0.2129 - learning_rate: 1.0000e-05
Epoch 133/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0304 - mae: 0.1113 - val_loss: 0.0452 - val_mae: 0.2092 - learning_rate: 1.0000e-05
Epoch 134/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0255 - mae: 0.0985 - val_loss: 0.0437 - val_mae: 0.2058 - learning_rate: 1.0000e-05
Epoch 135/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0302 - mae: 0.1082 - val_loss: 0.0423 - val_mae: 0.2022 - learning_rate: 1.0000e-05
Epoch 136/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0265 - mae: 0.0966 - val_loss: 0.0409 - val_mae: 0.1988 - learning_rate: 1.0000e-05
Epoch 137/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0280 - mae: 0.1015 - val_loss: 0.0395 - val_mae: 0.1952 - learning_rate: 1.0000e-05
Epoch 138/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0329 - mae: 0.1080 - val_loss: 0.0381 - val_mae: 0.1917 - learning_rate: 1.0000e-05
Epoch 139/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0261 - mae: 0.1003 - val_loss: 0.0368 - val_mae: 0.1882 - learning_rate: 1.0000e-05
Epoch 140/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0236 - mae: 0.0958 - val_loss: 0.0355 - val_mae: 0.1846 - learning_rate: 1.0000e-05
Epoch 141/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0236 - mae: 0.0939 - val_loss: 0.0342 - val_mae: 0.1812 - learning_rate: 1.0000e-05
Epoch 142/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0262 - mae: 0.1003 - val_loss: 0.0329 - val_mae: 0.1777 - learning_rate: 1.0000e-05
Epoch 143/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0264 - mae: 0.0966 - val_loss: 0.0317 - val_mae: 0.1742 - learning_rate: 1.0000e-05
Epoch 144/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0244 - mae: 0.1002 - val_loss: 0.0305 - val_mae: 0.1707 - learning_rate: 1.0000e-05
Epoch 145/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0249 - mae: 0.0980 - val_loss: 0.0294 - val_mae: 0.1674 - learning_rate: 1.0000e-05
Epoch 146/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0221 - mae: 0.0927 - val_loss: 0.0283 - val_mae: 0.1641 - learning_rate: 1.0000e-05
Epoch 147/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0202 - mae: 0.0915 - val_loss: 0.0273 - val_mae: 0.1609 - learning_rate: 1.0000e-05
Epoch 148/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.0203 - mae: 0.0904 - val_loss: 0.0262 - val_mae: 0.1576 - learning_rate: 1.0000e-05
Epoch 149/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0205 - mae: 0.0880 - val_loss: 0.0253 - val_mae: 0.1546 - learning_rate: 1.0000e-05
Epoch 150/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0150 - mae: 0.0802 - val_loss: 0.0244 - val_mae: 0.1518 - learning_rate: 1.0000e-05
Epoch 151/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0170 - mae: 0.0859 - val_loss: 0.0235 - val_mae: 0.1488 - learning_rate: 1.0000e-05
Epoch 152/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0221 - mae: 0.0993 - val_loss: 0.0225 - val_mae: 0.1455 - learning_rate: 1.0000e-05
Epoch 153/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0166 - mae: 0.0843 - val_loss: 0.0217 - val_mae: 0.1425 - learning_rate: 1.0000e-05
Epoch 154/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0247 - mae: 0.1001 - val_loss: 0.0208 - val_mae: 0.1395 - learning_rate: 1.0000e-05
Epoch 155/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0206 - mae: 0.0950 - val_loss: 0.0199 - val_mae: 0.1364 - learning_rate: 1.0000e-05
Epoch 156/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0205 - mae: 0.0894 - val_loss: 0.0191 - val_mae: 0.1334 - learning_rate: 1.0000e-05
Epoch 157/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0180 - mae: 0.0877 - val_loss: 0.0183 - val_mae: 0.1304 - learning_rate: 1.0000e-05
Epoch 158/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0179 - mae: 0.0828 - val_loss: 0.0176 - val_mae: 0.1278 - learning_rate: 1.0000e-05
Epoch 159/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0127 - mae: 0.0770 - val_loss: 0.0168 - val_mae: 0.1249 - learning_rate: 1.0000e-05
Epoch 160/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0191 - mae: 0.0865 - val_loss: 0.0162 - val_mae: 0.1222 - learning_rate: 1.0000e-05
Epoch 161/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0182 - mae: 0.0862 - val_loss: 0.0154 - val_mae: 0.1192 - learning_rate: 1.0000e-05
Epoch 162/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0128 - mae: 0.0789 - val_loss: 0.0148 - val_mae: 0.1163 - learning_rate: 1.0000e-05
Epoch 163/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0136 - mae: 0.0810 - val_loss: 0.0142 - val_mae: 0.1138 - learning_rate: 1.0000e-05
Epoch 164/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0201 - mae: 0.0890 - val_loss: 0.0135 - val_mae: 0.1109 - learning_rate: 1.0000e-05
Epoch 165/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0164 - mae: 0.0865 - val_loss: 0.0129 - val_mae: 0.1083 - learning_rate: 1.0000e-05
Epoch 166/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step - loss: 0.0108 - mae: 0.0736 - val_loss: 0.0125 - val_mae: 0.1061 - learning_rate: 1.0000e-05
Epoch 167/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0129 - mae: 0.0792 - val_loss: 0.0119 - val_mae: 0.1036 - learning_rate: 1.0000e-05
Epoch 168/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0132 - mae: 0.0777 - val_loss: 0.0115 - val_mae: 0.1012 - learning_rate: 1.0000e-05
Epoch 169/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0186 - mae: 0.0894 - val_loss: 0.0109 - val_mae: 0.0985 - learning_rate: 1.0000e-05
Epoch 170/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0162 - mae: 0.0840 - val_loss: 0.0105 - val_mae: 0.0963 - learning_rate: 1.0000e-05
Epoch 171/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0145 - mae: 0.0813 - val_loss: 0.0100 - val_mae: 0.0940 - learning_rate: 1.0000e-05
Epoch 172/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0173 - mae: 0.0880 - val_loss: 0.0096 - val_mae: 0.0917 - learning_rate: 1.0000e-05
Epoch 173/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0148 - mae: 0.0768 - val_loss: 0.0092 - val_mae: 0.0893 - learning_rate: 1.0000e-05
Epoch 174/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0125 - mae: 0.0753 - val_loss: 0.0088 - val_mae: 0.0872 - learning_rate: 1.0000e-05
Epoch 175/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0137 - mae: 0.0798 - val_loss: 0.0084 - val_mae: 0.0848 - learning_rate: 1.0000e-05
Epoch 176/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0112 - mae: 0.0726 - val_loss: 0.0081 - val_mae: 0.0831 - learning_rate: 1.0000e-05
Epoch 177/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0124 - mae: 0.0758 - val_loss: 0.0078 - val_mae: 0.0812 - learning_rate: 1.0000e-05
Epoch 178/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.0115 - mae: 0.0759 - val_loss: 0.0075 - val_mae: 0.0794 - learning_rate: 1.0000e-05
Epoch 179/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0130 - mae: 0.0775 - val_loss: 0.0071 - val_mae: 0.0772 - learning_rate: 1.0000e-05
Epoch 180/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0151 - mae: 0.0851 - val_loss: 0.0068 - val_mae: 0.0753 - learning_rate: 1.0000e-05
Epoch 181/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0131 - mae: 0.0782 - val_loss: 0.0066 - val_mae: 0.0734 - learning_rate: 1.0000e-05
Epoch 182/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0118 - mae: 0.0778 - val_loss: 0.0063 - val_mae: 0.0716 - learning_rate: 1.0000e-05
Epoch 183/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0129 - mae: 0.0794 - val_loss: 0.0060 - val_mae: 0.0697 - learning_rate: 1.0000e-05
Epoch 184/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0092 - mae: 0.0678 - val_loss: 0.0059 - val_mae: 0.0684 - learning_rate: 1.0000e-05
Epoch 185/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0124 - mae: 0.0779 - val_loss: 0.0057 - val_mae: 0.0668 - learning_rate: 1.0000e-05
Epoch 186/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0127 - mae: 0.0828 - val_loss: 0.0055 - val_mae: 0.0652 - learning_rate: 1.0000e-05
Epoch 187/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0141 - mae: 0.0814 - val_loss: 0.0053 - val_mae: 0.0638 - learning_rate: 1.0000e-05
Epoch 188/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0142 - mae: 0.0836 - val_loss: 0.0051 - val_mae: 0.0626 - learning_rate: 1.0000e-05
Epoch 189/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0133 - mae: 0.0787 - val_loss: 0.0050 - val_mae: 0.0617 - learning_rate: 1.0000e-05
Epoch 190/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0123 - mae: 0.0790 - val_loss: 0.0049 - val_mae: 0.0606 - learning_rate: 1.0000e-05
Epoch 191/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0134 - mae: 0.0811 - val_loss: 0.0047 - val_mae: 0.0594 - learning_rate: 1.0000e-05
Epoch 192/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0105 - mae: 0.0762 - val_loss: 0.0046 - val_mae: 0.0582 - learning_rate: 1.0000e-05
Epoch 193/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0104 - mae: 0.0712 - val_loss: 0.0044 - val_mae: 0.0572 - learning_rate: 1.0000e-05
Epoch 194/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0127 - mae: 0.0791 - val_loss: 0.0043 - val_mae: 0.0562 - learning_rate: 1.0000e-05
Epoch 195/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0106 - mae: 0.0726 - val_loss: 0.0042 - val_mae: 0.0556 - learning_rate: 1.0000e-05
Epoch 196/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0099 - mae: 0.0727 - val_loss: 0.0042 - val_mae: 0.0551 - learning_rate: 1.0000e-05
Epoch 197/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0090 - mae: 0.0704 - val_loss: 0.0042 - val_mae: 0.0549 - learning_rate: 1.0000e-05
Epoch 198/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0114 - mae: 0.0750 - val_loss: 0.0041 - val_mae: 0.0545 - learning_rate: 1.0000e-05
Epoch 199/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0114 - mae: 0.0790 - val_loss: 0.0041 - val_mae: 0.0540 - learning_rate: 1.0000e-05
Epoch 200/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0126 - mae: 0.0786 - val_loss: 0.0040 - val_mae: 0.0532 - learning_rate: 1.0000e-05
Epoch 201/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0147 - mae: 0.0843 - val_loss: 0.0039 - val_mae: 0.0527 - learning_rate: 1.0000e-05
Epoch 202/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0124 - mae: 0.0776 - val_loss: 0.0039 - val_mae: 0.0523 - learning_rate: 1.0000e-05
Epoch 203/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0099 - mae: 0.0751 - val_loss: 0.0038 - val_mae: 0.0521 - learning_rate: 1.0000e-05
Epoch 204/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 34ms/step - loss: 0.0091 - mae: 0.0685 - val_loss: 0.0038 - val_mae: 0.0519 - learning_rate: 1.0000e-05
Epoch 205/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.0107 - mae: 0.0769 - val_loss: 0.0038 - val_mae: 0.0517 - learning_rate: 1.0000e-05
Epoch 206/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0102 - mae: 0.0725 - val_loss: 0.0038 - val_mae: 0.0516 - learning_rate: 1.0000e-05
Epoch 207/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 23ms/step - loss: 0.0131 - mae: 0.0795 - val_loss: 0.0038 - val_mae: 0.0514 - learning_rate: 5.0000e-06
Epoch 208/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0105 - mae: 0.0750 - val_loss: 0.0037 - val_mae: 0.0513 - learning_rate: 5.0000e-06
Epoch 209/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0109 - mae: 0.0750 - val_loss: 0.0037 - val_mae: 0.0511 - learning_rate: 5.0000e-06
Epoch 210/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0101 - mae: 0.0687 - val_loss: 0.0037 - val_mae: 0.0509 - learning_rate: 5.0000e-06
Epoch 211/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0136 - mae: 0.0793 - val_loss: 0.0037 - val_mae: 0.0507 - learning_rate: 5.0000e-06
Epoch 212/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step - loss: 0.0131 - mae: 0.0770 - val_loss: 0.0037 - val_mae: 0.0505 - learning_rate: 5.0000e-06
Epoch 213/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0084 - mae: 0.0658 - val_loss: 0.0037 - val_mae: 0.0504 - learning_rate: 2.5000e-06
Epoch 214/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0096 - mae: 0.0703 - val_loss: 0.0037 - val_mae: 0.0503 - learning_rate: 2.5000e-06
Epoch 215/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0105 - mae: 0.0742 - val_loss: 0.0036 - val_mae: 0.0502 - learning_rate: 2.5000e-06
Epoch 216/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0109 - mae: 0.0737 - val_loss: 0.0036 - val_mae: 0.0502 - learning_rate: 1.2500e-06
Epoch 217/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0113 - mae: 0.0758 - val_loss: 0.0036 - val_mae: 0.0502 - learning_rate: 1.2500e-06
Epoch 218/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0104 - mae: 0.0763 - val_loss: 0.0036 - val_mae: 0.0502 - learning_rate: 1.2500e-06
Epoch 219/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0099 - mae: 0.0709 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 6.2500e-07
Epoch 220/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0136 - mae: 0.0809 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 6.2500e-07
Epoch 221/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0107 - mae: 0.0758 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 6.2500e-07
Epoch 222/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0137 - mae: 0.0847 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 6.2500e-07
Epoch 223/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 21ms/step - loss: 0.0104 - mae: 0.0740 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 6.2500e-07
Epoch 224/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0098 - mae: 0.0712 - val_loss: 0.0036 - val_mae: 0.0501 - learning_rate: 3.1250e-07
Epoch 225/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 29ms/step - loss: 0.0113 - mae: 0.0752 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.1250e-07
Epoch 226/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0116 - mae: 0.0747 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.1250e-07
Epoch 227/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0113 - mae: 0.0703 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.5625e-07
Epoch 228/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0098 - mae: 0.0743 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.5625e-07
Epoch 229/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0109 - mae: 0.0761 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.5625e-07
Epoch 230/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0085 - mae: 0.0696 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 7.8125e-08
Epoch 231/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0120 - mae: 0.0773 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 7.8125e-08
Epoch 232/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.0099 - mae: 0.0693 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 7.8125e-08
Epoch 233/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 28ms/step - loss: 0.0149 - mae: 0.0825 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.9062e-08
Epoch 234/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step - loss: 0.0091 - mae: 0.0667 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.9062e-08
Epoch 235/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0114 - mae: 0.0760 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.9062e-08
Epoch 236/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step - loss: 0.0115 - mae: 0.0746 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.9531e-08
Epoch 237/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0108 - mae: 0.0713 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.9531e-08
Epoch 238/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 0s 26ms/step - loss: 0.0129 - mae: 0.0786 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.9531e-08
Epoch 239/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 2s 157ms/step - loss: 0.0120 - mae: 0.0785 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 9.7656e-09
Epoch 240/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0115 - mae: 0.0737 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 9.7656e-09
Epoch 241/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0114 - mae: 0.0764 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 9.7656e-09
Epoch 242/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0099 - mae: 0.0729 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 4.8828e-09
Epoch 243/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0135 - mae: 0.0762 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 4.8828e-09
Epoch 244/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0112 - mae: 0.0717 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 4.8828e-09
Epoch 245/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.0104 - mae: 0.0746 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 2.4414e-09
Epoch 246/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 3s 176ms/step - loss: 0.0125 - mae: 0.0786 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 2.4414e-09
Epoch 247/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0106 - mae: 0.0735 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 2.4414e-09
Epoch 248/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0132 - mae: 0.0817 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.2207e-09
Epoch 249/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 2s 217ms/step - loss: 0.0116 - mae: 0.0742 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.2207e-09
Epoch 250/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0136 - mae: 0.0781 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 1.2207e-09
Epoch 251/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.0102 - mae: 0.0734 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 6.1035e-10
Epoch 252/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0127 - mae: 0.0754 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 6.1035e-10
Epoch 253/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0125 - mae: 0.0755 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 6.1035e-10
Epoch 254/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0122 - mae: 0.0773 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.0518e-10
Epoch 255/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 2s 184ms/step - loss: 0.0125 - mae: 0.0793 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.0518e-10
Epoch 256/1000
11/11 ━━━━━━━━━━━━━━━━━━━━ 2s 126ms/step - loss: 0.0086 - mae: 0.0686 - val_loss: 0.0036 - val_mae: 0.0500 - learning_rate: 3.0518e-10
1/5 ━━━━━━━━━━━━━━━━━━━━ 5s 1s/stepWARNING:tensorflow:5 out of the last 3486 calls to <function TensorFlowTrainer.make_predict_function.<locals>.one_step_on_data_distributed at 0x000001F55AE76E80> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
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5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 14ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 15ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
Regression Metrics:
  MSE: 3163749.9835
  MAE: 1514.6583
  RMSE: 1778.6933
  R2 Score: 0.3504
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002566 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001684 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002640 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003131 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001746 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002566 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003303 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001362 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002518 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.009682 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001687 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001878 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003255 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002260 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003456 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004998 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001888 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002200 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003861 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001126 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002576 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003165 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001535 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002394 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002896 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001674 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002403 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003779 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001696 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.004618 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003180 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.004213 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001961 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007922 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002272 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002857 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003215 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001689 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003756 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002983 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001707 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002553 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002561 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002305 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002322 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003985 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001599 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.004868 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003379 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001661 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003446 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002740 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001700 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.002522 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003064 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000753 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000586 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 3071
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.366667
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000745 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2978
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.321217
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002171 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2882
[LightGBM] [Info] Number of data points in the train set: 224, number of used features: 90
[LightGBM] [Info] Start training from score 0.143496
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001930 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 4340
[LightGBM] [Info] Number of data points in the train set: 336, number of used features: 90
[LightGBM] [Info] Start training from score 0.277127
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Regression Metrics:
  MSE: 2243672.1523
  MAE: 1263.7488
  RMSE: 1497.8892
  R2 Score: 0.5393
Regression Metrics:
  MSE: 6075117.9263
  MAE: 2052.8987
  RMSE: 2464.7754
  R2 Score: -0.2474
In [38]:
model_re_fpt, x_scaler_re_fpt, y_scaler_re_fpt, prob_pred_re_fpt, metrics_re_fpt, importance_re_fpt = run_all_models(
    regressor_fpt,
    'regression',
    build_lstm_model=build_lstm_model,
    fine_tune_lstm_model=fine_tune_lstm_model,
    evaluate_model=evaluate_model,
    ticker='FPT'
)

Epoch 1/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 12s 323ms/step - loss: 0.2158 - mae: 0.3794 - val_loss: 1.0270 - val_mae: 1.0095 - learning_rate: 1.0000e-05
Epoch 2/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.2558 - mae: 0.4184 - val_loss: 1.0217 - val_mae: 1.0069 - learning_rate: 1.0000e-05
Epoch 3/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 118ms/step - loss: 0.2318 - mae: 0.3907 - val_loss: 1.0166 - val_mae: 1.0044 - learning_rate: 1.0000e-05
Epoch 4/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.2136 - mae: 0.3740 - val_loss: 1.0114 - val_mae: 1.0017 - learning_rate: 1.0000e-05
Epoch 5/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.2302 - mae: 0.3909 - val_loss: 1.0057 - val_mae: 0.9989 - learning_rate: 1.0000e-05
Epoch 6/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.2130 - mae: 0.3744 - val_loss: 1.0001 - val_mae: 0.9961 - learning_rate: 1.0000e-05
Epoch 7/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 102ms/step - loss: 0.2105 - mae: 0.3669 - val_loss: 0.9945 - val_mae: 0.9933 - learning_rate: 1.0000e-05
Epoch 8/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.2201 - mae: 0.3772 - val_loss: 0.9886 - val_mae: 0.9903 - learning_rate: 1.0000e-05
Epoch 9/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.2120 - mae: 0.3654 - val_loss: 0.9825 - val_mae: 0.9872 - learning_rate: 1.0000e-05
Epoch 10/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 113ms/step - loss: 0.2117 - mae: 0.3696 - val_loss: 0.9763 - val_mae: 0.9840 - learning_rate: 1.0000e-05
Epoch 11/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.2079 - mae: 0.3677 - val_loss: 0.9702 - val_mae: 0.9809 - learning_rate: 1.0000e-05
Epoch 12/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.1941 - mae: 0.3464 - val_loss: 0.9640 - val_mae: 0.9777 - learning_rate: 1.0000e-05
Epoch 13/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.2239 - mae: 0.3817 - val_loss: 0.9576 - val_mae: 0.9744 - learning_rate: 1.0000e-05
Epoch 14/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 110ms/step - loss: 0.2047 - mae: 0.3604 - val_loss: 0.9512 - val_mae: 0.9712 - learning_rate: 1.0000e-05
Epoch 15/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.1998 - mae: 0.3538 - val_loss: 0.9446 - val_mae: 0.9678 - learning_rate: 1.0000e-05
Epoch 16/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1979 - mae: 0.3517 - val_loss: 0.9379 - val_mae: 0.9643 - learning_rate: 1.0000e-05
Epoch 17/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.1750 - mae: 0.3301 - val_loss: 0.9312 - val_mae: 0.9608 - learning_rate: 1.0000e-05
Epoch 18/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.2050 - mae: 0.3623 - val_loss: 0.9241 - val_mae: 0.9571 - learning_rate: 1.0000e-05
Epoch 19/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.1937 - mae: 0.3528 - val_loss: 0.9170 - val_mae: 0.9534 - learning_rate: 1.0000e-05
Epoch 20/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.1549 - mae: 0.3067 - val_loss: 0.9102 - val_mae: 0.9498 - learning_rate: 1.0000e-05
Epoch 21/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - loss: 0.1954 - mae: 0.3498 - val_loss: 0.9029 - val_mae: 0.9460 - learning_rate: 1.0000e-05
Epoch 22/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.1752 - mae: 0.3257 - val_loss: 0.8960 - val_mae: 0.9423 - learning_rate: 1.0000e-05
Epoch 23/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 52ms/step - loss: 0.1778 - mae: 0.3290 - val_loss: 0.8889 - val_mae: 0.9385 - learning_rate: 1.0000e-05
Epoch 24/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 118ms/step - loss: 0.1770 - mae: 0.3293 - val_loss: 0.8820 - val_mae: 0.9348 - learning_rate: 1.0000e-05
Epoch 25/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 109ms/step - loss: 0.1585 - mae: 0.3102 - val_loss: 0.8750 - val_mae: 0.9311 - learning_rate: 1.0000e-05
Epoch 26/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.1734 - mae: 0.3269 - val_loss: 0.8680 - val_mae: 0.9273 - learning_rate: 1.0000e-05
Epoch 27/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.1593 - mae: 0.3098 - val_loss: 0.8612 - val_mae: 0.9237 - learning_rate: 1.0000e-05
Epoch 28/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.1693 - mae: 0.3201 - val_loss: 0.8541 - val_mae: 0.9199 - learning_rate: 1.0000e-05
Epoch 29/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.1507 - mae: 0.2964 - val_loss: 0.8473 - val_mae: 0.9161 - learning_rate: 1.0000e-05
Epoch 30/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 48ms/step - loss: 0.1457 - mae: 0.2907 - val_loss: 0.8404 - val_mae: 0.9124 - learning_rate: 1.0000e-05
Epoch 31/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.1543 - mae: 0.2955 - val_loss: 0.8334 - val_mae: 0.9085 - learning_rate: 1.0000e-05
Epoch 32/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.1545 - mae: 0.2971 - val_loss: 0.8266 - val_mae: 0.9048 - learning_rate: 1.0000e-05
Epoch 33/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.1421 - mae: 0.2846 - val_loss: 0.8200 - val_mae: 0.9011 - learning_rate: 1.0000e-05
Epoch 34/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.1168 - mae: 0.2541 - val_loss: 0.8134 - val_mae: 0.8975 - learning_rate: 1.0000e-05
Epoch 35/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.1401 - mae: 0.2812 - val_loss: 0.8065 - val_mae: 0.8936 - learning_rate: 1.0000e-05
Epoch 36/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 118ms/step - loss: 0.1357 - mae: 0.2743 - val_loss: 0.7996 - val_mae: 0.8897 - learning_rate: 1.0000e-05
Epoch 37/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.1461 - mae: 0.2865 - val_loss: 0.7927 - val_mae: 0.8859 - learning_rate: 1.0000e-05
Epoch 38/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.1388 - mae: 0.2750 - val_loss: 0.7859 - val_mae: 0.8821 - learning_rate: 1.0000e-05
Epoch 39/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 115ms/step - loss: 0.1378 - mae: 0.2735 - val_loss: 0.7793 - val_mae: 0.8783 - learning_rate: 1.0000e-05
Epoch 40/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.1502 - mae: 0.2869 - val_loss: 0.7725 - val_mae: 0.8744 - learning_rate: 1.0000e-05
Epoch 41/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.1324 - mae: 0.2685 - val_loss: 0.7659 - val_mae: 0.8706 - learning_rate: 1.0000e-05
Epoch 42/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.1165 - mae: 0.2523 - val_loss: 0.7594 - val_mae: 0.8669 - learning_rate: 1.0000e-05
Epoch 43/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.1299 - mae: 0.2664 - val_loss: 0.7527 - val_mae: 0.8630 - learning_rate: 1.0000e-05
Epoch 44/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.1148 - mae: 0.2406 - val_loss: 0.7463 - val_mae: 0.8593 - learning_rate: 1.0000e-05
Epoch 45/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1319 - mae: 0.2656 - val_loss: 0.7397 - val_mae: 0.8555 - learning_rate: 1.0000e-05
Epoch 46/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 95ms/step - loss: 0.1122 - mae: 0.2444 - val_loss: 0.7333 - val_mae: 0.8517 - learning_rate: 1.0000e-05
Epoch 47/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - loss: 0.1346 - mae: 0.2701 - val_loss: 0.7265 - val_mae: 0.8477 - learning_rate: 1.0000e-05
Epoch 48/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.1171 - mae: 0.2415 - val_loss: 0.7201 - val_mae: 0.8440 - learning_rate: 1.0000e-05
Epoch 49/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 2s 106ms/step - loss: 0.1215 - mae: 0.2486 - val_loss: 0.7135 - val_mae: 0.8400 - learning_rate: 1.0000e-05
Epoch 50/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0999 - mae: 0.2241 - val_loss: 0.7073 - val_mae: 0.8363 - learning_rate: 1.0000e-05
Epoch 51/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0963 - mae: 0.2243 - val_loss: 0.7008 - val_mae: 0.8324 - learning_rate: 1.0000e-05
Epoch 52/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.1086 - mae: 0.2288 - val_loss: 0.6943 - val_mae: 0.8286 - learning_rate: 1.0000e-05
Epoch 53/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.1070 - mae: 0.2307 - val_loss: 0.6881 - val_mae: 0.8248 - learning_rate: 1.0000e-05
Epoch 54/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.1032 - mae: 0.2238 - val_loss: 0.6816 - val_mae: 0.8208 - learning_rate: 1.0000e-05
Epoch 55/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.1103 - mae: 0.2381 - val_loss: 0.6751 - val_mae: 0.8169 - learning_rate: 1.0000e-05
Epoch 56/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.1065 - mae: 0.2367 - val_loss: 0.6689 - val_mae: 0.8131 - learning_rate: 1.0000e-05
Epoch 57/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.1089 - mae: 0.2278 - val_loss: 0.6625 - val_mae: 0.8091 - learning_rate: 1.0000e-05
Epoch 58/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0997 - mae: 0.2234 - val_loss: 0.6562 - val_mae: 0.8052 - learning_rate: 1.0000e-05
Epoch 59/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0965 - mae: 0.2165 - val_loss: 0.6500 - val_mae: 0.8013 - learning_rate: 1.0000e-05
Epoch 60/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0934 - mae: 0.2137 - val_loss: 0.6438 - val_mae: 0.7975 - learning_rate: 1.0000e-05
Epoch 61/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0930 - mae: 0.2150 - val_loss: 0.6377 - val_mae: 0.7936 - learning_rate: 1.0000e-05
Epoch 62/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step - loss: 0.1090 - mae: 0.2371 - val_loss: 0.6314 - val_mae: 0.7897 - learning_rate: 1.0000e-05
Epoch 63/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 50ms/step - loss: 0.1012 - mae: 0.2220 - val_loss: 0.6253 - val_mae: 0.7858 - learning_rate: 1.0000e-05
Epoch 64/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.1036 - mae: 0.2318 - val_loss: 0.6191 - val_mae: 0.7818 - learning_rate: 1.0000e-05
Epoch 65/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0906 - mae: 0.2101 - val_loss: 0.6133 - val_mae: 0.7781 - learning_rate: 1.0000e-05
Epoch 66/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0855 - mae: 0.2059 - val_loss: 0.6074 - val_mae: 0.7743 - learning_rate: 1.0000e-05
Epoch 67/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.1023 - mae: 0.2301 - val_loss: 0.6013 - val_mae: 0.7704 - learning_rate: 1.0000e-05
Epoch 68/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0829 - mae: 0.2030 - val_loss: 0.5955 - val_mae: 0.7666 - learning_rate: 1.0000e-05
Epoch 69/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0783 - mae: 0.1924 - val_loss: 0.5898 - val_mae: 0.7628 - learning_rate: 1.0000e-05
Epoch 70/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0838 - mae: 0.2089 - val_loss: 0.5839 - val_mae: 0.7590 - learning_rate: 1.0000e-05
Epoch 71/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0763 - mae: 0.1929 - val_loss: 0.5783 - val_mae: 0.7553 - learning_rate: 1.0000e-05
Epoch 72/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.0721 - mae: 0.1877 - val_loss: 0.5727 - val_mae: 0.7516 - learning_rate: 1.0000e-05
Epoch 73/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0746 - mae: 0.1942 - val_loss: 0.5671 - val_mae: 0.7478 - learning_rate: 1.0000e-05
Epoch 74/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0771 - mae: 0.1982 - val_loss: 0.5614 - val_mae: 0.7440 - learning_rate: 1.0000e-05
Epoch 75/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0746 - mae: 0.1952 - val_loss: 0.5558 - val_mae: 0.7403 - learning_rate: 1.0000e-05
Epoch 76/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0918 - mae: 0.2208 - val_loss: 0.5501 - val_mae: 0.7364 - learning_rate: 1.0000e-05
Epoch 77/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0745 - mae: 0.1994 - val_loss: 0.5449 - val_mae: 0.7329 - learning_rate: 1.0000e-05
Epoch 78/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0712 - mae: 0.1852 - val_loss: 0.5395 - val_mae: 0.7292 - learning_rate: 1.0000e-05
Epoch 79/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0783 - mae: 0.1999 - val_loss: 0.5342 - val_mae: 0.7255 - learning_rate: 1.0000e-05
Epoch 80/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0800 - mae: 0.2058 - val_loss: 0.5287 - val_mae: 0.7218 - learning_rate: 1.0000e-05
Epoch 81/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0789 - mae: 0.2051 - val_loss: 0.5234 - val_mae: 0.7180 - learning_rate: 1.0000e-05
Epoch 82/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 90ms/step - loss: 0.0708 - mae: 0.1855 - val_loss: 0.5184 - val_mae: 0.7146 - learning_rate: 1.0000e-05
Epoch 83/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0785 - mae: 0.2065 - val_loss: 0.5134 - val_mae: 0.7111 - learning_rate: 1.0000e-05
Epoch 84/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0668 - mae: 0.1872 - val_loss: 0.5085 - val_mae: 0.7076 - learning_rate: 1.0000e-05
Epoch 85/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0684 - mae: 0.1874 - val_loss: 0.5037 - val_mae: 0.7042 - learning_rate: 1.0000e-05
Epoch 86/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0632 - mae: 0.1801 - val_loss: 0.4987 - val_mae: 0.7006 - learning_rate: 1.0000e-05
Epoch 87/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.0747 - mae: 0.2019 - val_loss: 0.4938 - val_mae: 0.6971 - learning_rate: 1.0000e-05
Epoch 88/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0640 - mae: 0.1844 - val_loss: 0.4890 - val_mae: 0.6937 - learning_rate: 1.0000e-05
Epoch 89/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0667 - mae: 0.1869 - val_loss: 0.4844 - val_mae: 0.6903 - learning_rate: 1.0000e-05
Epoch 90/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0643 - mae: 0.1894 - val_loss: 0.4798 - val_mae: 0.6870 - learning_rate: 1.0000e-05
Epoch 91/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0623 - mae: 0.1870 - val_loss: 0.4751 - val_mae: 0.6836 - learning_rate: 1.0000e-05
Epoch 92/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0706 - mae: 0.1945 - val_loss: 0.4704 - val_mae: 0.6801 - learning_rate: 1.0000e-05
Epoch 93/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0638 - mae: 0.1865 - val_loss: 0.4659 - val_mae: 0.6769 - learning_rate: 1.0000e-05
Epoch 94/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 103ms/step - loss: 0.0600 - mae: 0.1788 - val_loss: 0.4615 - val_mae: 0.6736 - learning_rate: 1.0000e-05
Epoch 95/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0730 - mae: 0.1986 - val_loss: 0.4571 - val_mae: 0.6703 - learning_rate: 1.0000e-05
Epoch 96/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0618 - mae: 0.1858 - val_loss: 0.4527 - val_mae: 0.6670 - learning_rate: 1.0000e-05
Epoch 97/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 110ms/step - loss: 0.0549 - mae: 0.1755 - val_loss: 0.4484 - val_mae: 0.6638 - learning_rate: 1.0000e-05
Epoch 98/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0588 - mae: 0.1803 - val_loss: 0.4443 - val_mae: 0.6607 - learning_rate: 1.0000e-05
Epoch 99/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0580 - mae: 0.1821 - val_loss: 0.4403 - val_mae: 0.6577 - learning_rate: 1.0000e-05
Epoch 100/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0592 - mae: 0.1820 - val_loss: 0.4364 - val_mae: 0.6547 - learning_rate: 1.0000e-05
Epoch 101/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.0528 - mae: 0.1709 - val_loss: 0.4321 - val_mae: 0.6514 - learning_rate: 1.0000e-05
Epoch 102/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0687 - mae: 0.1955 - val_loss: 0.4279 - val_mae: 0.6482 - learning_rate: 1.0000e-05
Epoch 103/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0689 - mae: 0.1992 - val_loss: 0.4238 - val_mae: 0.6450 - learning_rate: 1.0000e-05
Epoch 104/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.0606 - mae: 0.1841 - val_loss: 0.4202 - val_mae: 0.6422 - learning_rate: 1.0000e-05
Epoch 105/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0557 - mae: 0.1738 - val_loss: 0.4164 - val_mae: 0.6393 - learning_rate: 1.0000e-05
Epoch 106/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0557 - mae: 0.1798 - val_loss: 0.4125 - val_mae: 0.6362 - learning_rate: 1.0000e-05
Epoch 107/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.0565 - mae: 0.1784 - val_loss: 0.4085 - val_mae: 0.6330 - learning_rate: 1.0000e-05
Epoch 108/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 110ms/step - loss: 0.0485 - mae: 0.1683 - val_loss: 0.4048 - val_mae: 0.6301 - learning_rate: 1.0000e-05
Epoch 109/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0509 - mae: 0.1734 - val_loss: 0.4009 - val_mae: 0.6270 - learning_rate: 1.0000e-05
Epoch 110/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0542 - mae: 0.1774 - val_loss: 0.3973 - val_mae: 0.6241 - learning_rate: 1.0000e-05
Epoch 111/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0534 - mae: 0.1733 - val_loss: 0.3934 - val_mae: 0.6210 - learning_rate: 1.0000e-05
Epoch 112/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0471 - mae: 0.1649 - val_loss: 0.3897 - val_mae: 0.6180 - learning_rate: 1.0000e-05
Epoch 113/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0456 - mae: 0.1651 - val_loss: 0.3861 - val_mae: 0.6151 - learning_rate: 1.0000e-05
Epoch 114/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0494 - mae: 0.1664 - val_loss: 0.3823 - val_mae: 0.6120 - learning_rate: 1.0000e-05
Epoch 115/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.0540 - mae: 0.1766 - val_loss: 0.3785 - val_mae: 0.6089 - learning_rate: 1.0000e-05
Epoch 116/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0556 - mae: 0.1769 - val_loss: 0.3748 - val_mae: 0.6058 - learning_rate: 1.0000e-05
Epoch 117/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0429 - mae: 0.1557 - val_loss: 0.3712 - val_mae: 0.6029 - learning_rate: 1.0000e-05
Epoch 118/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 98ms/step - loss: 0.0488 - mae: 0.1697 - val_loss: 0.3673 - val_mae: 0.5996 - learning_rate: 1.0000e-05
Epoch 119/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0554 - mae: 0.1836 - val_loss: 0.3635 - val_mae: 0.5964 - learning_rate: 1.0000e-05
Epoch 120/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0500 - mae: 0.1618 - val_loss: 0.3598 - val_mae: 0.5933 - learning_rate: 1.0000e-05
Epoch 121/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0520 - mae: 0.1750 - val_loss: 0.3561 - val_mae: 0.5902 - learning_rate: 1.0000e-05
Epoch 122/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0455 - mae: 0.1638 - val_loss: 0.3527 - val_mae: 0.5873 - learning_rate: 1.0000e-05
Epoch 123/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0502 - mae: 0.1720 - val_loss: 0.3497 - val_mae: 0.5847 - learning_rate: 1.0000e-05
Epoch 124/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0518 - mae: 0.1745 - val_loss: 0.3465 - val_mae: 0.5820 - learning_rate: 1.0000e-05
Epoch 125/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0426 - mae: 0.1581 - val_loss: 0.3433 - val_mae: 0.5793 - learning_rate: 1.0000e-05
Epoch 126/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0502 - mae: 0.1661 - val_loss: 0.3400 - val_mae: 0.5763 - learning_rate: 1.0000e-05
Epoch 127/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0406 - mae: 0.1566 - val_loss: 0.3370 - val_mae: 0.5738 - learning_rate: 1.0000e-05
Epoch 128/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0455 - mae: 0.1632 - val_loss: 0.3336 - val_mae: 0.5708 - learning_rate: 1.0000e-05
Epoch 129/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0476 - mae: 0.1646 - val_loss: 0.3301 - val_mae: 0.5677 - learning_rate: 1.0000e-05
Epoch 130/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 105ms/step - loss: 0.0345 - mae: 0.1451 - val_loss: 0.3270 - val_mae: 0.5650 - learning_rate: 1.0000e-05
Epoch 131/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0467 - mae: 0.1657 - val_loss: 0.3236 - val_mae: 0.5620 - learning_rate: 1.0000e-05
Epoch 132/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 47ms/step - loss: 0.0354 - mae: 0.1428 - val_loss: 0.3206 - val_mae: 0.5593 - learning_rate: 1.0000e-05
Epoch 133/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0413 - mae: 0.1520 - val_loss: 0.3176 - val_mae: 0.5566 - learning_rate: 1.0000e-05
Epoch 134/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0414 - mae: 0.1543 - val_loss: 0.3143 - val_mae: 0.5537 - learning_rate: 1.0000e-05
Epoch 135/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0439 - mae: 0.1584 - val_loss: 0.3110 - val_mae: 0.5506 - learning_rate: 1.0000e-05
Epoch 136/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0429 - mae: 0.1556 - val_loss: 0.3074 - val_mae: 0.5474 - learning_rate: 1.0000e-05
Epoch 137/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0380 - mae: 0.1477 - val_loss: 0.3040 - val_mae: 0.5443 - learning_rate: 1.0000e-05
Epoch 138/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0410 - mae: 0.1543 - val_loss: 0.3005 - val_mae: 0.5410 - learning_rate: 1.0000e-05
Epoch 139/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0411 - mae: 0.1536 - val_loss: 0.2974 - val_mae: 0.5381 - learning_rate: 1.0000e-05
Epoch 140/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0367 - mae: 0.1425 - val_loss: 0.2945 - val_mae: 0.5355 - learning_rate: 1.0000e-05
Epoch 141/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.0389 - mae: 0.1469 - val_loss: 0.2915 - val_mae: 0.5327 - learning_rate: 1.0000e-05
Epoch 142/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0370 - mae: 0.1468 - val_loss: 0.2885 - val_mae: 0.5299 - learning_rate: 1.0000e-05
Epoch 143/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0340 - mae: 0.1345 - val_loss: 0.2856 - val_mae: 0.5271 - learning_rate: 1.0000e-05
Epoch 144/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 102ms/step - loss: 0.0349 - mae: 0.1460 - val_loss: 0.2825 - val_mae: 0.5242 - learning_rate: 1.0000e-05
Epoch 145/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - loss: 0.0421 - mae: 0.1524 - val_loss: 0.2795 - val_mae: 0.5213 - learning_rate: 1.0000e-05
Epoch 146/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0361 - mae: 0.1460 - val_loss: 0.2767 - val_mae: 0.5186 - learning_rate: 1.0000e-05
Epoch 147/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0398 - mae: 0.1501 - val_loss: 0.2739 - val_mae: 0.5159 - learning_rate: 1.0000e-05
Epoch 148/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0300 - mae: 0.1308 - val_loss: 0.2711 - val_mae: 0.5132 - learning_rate: 1.0000e-05
Epoch 149/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0357 - mae: 0.1459 - val_loss: 0.2681 - val_mae: 0.5103 - learning_rate: 1.0000e-05
Epoch 150/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0354 - mae: 0.1411 - val_loss: 0.2650 - val_mae: 0.5072 - learning_rate: 1.0000e-05
Epoch 151/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0308 - mae: 0.1316 - val_loss: 0.2619 - val_mae: 0.5041 - learning_rate: 1.0000e-05
Epoch 152/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 95ms/step - loss: 0.0367 - mae: 0.1453 - val_loss: 0.2587 - val_mae: 0.5009 - learning_rate: 1.0000e-05
Epoch 153/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 123ms/step - loss: 0.0386 - mae: 0.1462 - val_loss: 0.2556 - val_mae: 0.4978 - learning_rate: 1.0000e-05
Epoch 154/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0322 - mae: 0.1372 - val_loss: 0.2529 - val_mae: 0.4951 - learning_rate: 1.0000e-05
Epoch 155/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0354 - mae: 0.1395 - val_loss: 0.2500 - val_mae: 0.4922 - learning_rate: 1.0000e-05
Epoch 156/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0313 - mae: 0.1317 - val_loss: 0.2473 - val_mae: 0.4895 - learning_rate: 1.0000e-05
Epoch 157/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0300 - mae: 0.1286 - val_loss: 0.2442 - val_mae: 0.4863 - learning_rate: 1.0000e-05
Epoch 158/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0266 - mae: 0.1200 - val_loss: 0.2416 - val_mae: 0.4836 - learning_rate: 1.0000e-05
Epoch 159/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0365 - mae: 0.1407 - val_loss: 0.2387 - val_mae: 0.4806 - learning_rate: 1.0000e-05
Epoch 160/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0248 - mae: 0.1209 - val_loss: 0.2360 - val_mae: 0.4778 - learning_rate: 1.0000e-05
Epoch 161/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0306 - mae: 0.1286 - val_loss: 0.2330 - val_mae: 0.4746 - learning_rate: 1.0000e-05
Epoch 162/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0312 - mae: 0.1289 - val_loss: 0.2304 - val_mae: 0.4719 - learning_rate: 1.0000e-05
Epoch 163/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - loss: 0.0343 - mae: 0.1355 - val_loss: 0.2281 - val_mae: 0.4694 - learning_rate: 1.0000e-05
Epoch 164/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0336 - mae: 0.1375 - val_loss: 0.2257 - val_mae: 0.4669 - learning_rate: 1.0000e-05
Epoch 165/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0304 - mae: 0.1334 - val_loss: 0.2231 - val_mae: 0.4641 - learning_rate: 1.0000e-05
Epoch 166/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 113ms/step - loss: 0.0292 - mae: 0.1295 - val_loss: 0.2205 - val_mae: 0.4613 - learning_rate: 1.0000e-05
Epoch 167/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0325 - mae: 0.1350 - val_loss: 0.2178 - val_mae: 0.4583 - learning_rate: 1.0000e-05
Epoch 168/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0287 - mae: 0.1203 - val_loss: 0.2153 - val_mae: 0.4556 - learning_rate: 1.0000e-05
Epoch 169/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0306 - mae: 0.1331 - val_loss: 0.2126 - val_mae: 0.4526 - learning_rate: 1.0000e-05
Epoch 170/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0281 - mae: 0.1207 - val_loss: 0.2103 - val_mae: 0.4500 - learning_rate: 1.0000e-05
Epoch 171/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0219 - mae: 0.1090 - val_loss: 0.2082 - val_mae: 0.4477 - learning_rate: 1.0000e-05
Epoch 172/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0230 - mae: 0.1145 - val_loss: 0.2061 - val_mae: 0.4454 - learning_rate: 1.0000e-05
Epoch 173/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.0279 - mae: 0.1240 - val_loss: 0.2036 - val_mae: 0.4426 - learning_rate: 1.0000e-05
Epoch 174/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 111ms/step - loss: 0.0305 - mae: 0.1297 - val_loss: 0.2011 - val_mae: 0.4398 - learning_rate: 1.0000e-05
Epoch 175/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0312 - mae: 0.1305 - val_loss: 0.1988 - val_mae: 0.4372 - learning_rate: 1.0000e-05
Epoch 176/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0293 - mae: 0.1257 - val_loss: 0.1969 - val_mae: 0.4349 - learning_rate: 1.0000e-05
Epoch 177/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 108ms/step - loss: 0.0249 - mae: 0.1166 - val_loss: 0.1948 - val_mae: 0.4325 - learning_rate: 1.0000e-05
Epoch 178/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0231 - mae: 0.1157 - val_loss: 0.1926 - val_mae: 0.4300 - learning_rate: 1.0000e-05
Epoch 179/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0230 - mae: 0.1103 - val_loss: 0.1900 - val_mae: 0.4270 - learning_rate: 1.0000e-05
Epoch 180/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0284 - mae: 0.1190 - val_loss: 0.1873 - val_mae: 0.4238 - learning_rate: 1.0000e-05
Epoch 181/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0350 - mae: 0.1381 - val_loss: 0.1848 - val_mae: 0.4208 - learning_rate: 1.0000e-05
Epoch 182/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0218 - mae: 0.1015 - val_loss: 0.1826 - val_mae: 0.4182 - learning_rate: 1.0000e-05
Epoch 183/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0161 - mae: 0.0944 - val_loss: 0.1804 - val_mae: 0.4155 - learning_rate: 1.0000e-05
Epoch 184/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0240 - mae: 0.1114 - val_loss: 0.1783 - val_mae: 0.4130 - learning_rate: 1.0000e-05
Epoch 185/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 113ms/step - loss: 0.0249 - mae: 0.1199 - val_loss: 0.1761 - val_mae: 0.4104 - learning_rate: 1.0000e-05
Epoch 186/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0254 - mae: 0.1088 - val_loss: 0.1737 - val_mae: 0.4074 - learning_rate: 1.0000e-05
Epoch 187/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 2s 107ms/step - loss: 0.0230 - mae: 0.1099 - val_loss: 0.1711 - val_mae: 0.4042 - learning_rate: 1.0000e-05
Epoch 188/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0247 - mae: 0.1137 - val_loss: 0.1689 - val_mae: 0.4015 - learning_rate: 1.0000e-05
Epoch 189/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0215 - mae: 0.1018 - val_loss: 0.1668 - val_mae: 0.3989 - learning_rate: 1.0000e-05
Epoch 190/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 122ms/step - loss: 0.0238 - mae: 0.1075 - val_loss: 0.1651 - val_mae: 0.3968 - learning_rate: 1.0000e-05
Epoch 191/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0188 - mae: 0.0979 - val_loss: 0.1638 - val_mae: 0.3951 - learning_rate: 1.0000e-05
Epoch 192/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0197 - mae: 0.1003 - val_loss: 0.1621 - val_mae: 0.3929 - learning_rate: 1.0000e-05
Epoch 193/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0217 - mae: 0.1068 - val_loss: 0.1602 - val_mae: 0.3906 - learning_rate: 1.0000e-05
Epoch 194/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0220 - mae: 0.1064 - val_loss: 0.1582 - val_mae: 0.3879 - learning_rate: 1.0000e-05
Epoch 195/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0299 - mae: 0.1163 - val_loss: 0.1559 - val_mae: 0.3849 - learning_rate: 1.0000e-05
Epoch 196/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0204 - mae: 0.1052 - val_loss: 0.1542 - val_mae: 0.3827 - learning_rate: 1.0000e-05
Epoch 197/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 102ms/step - loss: 0.0233 - mae: 0.1101 - val_loss: 0.1524 - val_mae: 0.3804 - learning_rate: 1.0000e-05
Epoch 198/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.0232 - mae: 0.1091 - val_loss: 0.1507 - val_mae: 0.3782 - learning_rate: 1.0000e-05
Epoch 199/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0207 - mae: 0.1064 - val_loss: 0.1488 - val_mae: 0.3757 - learning_rate: 1.0000e-05
Epoch 200/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0201 - mae: 0.1019 - val_loss: 0.1473 - val_mae: 0.3737 - learning_rate: 1.0000e-05
Epoch 201/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 119ms/step - loss: 0.0205 - mae: 0.0993 - val_loss: 0.1455 - val_mae: 0.3712 - learning_rate: 1.0000e-05
Epoch 202/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0213 - mae: 0.1015 - val_loss: 0.1437 - val_mae: 0.3689 - learning_rate: 1.0000e-05
Epoch 203/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0280 - mae: 0.1147 - val_loss: 0.1419 - val_mae: 0.3663 - learning_rate: 1.0000e-05
Epoch 204/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0197 - mae: 0.1006 - val_loss: 0.1406 - val_mae: 0.3645 - learning_rate: 1.0000e-05
Epoch 205/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0205 - mae: 0.1030 - val_loss: 0.1391 - val_mae: 0.3625 - learning_rate: 1.0000e-05
Epoch 206/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0186 - mae: 0.0999 - val_loss: 0.1376 - val_mae: 0.3605 - learning_rate: 1.0000e-05
Epoch 207/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0253 - mae: 0.1097 - val_loss: 0.1358 - val_mae: 0.3579 - learning_rate: 1.0000e-05
Epoch 208/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0212 - mae: 0.1054 - val_loss: 0.1338 - val_mae: 0.3551 - learning_rate: 1.0000e-05
Epoch 209/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0201 - mae: 0.0969 - val_loss: 0.1319 - val_mae: 0.3525 - learning_rate: 1.0000e-05
Epoch 210/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0178 - mae: 0.0990 - val_loss: 0.1309 - val_mae: 0.3511 - learning_rate: 1.0000e-05
Epoch 211/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0192 - mae: 0.0998 - val_loss: 0.1298 - val_mae: 0.3495 - learning_rate: 1.0000e-05
Epoch 212/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 47ms/step - loss: 0.0160 - mae: 0.0899 - val_loss: 0.1281 - val_mae: 0.3471 - learning_rate: 1.0000e-05
Epoch 213/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0191 - mae: 0.0981 - val_loss: 0.1264 - val_mae: 0.3447 - learning_rate: 1.0000e-05
Epoch 214/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0209 - mae: 0.1059 - val_loss: 0.1249 - val_mae: 0.3425 - learning_rate: 1.0000e-05
Epoch 215/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 93ms/step - loss: 0.0201 - mae: 0.1007 - val_loss: 0.1236 - val_mae: 0.3405 - learning_rate: 1.0000e-05
Epoch 216/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0160 - mae: 0.0948 - val_loss: 0.1220 - val_mae: 0.3382 - learning_rate: 1.0000e-05
Epoch 217/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0239 - mae: 0.1073 - val_loss: 0.1207 - val_mae: 0.3363 - learning_rate: 1.0000e-05
Epoch 218/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 93ms/step - loss: 0.0232 - mae: 0.1034 - val_loss: 0.1195 - val_mae: 0.3345 - learning_rate: 1.0000e-05
Epoch 219/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0190 - mae: 0.0985 - val_loss: 0.1179 - val_mae: 0.3321 - learning_rate: 1.0000e-05
Epoch 220/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0173 - mae: 0.0951 - val_loss: 0.1165 - val_mae: 0.3300 - learning_rate: 1.0000e-05
Epoch 221/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0216 - mae: 0.1034 - val_loss: 0.1156 - val_mae: 0.3285 - learning_rate: 1.0000e-05
Epoch 222/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0251 - mae: 0.1069 - val_loss: 0.1141 - val_mae: 0.3263 - learning_rate: 1.0000e-05
Epoch 223/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 104ms/step - loss: 0.0208 - mae: 0.1001 - val_loss: 0.1125 - val_mae: 0.3239 - learning_rate: 1.0000e-05
Epoch 224/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0138 - mae: 0.0841 - val_loss: 0.1115 - val_mae: 0.3222 - learning_rate: 1.0000e-05
Epoch 225/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0218 - mae: 0.1073 - val_loss: 0.1103 - val_mae: 0.3204 - learning_rate: 1.0000e-05
Epoch 226/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 105ms/step - loss: 0.0155 - mae: 0.0927 - val_loss: 0.1091 - val_mae: 0.3186 - learning_rate: 1.0000e-05
Epoch 227/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0181 - mae: 0.0962 - val_loss: 0.1083 - val_mae: 0.3173 - learning_rate: 1.0000e-05
Epoch 228/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0190 - mae: 0.0951 - val_loss: 0.1076 - val_mae: 0.3161 - learning_rate: 1.0000e-05
Epoch 229/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0239 - mae: 0.1020 - val_loss: 0.1065 - val_mae: 0.3145 - learning_rate: 1.0000e-05
Epoch 230/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0133 - mae: 0.0835 - val_loss: 0.1054 - val_mae: 0.3126 - learning_rate: 1.0000e-05
Epoch 231/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0174 - mae: 0.0932 - val_loss: 0.1042 - val_mae: 0.3109 - learning_rate: 1.0000e-05
Epoch 232/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0155 - mae: 0.0866 - val_loss: 0.1034 - val_mae: 0.3095 - learning_rate: 1.0000e-05
Epoch 233/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0237 - mae: 0.1073 - val_loss: 0.1021 - val_mae: 0.3074 - learning_rate: 1.0000e-05
Epoch 234/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0170 - mae: 0.0915 - val_loss: 0.1013 - val_mae: 0.3061 - learning_rate: 1.0000e-05
Epoch 235/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0151 - mae: 0.0864 - val_loss: 0.1002 - val_mae: 0.3042 - learning_rate: 1.0000e-05
Epoch 236/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 117ms/step - loss: 0.0134 - mae: 0.0833 - val_loss: 0.0991 - val_mae: 0.3025 - learning_rate: 1.0000e-05
Epoch 237/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0132 - mae: 0.0824 - val_loss: 0.0984 - val_mae: 0.3014 - learning_rate: 1.0000e-05
Epoch 238/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0157 - mae: 0.0916 - val_loss: 0.0978 - val_mae: 0.3004 - learning_rate: 1.0000e-05
Epoch 239/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0123 - mae: 0.0820 - val_loss: 0.0975 - val_mae: 0.2998 - learning_rate: 1.0000e-05
Epoch 240/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0168 - mae: 0.0898 - val_loss: 0.0968 - val_mae: 0.2988 - learning_rate: 1.0000e-05
Epoch 241/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0174 - mae: 0.0894 - val_loss: 0.0958 - val_mae: 0.2971 - learning_rate: 1.0000e-05
Epoch 242/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0173 - mae: 0.0919 - val_loss: 0.0948 - val_mae: 0.2953 - learning_rate: 1.0000e-05
Epoch 243/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0140 - mae: 0.0845 - val_loss: 0.0936 - val_mae: 0.2934 - learning_rate: 1.0000e-05
Epoch 244/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0184 - mae: 0.0933 - val_loss: 0.0931 - val_mae: 0.2925 - learning_rate: 1.0000e-05
Epoch 245/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0178 - mae: 0.0930 - val_loss: 0.0924 - val_mae: 0.2913 - learning_rate: 1.0000e-05
Epoch 246/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0143 - mae: 0.0833 - val_loss: 0.0916 - val_mae: 0.2898 - learning_rate: 1.0000e-05
Epoch 247/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 97ms/step - loss: 0.0205 - mae: 0.1028 - val_loss: 0.0911 - val_mae: 0.2891 - learning_rate: 1.0000e-05
Epoch 248/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 105ms/step - loss: 0.0208 - mae: 0.0978 - val_loss: 0.0906 - val_mae: 0.2882 - learning_rate: 1.0000e-05
Epoch 249/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0138 - mae: 0.0857 - val_loss: 0.0905 - val_mae: 0.2880 - learning_rate: 1.0000e-05
Epoch 250/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0211 - mae: 0.1016 - val_loss: 0.0900 - val_mae: 0.2871 - learning_rate: 1.0000e-05
Epoch 251/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0185 - mae: 0.0990 - val_loss: 0.0890 - val_mae: 0.2855 - learning_rate: 1.0000e-05
Epoch 252/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0157 - mae: 0.0880 - val_loss: 0.0883 - val_mae: 0.2841 - learning_rate: 1.0000e-05
Epoch 253/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0148 - mae: 0.0826 - val_loss: 0.0875 - val_mae: 0.2828 - learning_rate: 1.0000e-05
Epoch 254/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0143 - mae: 0.0818 - val_loss: 0.0869 - val_mae: 0.2818 - learning_rate: 1.0000e-05
Epoch 255/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 120ms/step - loss: 0.0157 - mae: 0.0893 - val_loss: 0.0864 - val_mae: 0.2808 - learning_rate: 1.0000e-05
Epoch 256/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0153 - mae: 0.0853 - val_loss: 0.0858 - val_mae: 0.2797 - learning_rate: 1.0000e-05
Epoch 257/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0169 - mae: 0.0927 - val_loss: 0.0853 - val_mae: 0.2789 - learning_rate: 1.0000e-05
Epoch 258/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0125 - mae: 0.0805 - val_loss: 0.0857 - val_mae: 0.2796 - learning_rate: 1.0000e-05
Epoch 259/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0168 - mae: 0.0909 - val_loss: 0.0854 - val_mae: 0.2790 - learning_rate: 1.0000e-05
Epoch 260/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0172 - mae: 0.0913 - val_loss: 0.0848 - val_mae: 0.2780 - learning_rate: 1.0000e-05
Epoch 261/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.0196 - mae: 0.0984 - val_loss: 0.0839 - val_mae: 0.2764 - learning_rate: 1.0000e-05
Epoch 262/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0139 - mae: 0.0865 - val_loss: 0.0830 - val_mae: 0.2748 - learning_rate: 1.0000e-05
Epoch 263/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0141 - mae: 0.0852 - val_loss: 0.0824 - val_mae: 0.2737 - learning_rate: 1.0000e-05
Epoch 264/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0176 - mae: 0.0945 - val_loss: 0.0819 - val_mae: 0.2727 - learning_rate: 1.0000e-05
Epoch 265/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0192 - mae: 0.1001 - val_loss: 0.0812 - val_mae: 0.2714 - learning_rate: 1.0000e-05
Epoch 266/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0136 - mae: 0.0841 - val_loss: 0.0810 - val_mae: 0.2711 - learning_rate: 1.0000e-05
Epoch 267/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0184 - mae: 0.0886 - val_loss: 0.0803 - val_mae: 0.2699 - learning_rate: 1.0000e-05
Epoch 268/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0144 - mae: 0.0854 - val_loss: 0.0797 - val_mae: 0.2687 - learning_rate: 1.0000e-05
Epoch 269/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0176 - mae: 0.0926 - val_loss: 0.0789 - val_mae: 0.2672 - learning_rate: 1.0000e-05
Epoch 270/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0124 - mae: 0.0819 - val_loss: 0.0789 - val_mae: 0.2673 - learning_rate: 1.0000e-05
Epoch 271/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0179 - mae: 0.0947 - val_loss: 0.0784 - val_mae: 0.2664 - learning_rate: 1.0000e-05
Epoch 272/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0171 - mae: 0.0918 - val_loss: 0.0781 - val_mae: 0.2658 - learning_rate: 1.0000e-05
Epoch 273/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0126 - mae: 0.0804 - val_loss: 0.0778 - val_mae: 0.2651 - learning_rate: 1.0000e-05
Epoch 274/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0136 - mae: 0.0835 - val_loss: 0.0775 - val_mae: 0.2646 - learning_rate: 1.0000e-05
Epoch 275/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0152 - mae: 0.0867 - val_loss: 0.0775 - val_mae: 0.2647 - learning_rate: 1.0000e-05
Epoch 276/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.0158 - mae: 0.0907 - val_loss: 0.0771 - val_mae: 0.2639 - learning_rate: 1.0000e-05
Epoch 277/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0173 - mae: 0.0905 - val_loss: 0.0767 - val_mae: 0.2630 - learning_rate: 1.0000e-05
Epoch 278/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0147 - mae: 0.0816 - val_loss: 0.0765 - val_mae: 0.2627 - learning_rate: 1.0000e-05
Epoch 279/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0188 - mae: 0.0900 - val_loss: 0.0765 - val_mae: 0.2628 - learning_rate: 1.0000e-05
Epoch 280/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0186 - mae: 0.0961 - val_loss: 0.0765 - val_mae: 0.2626 - learning_rate: 1.0000e-05
Epoch 281/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0141 - mae: 0.0857 - val_loss: 0.0761 - val_mae: 0.2619 - learning_rate: 1.0000e-05
Epoch 282/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0153 - mae: 0.0864 - val_loss: 0.0755 - val_mae: 0.2608 - learning_rate: 1.0000e-05
Epoch 283/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0156 - mae: 0.0879 - val_loss: 0.0751 - val_mae: 0.2600 - learning_rate: 1.0000e-05
Epoch 284/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0117 - mae: 0.0791 - val_loss: 0.0750 - val_mae: 0.2599 - learning_rate: 1.0000e-05
Epoch 285/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.0161 - mae: 0.0883 - val_loss: 0.0747 - val_mae: 0.2594 - learning_rate: 1.0000e-05
Epoch 286/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0156 - mae: 0.0895 - val_loss: 0.0744 - val_mae: 0.2587 - learning_rate: 1.0000e-05
Epoch 287/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0157 - mae: 0.0855 - val_loss: 0.0739 - val_mae: 0.2577 - learning_rate: 1.0000e-05
Epoch 288/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0123 - mae: 0.0801 - val_loss: 0.0736 - val_mae: 0.2571 - learning_rate: 1.0000e-05
Epoch 289/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0124 - mae: 0.0776 - val_loss: 0.0734 - val_mae: 0.2568 - learning_rate: 1.0000e-05
Epoch 290/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0190 - mae: 0.0969 - val_loss: 0.0730 - val_mae: 0.2560 - learning_rate: 1.0000e-05
Epoch 291/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0150 - mae: 0.0842 - val_loss: 0.0720 - val_mae: 0.2541 - learning_rate: 1.0000e-05
Epoch 292/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0193 - mae: 0.0938 - val_loss: 0.0715 - val_mae: 0.2532 - learning_rate: 1.0000e-05
Epoch 293/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0108 - mae: 0.0788 - val_loss: 0.0713 - val_mae: 0.2527 - learning_rate: 1.0000e-05
Epoch 294/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0151 - mae: 0.0883 - val_loss: 0.0714 - val_mae: 0.2528 - learning_rate: 1.0000e-05
Epoch 295/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0128 - mae: 0.0826 - val_loss: 0.0708 - val_mae: 0.2517 - learning_rate: 1.0000e-05
Epoch 296/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0132 - mae: 0.0844 - val_loss: 0.0699 - val_mae: 0.2500 - learning_rate: 1.0000e-05
Epoch 297/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0161 - mae: 0.0892 - val_loss: 0.0696 - val_mae: 0.2492 - learning_rate: 1.0000e-05
Epoch 298/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0145 - mae: 0.0891 - val_loss: 0.0691 - val_mae: 0.2483 - learning_rate: 1.0000e-05
Epoch 299/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0167 - mae: 0.0949 - val_loss: 0.0684 - val_mae: 0.2469 - learning_rate: 1.0000e-05
Epoch 300/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0177 - mae: 0.0879 - val_loss: 0.0678 - val_mae: 0.2457 - learning_rate: 1.0000e-05
Epoch 301/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0187 - mae: 0.0933 - val_loss: 0.0673 - val_mae: 0.2447 - learning_rate: 1.0000e-05
Epoch 302/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0121 - mae: 0.0770 - val_loss: 0.0672 - val_mae: 0.2446 - learning_rate: 1.0000e-05
Epoch 303/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0141 - mae: 0.0889 - val_loss: 0.0674 - val_mae: 0.2450 - learning_rate: 1.0000e-05
Epoch 304/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0173 - mae: 0.0907 - val_loss: 0.0671 - val_mae: 0.2443 - learning_rate: 1.0000e-05
Epoch 305/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0132 - mae: 0.0855 - val_loss: 0.0666 - val_mae: 0.2434 - learning_rate: 1.0000e-05
Epoch 306/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0123 - mae: 0.0788 - val_loss: 0.0671 - val_mae: 0.2444 - learning_rate: 1.0000e-05
Epoch 307/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0139 - mae: 0.0857 - val_loss: 0.0674 - val_mae: 0.2449 - learning_rate: 1.0000e-05
Epoch 308/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0140 - mae: 0.0879 - val_loss: 0.0673 - val_mae: 0.2448 - learning_rate: 1.0000e-05
Epoch 309/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0176 - mae: 0.0952 - val_loss: 0.0671 - val_mae: 0.2443 - learning_rate: 5.0000e-06
Epoch 310/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0129 - mae: 0.0773 - val_loss: 0.0672 - val_mae: 0.2445 - learning_rate: 5.0000e-06
Epoch 311/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0120 - mae: 0.0802 - val_loss: 0.0671 - val_mae: 0.2442 - learning_rate: 5.0000e-06
Epoch 312/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 29ms/step - loss: 0.0181 - mae: 0.0938 - val_loss: 0.0668 - val_mae: 0.2438 - learning_rate: 2.5000e-06
Epoch 313/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0135 - mae: 0.0787 - val_loss: 0.0666 - val_mae: 0.2433 - learning_rate: 2.5000e-06
Epoch 314/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0151 - mae: 0.0873 - val_loss: 0.0664 - val_mae: 0.2430 - learning_rate: 2.5000e-06
Epoch 315/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0149 - mae: 0.0877 - val_loss: 0.0664 - val_mae: 0.2429 - learning_rate: 2.5000e-06
Epoch 316/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0160 - mae: 0.0872 - val_loss: 0.0664 - val_mae: 0.2429 - learning_rate: 2.5000e-06
Epoch 317/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0139 - mae: 0.0836 - val_loss: 0.0663 - val_mae: 0.2427 - learning_rate: 2.5000e-06
Epoch 318/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0155 - mae: 0.0852 - val_loss: 0.0664 - val_mae: 0.2430 - learning_rate: 2.5000e-06
Epoch 319/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0105 - mae: 0.0750 - val_loss: 0.0666 - val_mae: 0.2433 - learning_rate: 2.5000e-06
Epoch 320/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.0175 - mae: 0.0859 - val_loss: 0.0667 - val_mae: 0.2435 - learning_rate: 2.5000e-06
Epoch 321/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0132 - mae: 0.0818 - val_loss: 0.0666 - val_mae: 0.2434 - learning_rate: 1.2500e-06
Epoch 322/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 32ms/step - loss: 0.0141 - mae: 0.0818 - val_loss: 0.0666 - val_mae: 0.2433 - learning_rate: 1.2500e-06
Epoch 323/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0168 - mae: 0.0893 - val_loss: 0.0666 - val_mae: 0.2433 - learning_rate: 1.2500e-06
Epoch 324/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step - loss: 0.0157 - mae: 0.0871 - val_loss: 0.0666 - val_mae: 0.2432 - learning_rate: 6.2500e-07
Epoch 325/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0143 - mae: 0.0837 - val_loss: 0.0665 - val_mae: 0.2432 - learning_rate: 6.2500e-07
Epoch 326/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 37ms/step - loss: 0.0179 - mae: 0.0900 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 6.2500e-07
Epoch 327/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0178 - mae: 0.0950 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 3.1250e-07
Epoch 328/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0129 - mae: 0.0841 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 3.1250e-07
Epoch 329/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0138 - mae: 0.0788 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 3.1250e-07
Epoch 330/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0168 - mae: 0.0849 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 1.5625e-07
Epoch 331/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0125 - mae: 0.0795 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 1.5625e-07
Epoch 332/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 43ms/step - loss: 0.0134 - mae: 0.0834 - val_loss: 0.0665 - val_mae: 0.2431 - learning_rate: 1.5625e-07
5/5 ━━━━━━━━━━━━━━━━━━━━ 3s 436ms/step
Regression Metrics:
  MSE: 418668459.9799
  MAE: 19285.3679
  RMSE: 20461.3895
  R2 Score: -7.3137
Epoch 1/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 14s 281ms/step - loss: 0.2232 - mae: 0.3880 - val_loss: 1.0282 - val_mae: 1.0101 - learning_rate: 1.0000e-05
Epoch 2/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 95ms/step - loss: 0.2529 - mae: 0.4147 - val_loss: 1.0258 - val_mae: 1.0089 - learning_rate: 1.0000e-05
Epoch 3/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.2355 - mae: 0.3953 - val_loss: 1.0235 - val_mae: 1.0078 - learning_rate: 1.0000e-05
Epoch 4/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.2351 - mae: 0.4043 - val_loss: 1.0211 - val_mae: 1.0066 - learning_rate: 1.0000e-05
Epoch 5/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.2182 - mae: 0.3863 - val_loss: 1.0188 - val_mae: 1.0054 - learning_rate: 1.0000e-05
Epoch 6/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.2347 - mae: 0.3975 - val_loss: 1.0164 - val_mae: 1.0043 - learning_rate: 1.0000e-05
Epoch 7/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 98ms/step - loss: 0.2418 - mae: 0.4090 - val_loss: 1.0142 - val_mae: 1.0032 - learning_rate: 1.0000e-05
Epoch 8/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.2261 - mae: 0.3902 - val_loss: 1.0120 - val_mae: 1.0021 - learning_rate: 1.0000e-05
Epoch 9/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.2244 - mae: 0.3915 - val_loss: 1.0098 - val_mae: 1.0010 - learning_rate: 1.0000e-05
Epoch 10/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.2362 - mae: 0.3995 - val_loss: 1.0075 - val_mae: 0.9998 - learning_rate: 1.0000e-05
Epoch 11/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.2213 - mae: 0.3815 - val_loss: 1.0053 - val_mae: 0.9987 - learning_rate: 1.0000e-05
Epoch 12/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 46ms/step - loss: 0.2077 - mae: 0.3698 - val_loss: 1.0031 - val_mae: 0.9976 - learning_rate: 1.0000e-05
Epoch 13/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.2126 - mae: 0.3706 - val_loss: 1.0009 - val_mae: 0.9966 - learning_rate: 1.0000e-05
Epoch 14/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.2151 - mae: 0.3779 - val_loss: 0.9987 - val_mae: 0.9954 - learning_rate: 1.0000e-05
Epoch 15/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.2206 - mae: 0.3870 - val_loss: 0.9964 - val_mae: 0.9943 - learning_rate: 1.0000e-05
Epoch 16/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.2298 - mae: 0.3872 - val_loss: 0.9942 - val_mae: 0.9931 - learning_rate: 1.0000e-05
Epoch 17/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.2338 - mae: 0.3930 - val_loss: 0.9919 - val_mae: 0.9920 - learning_rate: 1.0000e-05
Epoch 18/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 107ms/step - loss: 0.2101 - mae: 0.3737 - val_loss: 0.9896 - val_mae: 0.9909 - learning_rate: 1.0000e-05
Epoch 19/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.2257 - mae: 0.3875 - val_loss: 0.9873 - val_mae: 0.9897 - learning_rate: 1.0000e-05
Epoch 20/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.2152 - mae: 0.3779 - val_loss: 0.9850 - val_mae: 0.9885 - learning_rate: 1.0000e-05
Epoch 21/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.2211 - mae: 0.3828 - val_loss: 0.9826 - val_mae: 0.9873 - learning_rate: 1.0000e-05
Epoch 22/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.2133 - mae: 0.3740 - val_loss: 0.9802 - val_mae: 0.9861 - learning_rate: 1.0000e-05
Epoch 23/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.2317 - mae: 0.3956 - val_loss: 0.9778 - val_mae: 0.9849 - learning_rate: 1.0000e-05
Epoch 24/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.2104 - mae: 0.3694 - val_loss: 0.9754 - val_mae: 0.9836 - learning_rate: 1.0000e-05
Epoch 25/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.2107 - mae: 0.3719 - val_loss: 0.9729 - val_mae: 0.9824 - learning_rate: 1.0000e-05
Epoch 26/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.2177 - mae: 0.3828 - val_loss: 0.9704 - val_mae: 0.9811 - learning_rate: 1.0000e-05
Epoch 27/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.2172 - mae: 0.3800 - val_loss: 0.9678 - val_mae: 0.9798 - learning_rate: 1.0000e-05
Epoch 28/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.2115 - mae: 0.3684 - val_loss: 0.9654 - val_mae: 0.9786 - learning_rate: 1.0000e-05
Epoch 29/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.2067 - mae: 0.3609 - val_loss: 0.9629 - val_mae: 0.9773 - learning_rate: 1.0000e-05
Epoch 30/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.1998 - mae: 0.3558 - val_loss: 0.9604 - val_mae: 0.9760 - learning_rate: 1.0000e-05
Epoch 31/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.2193 - mae: 0.3811 - val_loss: 0.9577 - val_mae: 0.9746 - learning_rate: 1.0000e-05
Epoch 32/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.2180 - mae: 0.3759 - val_loss: 0.9551 - val_mae: 0.9733 - learning_rate: 1.0000e-05
Epoch 33/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.2096 - mae: 0.3643 - val_loss: 0.9526 - val_mae: 0.9720 - learning_rate: 1.0000e-05
Epoch 34/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.1877 - mae: 0.3434 - val_loss: 0.9501 - val_mae: 0.9708 - learning_rate: 1.0000e-05
Epoch 35/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.1959 - mae: 0.3536 - val_loss: 0.9475 - val_mae: 0.9694 - learning_rate: 1.0000e-05
Epoch 36/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.1968 - mae: 0.3538 - val_loss: 0.9449 - val_mae: 0.9680 - learning_rate: 1.0000e-05
Epoch 37/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.2019 - mae: 0.3586 - val_loss: 0.9423 - val_mae: 0.9667 - learning_rate: 1.0000e-05
Epoch 38/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.2050 - mae: 0.3624 - val_loss: 0.9396 - val_mae: 0.9653 - learning_rate: 1.0000e-05
Epoch 39/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 46ms/step - loss: 0.2087 - mae: 0.3704 - val_loss: 0.9369 - val_mae: 0.9639 - learning_rate: 1.0000e-05
Epoch 40/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.2035 - mae: 0.3631 - val_loss: 0.9342 - val_mae: 0.9625 - learning_rate: 1.0000e-05
Epoch 41/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.1904 - mae: 0.3488 - val_loss: 0.9316 - val_mae: 0.9612 - learning_rate: 1.0000e-05
Epoch 42/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.1964 - mae: 0.3524 - val_loss: 0.9287 - val_mae: 0.9597 - learning_rate: 1.0000e-05
Epoch 43/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.1973 - mae: 0.3457 - val_loss: 0.9258 - val_mae: 0.9582 - learning_rate: 1.0000e-05
Epoch 44/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.2061 - mae: 0.3655 - val_loss: 0.9229 - val_mae: 0.9566 - learning_rate: 1.0000e-05
Epoch 45/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.1876 - mae: 0.3406 - val_loss: 0.9200 - val_mae: 0.9551 - learning_rate: 1.0000e-05
Epoch 46/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 115ms/step - loss: 0.1753 - mae: 0.3240 - val_loss: 0.9172 - val_mae: 0.9536 - learning_rate: 1.0000e-05
Epoch 47/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.2076 - mae: 0.3613 - val_loss: 0.9142 - val_mae: 0.9521 - learning_rate: 1.0000e-05
Epoch 48/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.1795 - mae: 0.3300 - val_loss: 0.9112 - val_mae: 0.9505 - learning_rate: 1.0000e-05
Epoch 49/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 46ms/step - loss: 0.1844 - mae: 0.3385 - val_loss: 0.9082 - val_mae: 0.9489 - learning_rate: 1.0000e-05
Epoch 50/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.1922 - mae: 0.3455 - val_loss: 0.9050 - val_mae: 0.9473 - learning_rate: 1.0000e-05
Epoch 51/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.1713 - mae: 0.3276 - val_loss: 0.9019 - val_mae: 0.9456 - learning_rate: 1.0000e-05
Epoch 52/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.1833 - mae: 0.3390 - val_loss: 0.8986 - val_mae: 0.9439 - learning_rate: 1.0000e-05
Epoch 53/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.1824 - mae: 0.3377 - val_loss: 0.8953 - val_mae: 0.9421 - learning_rate: 1.0000e-05
Epoch 54/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.1616 - mae: 0.3142 - val_loss: 0.8921 - val_mae: 0.9404 - learning_rate: 1.0000e-05
Epoch 55/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1807 - mae: 0.3375 - val_loss: 0.8888 - val_mae: 0.9387 - learning_rate: 1.0000e-05
Epoch 56/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.1801 - mae: 0.3302 - val_loss: 0.8856 - val_mae: 0.9370 - learning_rate: 1.0000e-05
Epoch 57/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.1573 - mae: 0.3087 - val_loss: 0.8824 - val_mae: 0.9352 - learning_rate: 1.0000e-05
Epoch 58/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.1767 - mae: 0.3302 - val_loss: 0.8790 - val_mae: 0.9334 - learning_rate: 1.0000e-05
Epoch 59/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1762 - mae: 0.3260 - val_loss: 0.8757 - val_mae: 0.9317 - learning_rate: 1.0000e-05
Epoch 60/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.1681 - mae: 0.3249 - val_loss: 0.8723 - val_mae: 0.9299 - learning_rate: 1.0000e-05
Epoch 61/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.1815 - mae: 0.3367 - val_loss: 0.8687 - val_mae: 0.9279 - learning_rate: 1.0000e-05
Epoch 62/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.1618 - mae: 0.3134 - val_loss: 0.8652 - val_mae: 0.9261 - learning_rate: 1.0000e-05
Epoch 63/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 103ms/step - loss: 0.1631 - mae: 0.3063 - val_loss: 0.8617 - val_mae: 0.9241 - learning_rate: 1.0000e-05
Epoch 64/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.1671 - mae: 0.3140 - val_loss: 0.8582 - val_mae: 0.9222 - learning_rate: 1.0000e-05
Epoch 65/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1542 - mae: 0.3037 - val_loss: 0.8545 - val_mae: 0.9203 - learning_rate: 1.0000e-05
Epoch 66/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.1580 - mae: 0.3080 - val_loss: 0.8509 - val_mae: 0.9183 - learning_rate: 1.0000e-05
Epoch 67/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.1674 - mae: 0.3149 - val_loss: 0.8471 - val_mae: 0.9162 - learning_rate: 1.0000e-05
Epoch 68/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.1560 - mae: 0.3029 - val_loss: 0.8433 - val_mae: 0.9142 - learning_rate: 1.0000e-05
Epoch 69/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.1702 - mae: 0.3202 - val_loss: 0.8396 - val_mae: 0.9121 - learning_rate: 1.0000e-05
Epoch 70/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 118ms/step - loss: 0.1557 - mae: 0.3003 - val_loss: 0.8357 - val_mae: 0.9100 - learning_rate: 1.0000e-05
Epoch 71/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.1663 - mae: 0.3152 - val_loss: 0.8318 - val_mae: 0.9079 - learning_rate: 1.0000e-05
Epoch 72/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.1657 - mae: 0.3157 - val_loss: 0.8279 - val_mae: 0.9057 - learning_rate: 1.0000e-05
Epoch 73/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 113ms/step - loss: 0.1636 - mae: 0.3048 - val_loss: 0.8241 - val_mae: 0.9036 - learning_rate: 1.0000e-05
Epoch 74/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 95ms/step - loss: 0.1548 - mae: 0.3011 - val_loss: 0.8203 - val_mae: 0.9015 - learning_rate: 1.0000e-05
Epoch 75/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.1599 - mae: 0.3045 - val_loss: 0.8164 - val_mae: 0.8993 - learning_rate: 1.0000e-05
Epoch 76/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.1537 - mae: 0.2983 - val_loss: 0.8124 - val_mae: 0.8971 - learning_rate: 1.0000e-05
Epoch 77/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1436 - mae: 0.2854 - val_loss: 0.8083 - val_mae: 0.8949 - learning_rate: 1.0000e-05
Epoch 78/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.1527 - mae: 0.2984 - val_loss: 0.8041 - val_mae: 0.8925 - learning_rate: 1.0000e-05
Epoch 79/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.1537 - mae: 0.2992 - val_loss: 0.7999 - val_mae: 0.8901 - learning_rate: 1.0000e-05
Epoch 80/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.1421 - mae: 0.2814 - val_loss: 0.7958 - val_mae: 0.8878 - learning_rate: 1.0000e-05
Epoch 81/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 123ms/step - loss: 0.1415 - mae: 0.2820 - val_loss: 0.7918 - val_mae: 0.8856 - learning_rate: 1.0000e-05
Epoch 82/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.1282 - mae: 0.2647 - val_loss: 0.7877 - val_mae: 0.8832 - learning_rate: 1.0000e-05
Epoch 83/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.1467 - mae: 0.2899 - val_loss: 0.7834 - val_mae: 0.8808 - learning_rate: 1.0000e-05
Epoch 84/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1258 - mae: 0.2605 - val_loss: 0.7792 - val_mae: 0.8784 - learning_rate: 1.0000e-05
Epoch 85/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.1398 - mae: 0.2781 - val_loss: 0.7748 - val_mae: 0.8759 - learning_rate: 1.0000e-05
Epoch 86/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.1315 - mae: 0.2670 - val_loss: 0.7705 - val_mae: 0.8735 - learning_rate: 1.0000e-05
Epoch 87/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.1279 - mae: 0.2684 - val_loss: 0.7662 - val_mae: 0.8710 - learning_rate: 1.0000e-05
Epoch 88/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1344 - mae: 0.2697 - val_loss: 0.7618 - val_mae: 0.8685 - learning_rate: 1.0000e-05
Epoch 89/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.1334 - mae: 0.2683 - val_loss: 0.7574 - val_mae: 0.8660 - learning_rate: 1.0000e-05
Epoch 90/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.1373 - mae: 0.2730 - val_loss: 0.7530 - val_mae: 0.8635 - learning_rate: 1.0000e-05
Epoch 91/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1253 - mae: 0.2628 - val_loss: 0.7486 - val_mae: 0.8609 - learning_rate: 1.0000e-05
Epoch 92/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.1400 - mae: 0.2767 - val_loss: 0.7440 - val_mae: 0.8582 - learning_rate: 1.0000e-05
Epoch 93/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.1225 - mae: 0.2597 - val_loss: 0.7394 - val_mae: 0.8555 - learning_rate: 1.0000e-05
Epoch 94/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 112ms/step - loss: 0.1276 - mae: 0.2657 - val_loss: 0.7349 - val_mae: 0.8529 - learning_rate: 1.0000e-05
Epoch 95/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.1292 - mae: 0.2629 - val_loss: 0.7302 - val_mae: 0.8501 - learning_rate: 1.0000e-05
Epoch 96/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.1150 - mae: 0.2439 - val_loss: 0.7256 - val_mae: 0.8475 - learning_rate: 1.0000e-05
Epoch 97/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.1253 - mae: 0.2570 - val_loss: 0.7210 - val_mae: 0.8447 - learning_rate: 1.0000e-05
Epoch 98/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.1233 - mae: 0.2544 - val_loss: 0.7165 - val_mae: 0.8420 - learning_rate: 1.0000e-05
Epoch 99/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.1165 - mae: 0.2400 - val_loss: 0.7120 - val_mae: 0.8394 - learning_rate: 1.0000e-05
Epoch 100/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.1183 - mae: 0.2433 - val_loss: 0.7074 - val_mae: 0.8366 - learning_rate: 1.0000e-05
Epoch 101/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1292 - mae: 0.2576 - val_loss: 0.7027 - val_mae: 0.8338 - learning_rate: 1.0000e-05
Epoch 102/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.1116 - mae: 0.2460 - val_loss: 0.6980 - val_mae: 0.8310 - learning_rate: 1.0000e-05
Epoch 103/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.1131 - mae: 0.2408 - val_loss: 0.6932 - val_mae: 0.8281 - learning_rate: 1.0000e-05
Epoch 104/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.1062 - mae: 0.2300 - val_loss: 0.6884 - val_mae: 0.8252 - learning_rate: 1.0000e-05
Epoch 105/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.1178 - mae: 0.2422 - val_loss: 0.6837 - val_mae: 0.8224 - learning_rate: 1.0000e-05
Epoch 106/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0964 - mae: 0.2210 - val_loss: 0.6790 - val_mae: 0.8195 - learning_rate: 1.0000e-05
Epoch 107/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.1149 - mae: 0.2373 - val_loss: 0.6741 - val_mae: 0.8165 - learning_rate: 1.0000e-05
Epoch 108/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.1070 - mae: 0.2266 - val_loss: 0.6694 - val_mae: 0.8136 - learning_rate: 1.0000e-05
Epoch 109/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.1312 - mae: 0.2619 - val_loss: 0.6646 - val_mae: 0.8107 - learning_rate: 1.0000e-05
Epoch 110/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.1040 - mae: 0.2240 - val_loss: 0.6602 - val_mae: 0.8079 - learning_rate: 1.0000e-05
Epoch 111/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0990 - mae: 0.2189 - val_loss: 0.6556 - val_mae: 0.8051 - learning_rate: 1.0000e-05
Epoch 112/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.1041 - mae: 0.2270 - val_loss: 0.6509 - val_mae: 0.8022 - learning_rate: 1.0000e-05
Epoch 113/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.1006 - mae: 0.2158 - val_loss: 0.6462 - val_mae: 0.7992 - learning_rate: 1.0000e-05
Epoch 114/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.1063 - mae: 0.2304 - val_loss: 0.6415 - val_mae: 0.7963 - learning_rate: 1.0000e-05
Epoch 115/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.1073 - mae: 0.2320 - val_loss: 0.6368 - val_mae: 0.7934 - learning_rate: 1.0000e-05
Epoch 116/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 119ms/step - loss: 0.1042 - mae: 0.2290 - val_loss: 0.6321 - val_mae: 0.7904 - learning_rate: 1.0000e-05
Epoch 117/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0860 - mae: 0.1996 - val_loss: 0.6277 - val_mae: 0.7876 - learning_rate: 1.0000e-05
Epoch 118/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 122ms/step - loss: 0.1013 - mae: 0.2202 - val_loss: 0.6230 - val_mae: 0.7846 - learning_rate: 1.0000e-05
Epoch 119/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0977 - mae: 0.2147 - val_loss: 0.6184 - val_mae: 0.7817 - learning_rate: 1.0000e-05
Epoch 120/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0973 - mae: 0.2214 - val_loss: 0.6136 - val_mae: 0.7786 - learning_rate: 1.0000e-05
Epoch 121/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0891 - mae: 0.2062 - val_loss: 0.6090 - val_mae: 0.7757 - learning_rate: 1.0000e-05
Epoch 122/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0933 - mae: 0.2138 - val_loss: 0.6045 - val_mae: 0.7727 - learning_rate: 1.0000e-05
Epoch 123/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0886 - mae: 0.2076 - val_loss: 0.5999 - val_mae: 0.7698 - learning_rate: 1.0000e-05
Epoch 124/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0964 - mae: 0.2177 - val_loss: 0.5953 - val_mae: 0.7668 - learning_rate: 1.0000e-05
Epoch 125/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0867 - mae: 0.2016 - val_loss: 0.5908 - val_mae: 0.7638 - learning_rate: 1.0000e-05
Epoch 126/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0912 - mae: 0.2051 - val_loss: 0.5862 - val_mae: 0.7608 - learning_rate: 1.0000e-05
Epoch 127/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0828 - mae: 0.2001 - val_loss: 0.5817 - val_mae: 0.7579 - learning_rate: 1.0000e-05
Epoch 128/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.1038 - mae: 0.2246 - val_loss: 0.5771 - val_mae: 0.7549 - learning_rate: 1.0000e-05
Epoch 129/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0834 - mae: 0.1994 - val_loss: 0.5726 - val_mae: 0.7519 - learning_rate: 1.0000e-05
Epoch 130/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0828 - mae: 0.2015 - val_loss: 0.5683 - val_mae: 0.7490 - learning_rate: 1.0000e-05
Epoch 131/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0898 - mae: 0.2049 - val_loss: 0.5639 - val_mae: 0.7461 - learning_rate: 1.0000e-05
Epoch 132/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0750 - mae: 0.1924 - val_loss: 0.5596 - val_mae: 0.7432 - learning_rate: 1.0000e-05
Epoch 133/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0669 - mae: 0.1788 - val_loss: 0.5554 - val_mae: 0.7403 - learning_rate: 1.0000e-05
Epoch 134/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0803 - mae: 0.1963 - val_loss: 0.5507 - val_mae: 0.7372 - learning_rate: 1.0000e-05
Epoch 135/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0771 - mae: 0.1974 - val_loss: 0.5464 - val_mae: 0.7342 - learning_rate: 1.0000e-05
Epoch 136/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0772 - mae: 0.1935 - val_loss: 0.5420 - val_mae: 0.7313 - learning_rate: 1.0000e-05
Epoch 137/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0828 - mae: 0.2032 - val_loss: 0.5377 - val_mae: 0.7283 - learning_rate: 1.0000e-05
Epoch 138/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0793 - mae: 0.1977 - val_loss: 0.5337 - val_mae: 0.7255 - learning_rate: 1.0000e-05
Epoch 139/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 103ms/step - loss: 0.0760 - mae: 0.1890 - val_loss: 0.5295 - val_mae: 0.7226 - learning_rate: 1.0000e-05
Epoch 140/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 115ms/step - loss: 0.0793 - mae: 0.1956 - val_loss: 0.5253 - val_mae: 0.7198 - learning_rate: 1.0000e-05
Epoch 141/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0767 - mae: 0.1898 - val_loss: 0.5213 - val_mae: 0.7170 - learning_rate: 1.0000e-05
Epoch 142/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0678 - mae: 0.1815 - val_loss: 0.5173 - val_mae: 0.7142 - learning_rate: 1.0000e-05
Epoch 143/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 90ms/step - loss: 0.0825 - mae: 0.2094 - val_loss: 0.5129 - val_mae: 0.7111 - learning_rate: 1.0000e-05
Epoch 144/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0698 - mae: 0.1905 - val_loss: 0.5089 - val_mae: 0.7083 - learning_rate: 1.0000e-05
Epoch 145/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0732 - mae: 0.1900 - val_loss: 0.5049 - val_mae: 0.7055 - learning_rate: 1.0000e-05
Epoch 146/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0774 - mae: 0.2040 - val_loss: 0.5011 - val_mae: 0.7027 - learning_rate: 1.0000e-05
Epoch 147/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0719 - mae: 0.1938 - val_loss: 0.4971 - val_mae: 0.6999 - learning_rate: 1.0000e-05
Epoch 148/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0734 - mae: 0.1942 - val_loss: 0.4933 - val_mae: 0.6972 - learning_rate: 1.0000e-05
Epoch 149/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0675 - mae: 0.1927 - val_loss: 0.4897 - val_mae: 0.6947 - learning_rate: 1.0000e-05
Epoch 150/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0717 - mae: 0.1920 - val_loss: 0.4860 - val_mae: 0.6920 - learning_rate: 1.0000e-05
Epoch 151/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0636 - mae: 0.1823 - val_loss: 0.4822 - val_mae: 0.6892 - learning_rate: 1.0000e-05
Epoch 152/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0640 - mae: 0.1790 - val_loss: 0.4785 - val_mae: 0.6865 - learning_rate: 1.0000e-05
Epoch 153/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 103ms/step - loss: 0.0691 - mae: 0.1923 - val_loss: 0.4748 - val_mae: 0.6838 - learning_rate: 1.0000e-05
Epoch 154/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.0815 - mae: 0.2049 - val_loss: 0.4709 - val_mae: 0.6810 - learning_rate: 1.0000e-05
Epoch 155/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.0677 - mae: 0.1849 - val_loss: 0.4672 - val_mae: 0.6782 - learning_rate: 1.0000e-05
Epoch 156/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0669 - mae: 0.1911 - val_loss: 0.4637 - val_mae: 0.6757 - learning_rate: 1.0000e-05
Epoch 157/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0589 - mae: 0.1743 - val_loss: 0.4604 - val_mae: 0.6732 - learning_rate: 1.0000e-05
Epoch 158/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0676 - mae: 0.1882 - val_loss: 0.4568 - val_mae: 0.6705 - learning_rate: 1.0000e-05
Epoch 159/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0732 - mae: 0.2000 - val_loss: 0.4530 - val_mae: 0.6678 - learning_rate: 1.0000e-05
Epoch 160/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0683 - mae: 0.1914 - val_loss: 0.4497 - val_mae: 0.6652 - learning_rate: 1.0000e-05
Epoch 161/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0677 - mae: 0.1894 - val_loss: 0.4462 - val_mae: 0.6626 - learning_rate: 1.0000e-05
Epoch 162/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 110ms/step - loss: 0.0633 - mae: 0.1860 - val_loss: 0.4428 - val_mae: 0.6600 - learning_rate: 1.0000e-05
Epoch 163/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0597 - mae: 0.1852 - val_loss: 0.4391 - val_mae: 0.6573 - learning_rate: 1.0000e-05
Epoch 164/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0759 - mae: 0.2093 - val_loss: 0.4356 - val_mae: 0.6546 - learning_rate: 1.0000e-05
Epoch 165/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 109ms/step - loss: 0.0619 - mae: 0.1825 - val_loss: 0.4325 - val_mae: 0.6522 - learning_rate: 1.0000e-05
Epoch 166/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0603 - mae: 0.1779 - val_loss: 0.4293 - val_mae: 0.6498 - learning_rate: 1.0000e-05
Epoch 167/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0636 - mae: 0.1853 - val_loss: 0.4260 - val_mae: 0.6472 - learning_rate: 1.0000e-05
Epoch 168/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0640 - mae: 0.1811 - val_loss: 0.4228 - val_mae: 0.6447 - learning_rate: 1.0000e-05
Epoch 169/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0674 - mae: 0.1972 - val_loss: 0.4194 - val_mae: 0.6421 - learning_rate: 1.0000e-05
Epoch 170/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0700 - mae: 0.1945 - val_loss: 0.4164 - val_mae: 0.6397 - learning_rate: 1.0000e-05
Epoch 171/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0577 - mae: 0.1804 - val_loss: 0.4135 - val_mae: 0.6375 - learning_rate: 1.0000e-05
Epoch 172/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0738 - mae: 0.1992 - val_loss: 0.4101 - val_mae: 0.6349 - learning_rate: 1.0000e-05
Epoch 173/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0586 - mae: 0.1811 - val_loss: 0.4074 - val_mae: 0.6327 - learning_rate: 1.0000e-05
Epoch 174/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0673 - mae: 0.1937 - val_loss: 0.4041 - val_mae: 0.6301 - learning_rate: 1.0000e-05
Epoch 175/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0561 - mae: 0.1757 - val_loss: 0.4010 - val_mae: 0.6276 - learning_rate: 1.0000e-05
Epoch 176/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0573 - mae: 0.1783 - val_loss: 0.3981 - val_mae: 0.6253 - learning_rate: 1.0000e-05
Epoch 177/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0563 - mae: 0.1837 - val_loss: 0.3951 - val_mae: 0.6229 - learning_rate: 1.0000e-05
Epoch 178/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0523 - mae: 0.1755 - val_loss: 0.3919 - val_mae: 0.6203 - learning_rate: 1.0000e-05
Epoch 179/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 105ms/step - loss: 0.0575 - mae: 0.1801 - val_loss: 0.3889 - val_mae: 0.6179 - learning_rate: 1.0000e-05
Epoch 180/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0567 - mae: 0.1795 - val_loss: 0.3858 - val_mae: 0.6154 - learning_rate: 1.0000e-05
Epoch 181/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0547 - mae: 0.1779 - val_loss: 0.3832 - val_mae: 0.6133 - learning_rate: 1.0000e-05
Epoch 182/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0587 - mae: 0.1885 - val_loss: 0.3804 - val_mae: 0.6110 - learning_rate: 1.0000e-05
Epoch 183/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0633 - mae: 0.1908 - val_loss: 0.3775 - val_mae: 0.6086 - learning_rate: 1.0000e-05
Epoch 184/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0498 - mae: 0.1658 - val_loss: 0.3747 - val_mae: 0.6063 - learning_rate: 1.0000e-05
Epoch 185/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0576 - mae: 0.1795 - val_loss: 0.3719 - val_mae: 0.6040 - learning_rate: 1.0000e-05
Epoch 186/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0523 - mae: 0.1783 - val_loss: 0.3690 - val_mae: 0.6016 - learning_rate: 1.0000e-05
Epoch 187/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0551 - mae: 0.1766 - val_loss: 0.3660 - val_mae: 0.5991 - learning_rate: 1.0000e-05
Epoch 188/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 46ms/step - loss: 0.0506 - mae: 0.1687 - val_loss: 0.3630 - val_mae: 0.5966 - learning_rate: 1.0000e-05
Epoch 189/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0560 - mae: 0.1753 - val_loss: 0.3602 - val_mae: 0.5943 - learning_rate: 1.0000e-05
Epoch 190/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0478 - mae: 0.1607 - val_loss: 0.3575 - val_mae: 0.5920 - learning_rate: 1.0000e-05
Epoch 191/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0532 - mae: 0.1734 - val_loss: 0.3545 - val_mae: 0.5894 - learning_rate: 1.0000e-05
Epoch 192/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0504 - mae: 0.1677 - val_loss: 0.3516 - val_mae: 0.5870 - learning_rate: 1.0000e-05
Epoch 193/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0471 - mae: 0.1673 - val_loss: 0.3489 - val_mae: 0.5847 - learning_rate: 1.0000e-05
Epoch 194/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0487 - mae: 0.1626 - val_loss: 0.3463 - val_mae: 0.5825 - learning_rate: 1.0000e-05
Epoch 195/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0491 - mae: 0.1618 - val_loss: 0.3433 - val_mae: 0.5799 - learning_rate: 1.0000e-05
Epoch 196/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0531 - mae: 0.1763 - val_loss: 0.3408 - val_mae: 0.5777 - learning_rate: 1.0000e-05
Epoch 197/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0585 - mae: 0.1849 - val_loss: 0.3383 - val_mae: 0.5756 - learning_rate: 1.0000e-05
Epoch 198/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0514 - mae: 0.1716 - val_loss: 0.3357 - val_mae: 0.5733 - learning_rate: 1.0000e-05
Epoch 199/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0547 - mae: 0.1783 - val_loss: 0.3331 - val_mae: 0.5710 - learning_rate: 1.0000e-05
Epoch 200/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0480 - mae: 0.1657 - val_loss: 0.3305 - val_mae: 0.5688 - learning_rate: 1.0000e-05
Epoch 201/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0520 - mae: 0.1715 - val_loss: 0.3278 - val_mae: 0.5664 - learning_rate: 1.0000e-05
Epoch 202/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0506 - mae: 0.1699 - val_loss: 0.3249 - val_mae: 0.5639 - learning_rate: 1.0000e-05
Epoch 203/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0505 - mae: 0.1667 - val_loss: 0.3225 - val_mae: 0.5617 - learning_rate: 1.0000e-05
Epoch 204/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0475 - mae: 0.1656 - val_loss: 0.3202 - val_mae: 0.5596 - learning_rate: 1.0000e-05
Epoch 205/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0520 - mae: 0.1762 - val_loss: 0.3177 - val_mae: 0.5574 - learning_rate: 1.0000e-05
Epoch 206/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0381 - mae: 0.1513 - val_loss: 0.3153 - val_mae: 0.5552 - learning_rate: 1.0000e-05
Epoch 207/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0407 - mae: 0.1574 - val_loss: 0.3129 - val_mae: 0.5531 - learning_rate: 1.0000e-05
Epoch 208/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0443 - mae: 0.1578 - val_loss: 0.3105 - val_mae: 0.5509 - learning_rate: 1.0000e-05
Epoch 209/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0420 - mae: 0.1529 - val_loss: 0.3082 - val_mae: 0.5488 - learning_rate: 1.0000e-05
Epoch 210/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0442 - mae: 0.1589 - val_loss: 0.3055 - val_mae: 0.5464 - learning_rate: 1.0000e-05
Epoch 211/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0430 - mae: 0.1587 - val_loss: 0.3031 - val_mae: 0.5442 - learning_rate: 1.0000e-05
Epoch 212/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0397 - mae: 0.1497 - val_loss: 0.3007 - val_mae: 0.5419 - learning_rate: 1.0000e-05
Epoch 213/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0422 - mae: 0.1561 - val_loss: 0.2979 - val_mae: 0.5394 - learning_rate: 1.0000e-05
Epoch 214/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0379 - mae: 0.1501 - val_loss: 0.2954 - val_mae: 0.5371 - learning_rate: 1.0000e-05
Epoch 215/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0438 - mae: 0.1582 - val_loss: 0.2928 - val_mae: 0.5347 - learning_rate: 1.0000e-05
Epoch 216/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0441 - mae: 0.1589 - val_loss: 0.2904 - val_mae: 0.5324 - learning_rate: 1.0000e-05
Epoch 217/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 107ms/step - loss: 0.0492 - mae: 0.1676 - val_loss: 0.2878 - val_mae: 0.5300 - learning_rate: 1.0000e-05
Epoch 218/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0427 - mae: 0.1593 - val_loss: 0.2853 - val_mae: 0.5276 - learning_rate: 1.0000e-05
Epoch 219/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0513 - mae: 0.1610 - val_loss: 0.2834 - val_mae: 0.5259 - learning_rate: 1.0000e-05
Epoch 220/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0400 - mae: 0.1528 - val_loss: 0.2810 - val_mae: 0.5235 - learning_rate: 1.0000e-05
Epoch 221/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0384 - mae: 0.1509 - val_loss: 0.2788 - val_mae: 0.5214 - learning_rate: 1.0000e-05
Epoch 222/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0399 - mae: 0.1520 - val_loss: 0.2767 - val_mae: 0.5194 - learning_rate: 1.0000e-05
Epoch 223/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0474 - mae: 0.1650 - val_loss: 0.2744 - val_mae: 0.5172 - learning_rate: 1.0000e-05
Epoch 224/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0390 - mae: 0.1456 - val_loss: 0.2721 - val_mae: 0.5150 - learning_rate: 1.0000e-05
Epoch 225/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0422 - mae: 0.1575 - val_loss: 0.2698 - val_mae: 0.5128 - learning_rate: 1.0000e-05
Epoch 226/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0395 - mae: 0.1477 - val_loss: 0.2672 - val_mae: 0.5102 - learning_rate: 1.0000e-05
Epoch 227/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0379 - mae: 0.1483 - val_loss: 0.2646 - val_mae: 0.5077 - learning_rate: 1.0000e-05
Epoch 228/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0422 - mae: 0.1551 - val_loss: 0.2623 - val_mae: 0.5054 - learning_rate: 1.0000e-05
Epoch 229/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 90ms/step - loss: 0.0368 - mae: 0.1431 - val_loss: 0.2601 - val_mae: 0.5032 - learning_rate: 1.0000e-05
Epoch 230/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0388 - mae: 0.1483 - val_loss: 0.2580 - val_mae: 0.5011 - learning_rate: 1.0000e-05
Epoch 231/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0341 - mae: 0.1406 - val_loss: 0.2560 - val_mae: 0.4991 - learning_rate: 1.0000e-05
Epoch 232/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0370 - mae: 0.1441 - val_loss: 0.2538 - val_mae: 0.4969 - learning_rate: 1.0000e-05
Epoch 233/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0367 - mae: 0.1421 - val_loss: 0.2513 - val_mae: 0.4944 - learning_rate: 1.0000e-05
Epoch 234/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0442 - mae: 0.1511 - val_loss: 0.2487 - val_mae: 0.4918 - learning_rate: 1.0000e-05
Epoch 235/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0351 - mae: 0.1401 - val_loss: 0.2462 - val_mae: 0.4893 - learning_rate: 1.0000e-05
Epoch 236/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0347 - mae: 0.1378 - val_loss: 0.2439 - val_mae: 0.4869 - learning_rate: 1.0000e-05
Epoch 237/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0447 - mae: 0.1533 - val_loss: 0.2416 - val_mae: 0.4845 - learning_rate: 1.0000e-05
Epoch 238/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0394 - mae: 0.1439 - val_loss: 0.2391 - val_mae: 0.4819 - learning_rate: 1.0000e-05
Epoch 239/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0290 - mae: 0.1283 - val_loss: 0.2370 - val_mae: 0.4797 - learning_rate: 1.0000e-05
Epoch 240/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0393 - mae: 0.1430 - val_loss: 0.2346 - val_mae: 0.4773 - learning_rate: 1.0000e-05
Epoch 241/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.0367 - mae: 0.1381 - val_loss: 0.2326 - val_mae: 0.4752 - learning_rate: 1.0000e-05
Epoch 242/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0348 - mae: 0.1425 - val_loss: 0.2305 - val_mae: 0.4729 - learning_rate: 1.0000e-05
Epoch 243/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0389 - mae: 0.1418 - val_loss: 0.2283 - val_mae: 0.4706 - learning_rate: 1.0000e-05
Epoch 244/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0386 - mae: 0.1482 - val_loss: 0.2259 - val_mae: 0.4681 - learning_rate: 1.0000e-05
Epoch 245/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0282 - mae: 0.1252 - val_loss: 0.2239 - val_mae: 0.4659 - learning_rate: 1.0000e-05
Epoch 246/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0325 - mae: 0.1344 - val_loss: 0.2216 - val_mae: 0.4635 - learning_rate: 1.0000e-05
Epoch 247/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0410 - mae: 0.1420 - val_loss: 0.2193 - val_mae: 0.4610 - learning_rate: 1.0000e-05
Epoch 248/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0346 - mae: 0.1378 - val_loss: 0.2169 - val_mae: 0.4584 - learning_rate: 1.0000e-05
Epoch 249/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0336 - mae: 0.1353 - val_loss: 0.2147 - val_mae: 0.4560 - learning_rate: 1.0000e-05
Epoch 250/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0279 - mae: 0.1253 - val_loss: 0.2127 - val_mae: 0.4538 - learning_rate: 1.0000e-05
Epoch 251/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0285 - mae: 0.1259 - val_loss: 0.2110 - val_mae: 0.4520 - learning_rate: 1.0000e-05
Epoch 252/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0323 - mae: 0.1319 - val_loss: 0.2087 - val_mae: 0.4494 - learning_rate: 1.0000e-05
Epoch 253/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 111ms/step - loss: 0.0236 - mae: 0.1170 - val_loss: 0.2068 - val_mae: 0.4473 - learning_rate: 1.0000e-05
Epoch 254/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0248 - mae: 0.1179 - val_loss: 0.2047 - val_mae: 0.4449 - learning_rate: 1.0000e-05
Epoch 255/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0318 - mae: 0.1341 - val_loss: 0.2024 - val_mae: 0.4423 - learning_rate: 1.0000e-05
Epoch 256/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0333 - mae: 0.1290 - val_loss: 0.1998 - val_mae: 0.4395 - learning_rate: 1.0000e-05
Epoch 257/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 2s 91ms/step - loss: 0.0290 - mae: 0.1291 - val_loss: 0.1976 - val_mae: 0.4369 - learning_rate: 1.0000e-05
Epoch 258/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0315 - mae: 0.1235 - val_loss: 0.1955 - val_mae: 0.4345 - learning_rate: 1.0000e-05
Epoch 259/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0286 - mae: 0.1196 - val_loss: 0.1933 - val_mae: 0.4320 - learning_rate: 1.0000e-05
Epoch 260/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0351 - mae: 0.1343 - val_loss: 0.1912 - val_mae: 0.4295 - learning_rate: 1.0000e-05
Epoch 261/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0212 - mae: 0.1028 - val_loss: 0.1893 - val_mae: 0.4273 - learning_rate: 1.0000e-05
Epoch 262/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0263 - mae: 0.1136 - val_loss: 0.1873 - val_mae: 0.4251 - learning_rate: 1.0000e-05
Epoch 263/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 99ms/step - loss: 0.0302 - mae: 0.1189 - val_loss: 0.1855 - val_mae: 0.4229 - learning_rate: 1.0000e-05
Epoch 264/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0233 - mae: 0.1084 - val_loss: 0.1840 - val_mae: 0.4211 - learning_rate: 1.0000e-05
Epoch 265/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0288 - mae: 0.1230 - val_loss: 0.1822 - val_mae: 0.4190 - learning_rate: 1.0000e-05
Epoch 266/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.0277 - mae: 0.1157 - val_loss: 0.1801 - val_mae: 0.4165 - learning_rate: 1.0000e-05
Epoch 267/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0254 - mae: 0.1143 - val_loss: 0.1779 - val_mae: 0.4138 - learning_rate: 1.0000e-05
Epoch 268/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0260 - mae: 0.1162 - val_loss: 0.1761 - val_mae: 0.4117 - learning_rate: 1.0000e-05
Epoch 269/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0225 - mae: 0.1083 - val_loss: 0.1746 - val_mae: 0.4099 - learning_rate: 1.0000e-05
Epoch 270/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0272 - mae: 0.1147 - val_loss: 0.1729 - val_mae: 0.4078 - learning_rate: 1.0000e-05
Epoch 271/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0212 - mae: 0.1042 - val_loss: 0.1708 - val_mae: 0.4052 - learning_rate: 1.0000e-05
Epoch 272/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0284 - mae: 0.1201 - val_loss: 0.1687 - val_mae: 0.4026 - learning_rate: 1.0000e-05
Epoch 273/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0233 - mae: 0.1063 - val_loss: 0.1668 - val_mae: 0.4003 - learning_rate: 1.0000e-05
Epoch 274/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0243 - mae: 0.1072 - val_loss: 0.1652 - val_mae: 0.3983 - learning_rate: 1.0000e-05
Epoch 275/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0217 - mae: 0.1043 - val_loss: 0.1637 - val_mae: 0.3964 - learning_rate: 1.0000e-05
Epoch 276/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0210 - mae: 0.1047 - val_loss: 0.1619 - val_mae: 0.3942 - learning_rate: 1.0000e-05
Epoch 277/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0255 - mae: 0.1162 - val_loss: 0.1597 - val_mae: 0.3913 - learning_rate: 1.0000e-05
Epoch 278/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0235 - mae: 0.1100 - val_loss: 0.1577 - val_mae: 0.3888 - learning_rate: 1.0000e-05
Epoch 279/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0215 - mae: 0.1074 - val_loss: 0.1560 - val_mae: 0.3866 - learning_rate: 1.0000e-05
Epoch 280/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 111ms/step - loss: 0.0221 - mae: 0.1066 - val_loss: 0.1543 - val_mae: 0.3845 - learning_rate: 1.0000e-05
Epoch 281/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0233 - mae: 0.1077 - val_loss: 0.1524 - val_mae: 0.3819 - learning_rate: 1.0000e-05
Epoch 282/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0199 - mae: 0.1016 - val_loss: 0.1507 - val_mae: 0.3798 - learning_rate: 1.0000e-05
Epoch 283/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 68ms/step - loss: 0.0210 - mae: 0.1039 - val_loss: 0.1489 - val_mae: 0.3773 - learning_rate: 1.0000e-05
Epoch 284/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0205 - mae: 0.1036 - val_loss: 0.1473 - val_mae: 0.3752 - learning_rate: 1.0000e-05
Epoch 285/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0268 - mae: 0.1135 - val_loss: 0.1452 - val_mae: 0.3724 - learning_rate: 1.0000e-05
Epoch 286/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0194 - mae: 0.0971 - val_loss: 0.1434 - val_mae: 0.3699 - learning_rate: 1.0000e-05
Epoch 287/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0231 - mae: 0.1052 - val_loss: 0.1415 - val_mae: 0.3675 - learning_rate: 1.0000e-05
Epoch 288/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0181 - mae: 0.0896 - val_loss: 0.1398 - val_mae: 0.3652 - learning_rate: 1.0000e-05
Epoch 289/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0186 - mae: 0.0970 - val_loss: 0.1380 - val_mae: 0.3626 - learning_rate: 1.0000e-05
Epoch 290/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 107ms/step - loss: 0.0242 - mae: 0.0990 - val_loss: 0.1361 - val_mae: 0.3601 - learning_rate: 1.0000e-05
Epoch 291/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.0186 - mae: 0.0973 - val_loss: 0.1344 - val_mae: 0.3577 - learning_rate: 1.0000e-05
Epoch 292/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0227 - mae: 0.0999 - val_loss: 0.1329 - val_mae: 0.3556 - learning_rate: 1.0000e-05
Epoch 293/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0200 - mae: 0.1003 - val_loss: 0.1316 - val_mae: 0.3538 - learning_rate: 1.0000e-05
Epoch 294/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0143 - mae: 0.0849 - val_loss: 0.1302 - val_mae: 0.3518 - learning_rate: 1.0000e-05
Epoch 295/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0176 - mae: 0.0928 - val_loss: 0.1291 - val_mae: 0.3502 - learning_rate: 1.0000e-05
Epoch 296/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0167 - mae: 0.0902 - val_loss: 0.1277 - val_mae: 0.3482 - learning_rate: 1.0000e-05
Epoch 297/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0194 - mae: 0.0992 - val_loss: 0.1263 - val_mae: 0.3462 - learning_rate: 1.0000e-05
Epoch 298/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0232 - mae: 0.1029 - val_loss: 0.1251 - val_mae: 0.3445 - learning_rate: 1.0000e-05
Epoch 299/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0153 - mae: 0.0861 - val_loss: 0.1236 - val_mae: 0.3423 - learning_rate: 1.0000e-05
Epoch 300/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0227 - mae: 0.1020 - val_loss: 0.1222 - val_mae: 0.3403 - learning_rate: 1.0000e-05
Epoch 301/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0185 - mae: 0.1025 - val_loss: 0.1207 - val_mae: 0.3381 - learning_rate: 1.0000e-05
Epoch 302/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0182 - mae: 0.0907 - val_loss: 0.1191 - val_mae: 0.3357 - learning_rate: 1.0000e-05
Epoch 303/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0200 - mae: 0.0981 - val_loss: 0.1176 - val_mae: 0.3334 - learning_rate: 1.0000e-05
Epoch 304/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0157 - mae: 0.0874 - val_loss: 0.1161 - val_mae: 0.3313 - learning_rate: 1.0000e-05
Epoch 305/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0156 - mae: 0.0874 - val_loss: 0.1148 - val_mae: 0.3292 - learning_rate: 1.0000e-05
Epoch 306/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0175 - mae: 0.0985 - val_loss: 0.1134 - val_mae: 0.3272 - learning_rate: 1.0000e-05
Epoch 307/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0219 - mae: 0.0982 - val_loss: 0.1119 - val_mae: 0.3248 - learning_rate: 1.0000e-05
Epoch 308/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0142 - mae: 0.0828 - val_loss: 0.1106 - val_mae: 0.3229 - learning_rate: 1.0000e-05
Epoch 309/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0158 - mae: 0.0856 - val_loss: 0.1094 - val_mae: 0.3210 - learning_rate: 1.0000e-05
Epoch 310/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0187 - mae: 0.0934 - val_loss: 0.1085 - val_mae: 0.3195 - learning_rate: 1.0000e-05
Epoch 311/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0194 - mae: 0.0976 - val_loss: 0.1074 - val_mae: 0.3179 - learning_rate: 1.0000e-05
Epoch 312/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0209 - mae: 0.0939 - val_loss: 0.1064 - val_mae: 0.3163 - learning_rate: 1.0000e-05
Epoch 313/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0185 - mae: 0.0929 - val_loss: 0.1055 - val_mae: 0.3149 - learning_rate: 1.0000e-05
Epoch 314/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0156 - mae: 0.0872 - val_loss: 0.1048 - val_mae: 0.3138 - learning_rate: 1.0000e-05
Epoch 315/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0162 - mae: 0.0882 - val_loss: 0.1040 - val_mae: 0.3126 - learning_rate: 1.0000e-05
Epoch 316/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 98ms/step - loss: 0.0149 - mae: 0.0865 - val_loss: 0.1029 - val_mae: 0.3108 - learning_rate: 1.0000e-05
Epoch 317/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0230 - mae: 0.1009 - val_loss: 0.1013 - val_mae: 0.3081 - learning_rate: 1.0000e-05
Epoch 318/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0203 - mae: 0.0974 - val_loss: 0.0999 - val_mae: 0.3060 - learning_rate: 1.0000e-05
Epoch 319/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 128ms/step - loss: 0.0176 - mae: 0.0939 - val_loss: 0.0987 - val_mae: 0.3040 - learning_rate: 1.0000e-05
Epoch 320/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0141 - mae: 0.0819 - val_loss: 0.0975 - val_mae: 0.3019 - learning_rate: 1.0000e-05
Epoch 321/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0185 - mae: 0.0948 - val_loss: 0.0967 - val_mae: 0.3007 - learning_rate: 1.0000e-05
Epoch 322/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0158 - mae: 0.0879 - val_loss: 0.0961 - val_mae: 0.2996 - learning_rate: 1.0000e-05
Epoch 323/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0126 - mae: 0.0832 - val_loss: 0.0953 - val_mae: 0.2983 - learning_rate: 1.0000e-05
Epoch 324/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 43ms/step - loss: 0.0174 - mae: 0.0906 - val_loss: 0.0944 - val_mae: 0.2967 - learning_rate: 1.0000e-05
Epoch 325/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0173 - mae: 0.0907 - val_loss: 0.0930 - val_mae: 0.2945 - learning_rate: 1.0000e-05
Epoch 326/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0200 - mae: 0.0968 - val_loss: 0.0916 - val_mae: 0.2920 - learning_rate: 1.0000e-05
Epoch 327/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0160 - mae: 0.0884 - val_loss: 0.0906 - val_mae: 0.2903 - learning_rate: 1.0000e-05
Epoch 328/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0215 - mae: 0.0980 - val_loss: 0.0896 - val_mae: 0.2886 - learning_rate: 1.0000e-05
Epoch 329/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0163 - mae: 0.0819 - val_loss: 0.0885 - val_mae: 0.2868 - learning_rate: 1.0000e-05
Epoch 330/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0176 - mae: 0.0930 - val_loss: 0.0878 - val_mae: 0.2855 - learning_rate: 1.0000e-05
Epoch 331/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 89ms/step - loss: 0.0186 - mae: 0.0902 - val_loss: 0.0869 - val_mae: 0.2840 - learning_rate: 1.0000e-05
Epoch 332/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0143 - mae: 0.0805 - val_loss: 0.0862 - val_mae: 0.2828 - learning_rate: 1.0000e-05
Epoch 333/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 101ms/step - loss: 0.0149 - mae: 0.0839 - val_loss: 0.0855 - val_mae: 0.2814 - learning_rate: 1.0000e-05
Epoch 334/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 64ms/step - loss: 0.0135 - mae: 0.0815 - val_loss: 0.0847 - val_mae: 0.2801 - learning_rate: 1.0000e-05
Epoch 335/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0179 - mae: 0.0826 - val_loss: 0.0836 - val_mae: 0.2781 - learning_rate: 1.0000e-05
Epoch 336/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0155 - mae: 0.0815 - val_loss: 0.0825 - val_mae: 0.2761 - learning_rate: 1.0000e-05
Epoch 337/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0186 - mae: 0.0964 - val_loss: 0.0813 - val_mae: 0.2740 - learning_rate: 1.0000e-05
Epoch 338/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0159 - mae: 0.0880 - val_loss: 0.0805 - val_mae: 0.2726 - learning_rate: 1.0000e-05
Epoch 339/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 78ms/step - loss: 0.0146 - mae: 0.0814 - val_loss: 0.0799 - val_mae: 0.2714 - learning_rate: 1.0000e-05
Epoch 340/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0128 - mae: 0.0798 - val_loss: 0.0792 - val_mae: 0.2701 - learning_rate: 1.0000e-05
Epoch 341/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0140 - mae: 0.0822 - val_loss: 0.0787 - val_mae: 0.2693 - learning_rate: 1.0000e-05
Epoch 342/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0185 - mae: 0.0909 - val_loss: 0.0780 - val_mae: 0.2680 - learning_rate: 1.0000e-05
Epoch 343/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0133 - mae: 0.0770 - val_loss: 0.0774 - val_mae: 0.2669 - learning_rate: 1.0000e-05
Epoch 344/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0213 - mae: 0.0971 - val_loss: 0.0764 - val_mae: 0.2649 - learning_rate: 1.0000e-05
Epoch 345/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0168 - mae: 0.0850 - val_loss: 0.0754 - val_mae: 0.2631 - learning_rate: 1.0000e-05
Epoch 346/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0171 - mae: 0.0919 - val_loss: 0.0746 - val_mae: 0.2616 - learning_rate: 1.0000e-05
Epoch 347/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 90ms/step - loss: 0.0120 - mae: 0.0791 - val_loss: 0.0737 - val_mae: 0.2598 - learning_rate: 1.0000e-05
Epoch 348/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0170 - mae: 0.0905 - val_loss: 0.0729 - val_mae: 0.2582 - learning_rate: 1.0000e-05
Epoch 349/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0128 - mae: 0.0778 - val_loss: 0.0721 - val_mae: 0.2567 - learning_rate: 1.0000e-05
Epoch 350/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0159 - mae: 0.0897 - val_loss: 0.0716 - val_mae: 0.2557 - learning_rate: 1.0000e-05
Epoch 351/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0144 - mae: 0.0859 - val_loss: 0.0708 - val_mae: 0.2543 - learning_rate: 1.0000e-05
Epoch 352/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0138 - mae: 0.0820 - val_loss: 0.0706 - val_mae: 0.2537 - learning_rate: 1.0000e-05
Epoch 353/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0141 - mae: 0.0821 - val_loss: 0.0700 - val_mae: 0.2527 - learning_rate: 1.0000e-05
Epoch 354/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0146 - mae: 0.0834 - val_loss: 0.0693 - val_mae: 0.2513 - learning_rate: 1.0000e-05
Epoch 355/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0148 - mae: 0.0823 - val_loss: 0.0687 - val_mae: 0.2501 - learning_rate: 1.0000e-05
Epoch 356/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0143 - mae: 0.0767 - val_loss: 0.0678 - val_mae: 0.2483 - learning_rate: 1.0000e-05
Epoch 357/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 51ms/step - loss: 0.0121 - mae: 0.0749 - val_loss: 0.0669 - val_mae: 0.2465 - learning_rate: 1.0000e-05
Epoch 358/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0120 - mae: 0.0755 - val_loss: 0.0663 - val_mae: 0.2453 - learning_rate: 1.0000e-05
Epoch 359/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 79ms/step - loss: 0.0155 - mae: 0.0858 - val_loss: 0.0659 - val_mae: 0.2445 - learning_rate: 1.0000e-05
Epoch 360/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0136 - mae: 0.0803 - val_loss: 0.0655 - val_mae: 0.2436 - learning_rate: 1.0000e-05
Epoch 361/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0146 - mae: 0.0865 - val_loss: 0.0650 - val_mae: 0.2427 - learning_rate: 1.0000e-05
Epoch 362/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0115 - mae: 0.0779 - val_loss: 0.0647 - val_mae: 0.2420 - learning_rate: 1.0000e-05
Epoch 363/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 102ms/step - loss: 0.0150 - mae: 0.0841 - val_loss: 0.0644 - val_mae: 0.2414 - learning_rate: 1.0000e-05
Epoch 364/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0146 - mae: 0.0806 - val_loss: 0.0639 - val_mae: 0.2404 - learning_rate: 1.0000e-05
Epoch 365/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 66ms/step - loss: 0.0150 - mae: 0.0872 - val_loss: 0.0636 - val_mae: 0.2398 - learning_rate: 1.0000e-05
Epoch 366/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 107ms/step - loss: 0.0163 - mae: 0.0891 - val_loss: 0.0634 - val_mae: 0.2393 - learning_rate: 1.0000e-05
Epoch 367/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 96ms/step - loss: 0.0165 - mae: 0.0883 - val_loss: 0.0630 - val_mae: 0.2385 - learning_rate: 1.0000e-05
Epoch 368/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0138 - mae: 0.0843 - val_loss: 0.0625 - val_mae: 0.2376 - learning_rate: 1.0000e-05
Epoch 369/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 70ms/step - loss: 0.0172 - mae: 0.0826 - val_loss: 0.0623 - val_mae: 0.2371 - learning_rate: 1.0000e-05
Epoch 370/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0117 - mae: 0.0794 - val_loss: 0.0618 - val_mae: 0.2361 - learning_rate: 1.0000e-05
Epoch 371/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0155 - mae: 0.0828 - val_loss: 0.0613 - val_mae: 0.2350 - learning_rate: 1.0000e-05
Epoch 372/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0131 - mae: 0.0814 - val_loss: 0.0609 - val_mae: 0.2341 - learning_rate: 1.0000e-05
Epoch 373/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0102 - mae: 0.0713 - val_loss: 0.0608 - val_mae: 0.2338 - learning_rate: 1.0000e-05
Epoch 374/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 59ms/step - loss: 0.0151 - mae: 0.0867 - val_loss: 0.0607 - val_mae: 0.2336 - learning_rate: 1.0000e-05
Epoch 375/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0219 - mae: 0.0991 - val_loss: 0.0603 - val_mae: 0.2329 - learning_rate: 1.0000e-05
Epoch 376/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 54ms/step - loss: 0.0121 - mae: 0.0784 - val_loss: 0.0598 - val_mae: 0.2318 - learning_rate: 1.0000e-05
Epoch 377/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0142 - mae: 0.0784 - val_loss: 0.0592 - val_mae: 0.2305 - learning_rate: 1.0000e-05
Epoch 378/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 86ms/step - loss: 0.0151 - mae: 0.0851 - val_loss: 0.0584 - val_mae: 0.2287 - learning_rate: 1.0000e-05
Epoch 379/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0176 - mae: 0.0863 - val_loss: 0.0575 - val_mae: 0.2267 - learning_rate: 1.0000e-05
Epoch 380/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0157 - mae: 0.0858 - val_loss: 0.0566 - val_mae: 0.2249 - learning_rate: 1.0000e-05
Epoch 381/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 47ms/step - loss: 0.0147 - mae: 0.0820 - val_loss: 0.0561 - val_mae: 0.2236 - learning_rate: 1.0000e-05
Epoch 382/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0131 - mae: 0.0809 - val_loss: 0.0559 - val_mae: 0.2234 - learning_rate: 1.0000e-05
Epoch 383/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0122 - mae: 0.0766 - val_loss: 0.0557 - val_mae: 0.2228 - learning_rate: 1.0000e-05
Epoch 384/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 38ms/step - loss: 0.0117 - mae: 0.0781 - val_loss: 0.0557 - val_mae: 0.2229 - learning_rate: 1.0000e-05
Epoch 385/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step - loss: 0.0107 - mae: 0.0735 - val_loss: 0.0559 - val_mae: 0.2232 - learning_rate: 1.0000e-05
Epoch 386/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0099 - mae: 0.0707 - val_loss: 0.0558 - val_mae: 0.2230 - learning_rate: 1.0000e-05
Epoch 387/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0171 - mae: 0.0858 - val_loss: 0.0555 - val_mae: 0.2223 - learning_rate: 5.0000e-06
Epoch 388/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0118 - mae: 0.0788 - val_loss: 0.0551 - val_mae: 0.2215 - learning_rate: 5.0000e-06
Epoch 389/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0170 - mae: 0.0888 - val_loss: 0.0548 - val_mae: 0.2208 - learning_rate: 5.0000e-06
Epoch 390/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 83ms/step - loss: 0.0143 - mae: 0.0836 - val_loss: 0.0545 - val_mae: 0.2202 - learning_rate: 5.0000e-06
Epoch 391/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0142 - mae: 0.0844 - val_loss: 0.0542 - val_mae: 0.2194 - learning_rate: 5.0000e-06
Epoch 392/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0139 - mae: 0.0831 - val_loss: 0.0540 - val_mae: 0.2190 - learning_rate: 5.0000e-06
Epoch 393/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0138 - mae: 0.0794 - val_loss: 0.0539 - val_mae: 0.2188 - learning_rate: 5.0000e-06
Epoch 394/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 100ms/step - loss: 0.0129 - mae: 0.0818 - val_loss: 0.0538 - val_mae: 0.2185 - learning_rate: 5.0000e-06
Epoch 395/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0143 - mae: 0.0845 - val_loss: 0.0537 - val_mae: 0.2184 - learning_rate: 5.0000e-06
Epoch 396/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0136 - mae: 0.0793 - val_loss: 0.0536 - val_mae: 0.2182 - learning_rate: 5.0000e-06
Epoch 397/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0106 - mae: 0.0730 - val_loss: 0.0536 - val_mae: 0.2180 - learning_rate: 5.0000e-06
Epoch 398/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0104 - mae: 0.0734 - val_loss: 0.0534 - val_mae: 0.2176 - learning_rate: 5.0000e-06
Epoch 399/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0120 - mae: 0.0776 - val_loss: 0.0534 - val_mae: 0.2176 - learning_rate: 5.0000e-06
Epoch 400/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0162 - mae: 0.0886 - val_loss: 0.0532 - val_mae: 0.2172 - learning_rate: 5.0000e-06
Epoch 401/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 92ms/step - loss: 0.0143 - mae: 0.0796 - val_loss: 0.0531 - val_mae: 0.2169 - learning_rate: 5.0000e-06
Epoch 402/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0109 - mae: 0.0750 - val_loss: 0.0529 - val_mae: 0.2165 - learning_rate: 5.0000e-06
Epoch 403/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0146 - mae: 0.0817 - val_loss: 0.0527 - val_mae: 0.2161 - learning_rate: 5.0000e-06
Epoch 404/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0140 - mae: 0.0820 - val_loss: 0.0527 - val_mae: 0.2161 - learning_rate: 5.0000e-06
Epoch 405/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 82ms/step - loss: 0.0131 - mae: 0.0827 - val_loss: 0.0525 - val_mae: 0.2156 - learning_rate: 5.0000e-06
Epoch 406/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 73ms/step - loss: 0.0142 - mae: 0.0837 - val_loss: 0.0523 - val_mae: 0.2152 - learning_rate: 5.0000e-06
Epoch 407/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 45ms/step - loss: 0.0129 - mae: 0.0812 - val_loss: 0.0522 - val_mae: 0.2148 - learning_rate: 5.0000e-06
Epoch 408/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 48ms/step - loss: 0.0132 - mae: 0.0812 - val_loss: 0.0518 - val_mae: 0.2140 - learning_rate: 5.0000e-06
Epoch 409/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 62ms/step - loss: 0.0116 - mae: 0.0739 - val_loss: 0.0517 - val_mae: 0.2136 - learning_rate: 5.0000e-06
Epoch 410/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 80ms/step - loss: 0.0132 - mae: 0.0847 - val_loss: 0.0516 - val_mae: 0.2135 - learning_rate: 5.0000e-06
Epoch 411/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 76ms/step - loss: 0.0119 - mae: 0.0735 - val_loss: 0.0516 - val_mae: 0.2134 - learning_rate: 5.0000e-06
Epoch 412/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0114 - mae: 0.0739 - val_loss: 0.0515 - val_mae: 0.2133 - learning_rate: 5.0000e-06
Epoch 413/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0130 - mae: 0.0782 - val_loss: 0.0514 - val_mae: 0.2130 - learning_rate: 5.0000e-06
Epoch 414/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 105ms/step - loss: 0.0130 - mae: 0.0799 - val_loss: 0.0512 - val_mae: 0.2126 - learning_rate: 5.0000e-06
Epoch 415/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step - loss: 0.0098 - mae: 0.0711 - val_loss: 0.0512 - val_mae: 0.2126 - learning_rate: 5.0000e-06
Epoch 416/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0120 - mae: 0.0764 - val_loss: 0.0513 - val_mae: 0.2129 - learning_rate: 5.0000e-06
Epoch 417/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0131 - mae: 0.0806 - val_loss: 0.0512 - val_mae: 0.2127 - learning_rate: 5.0000e-06
Epoch 418/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 111ms/step - loss: 0.0128 - mae: 0.0780 - val_loss: 0.0511 - val_mae: 0.2124 - learning_rate: 2.5000e-06
Epoch 419/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0131 - mae: 0.0830 - val_loss: 0.0510 - val_mae: 0.2120 - learning_rate: 2.5000e-06
Epoch 420/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0133 - mae: 0.0783 - val_loss: 0.0508 - val_mae: 0.2117 - learning_rate: 2.5000e-06
Epoch 421/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0157 - mae: 0.0856 - val_loss: 0.0507 - val_mae: 0.2114 - learning_rate: 2.5000e-06
Epoch 422/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0149 - mae: 0.0785 - val_loss: 0.0506 - val_mae: 0.2113 - learning_rate: 2.5000e-06
Epoch 423/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0115 - mae: 0.0707 - val_loss: 0.0504 - val_mae: 0.2108 - learning_rate: 2.5000e-06
Epoch 424/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0136 - mae: 0.0846 - val_loss: 0.0503 - val_mae: 0.2106 - learning_rate: 2.5000e-06
Epoch 425/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step - loss: 0.0147 - mae: 0.0857 - val_loss: 0.0504 - val_mae: 0.2107 - learning_rate: 2.5000e-06
Epoch 426/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0161 - mae: 0.0855 - val_loss: 0.0503 - val_mae: 0.2106 - learning_rate: 2.5000e-06
Epoch 427/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 65ms/step - loss: 0.0144 - mae: 0.0842 - val_loss: 0.0503 - val_mae: 0.2106 - learning_rate: 1.2500e-06
Epoch 428/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 67ms/step - loss: 0.0138 - mae: 0.0802 - val_loss: 0.0503 - val_mae: 0.2106 - learning_rate: 1.2500e-06
Epoch 429/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 91ms/step - loss: 0.0150 - mae: 0.0861 - val_loss: 0.0503 - val_mae: 0.2105 - learning_rate: 1.2500e-06
Epoch 430/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 48ms/step - loss: 0.0130 - mae: 0.0814 - val_loss: 0.0503 - val_mae: 0.2105 - learning_rate: 1.2500e-06
Epoch 431/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0131 - mae: 0.0777 - val_loss: 0.0503 - val_mae: 0.2105 - learning_rate: 6.2500e-07
Epoch 432/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 87ms/step - loss: 0.0132 - mae: 0.0789 - val_loss: 0.0503 - val_mae: 0.2104 - learning_rate: 6.2500e-07
Epoch 433/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 74ms/step - loss: 0.0131 - mae: 0.0840 - val_loss: 0.0502 - val_mae: 0.2104 - learning_rate: 6.2500e-07
Epoch 434/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 56ms/step - loss: 0.0137 - mae: 0.0818 - val_loss: 0.0502 - val_mae: 0.2104 - learning_rate: 3.1250e-07
Epoch 435/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0112 - mae: 0.0760 - val_loss: 0.0502 - val_mae: 0.2103 - learning_rate: 3.1250e-07
Epoch 436/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0131 - mae: 0.0800 - val_loss: 0.0502 - val_mae: 0.2103 - learning_rate: 3.1250e-07
Epoch 437/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 47ms/step - loss: 0.0158 - mae: 0.0847 - val_loss: 0.0502 - val_mae: 0.2103 - learning_rate: 3.1250e-07
Epoch 438/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0172 - mae: 0.0892 - val_loss: 0.0502 - val_mae: 0.2103 - learning_rate: 3.1250e-07
Epoch 439/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 42ms/step - loss: 0.0158 - mae: 0.0844 - val_loss: 0.0502 - val_mae: 0.2103 - learning_rate: 3.1250e-07
Epoch 440/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0127 - mae: 0.0792 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5625e-07
Epoch 441/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step - loss: 0.0120 - mae: 0.0781 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5625e-07
Epoch 442/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 39ms/step - loss: 0.0163 - mae: 0.0870 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5625e-07
Epoch 443/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0110 - mae: 0.0760 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 7.8125e-08
Epoch 444/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0117 - mae: 0.0772 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 7.8125e-08
Epoch 445/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 49ms/step - loss: 0.0184 - mae: 0.0898 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 7.8125e-08
Epoch 446/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0107 - mae: 0.0714 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.9062e-08
Epoch 447/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0109 - mae: 0.0747 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.9062e-08
Epoch 448/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0173 - mae: 0.0900 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.9062e-08
Epoch 449/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 44ms/step - loss: 0.0124 - mae: 0.0760 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.9531e-08
Epoch 450/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 75ms/step - loss: 0.0135 - mae: 0.0802 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.9531e-08
Epoch 451/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 81ms/step - loss: 0.0114 - mae: 0.0760 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.9531e-08
Epoch 452/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 77ms/step - loss: 0.0118 - mae: 0.0754 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 9.7656e-09
Epoch 453/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 88ms/step - loss: 0.0141 - mae: 0.0831 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 9.7656e-09
Epoch 454/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0142 - mae: 0.0800 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 9.7656e-09
Epoch 455/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 72ms/step - loss: 0.0111 - mae: 0.0748 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 4.8828e-09
Epoch 456/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 85ms/step - loss: 0.0131 - mae: 0.0834 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 4.8828e-09
Epoch 457/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 94ms/step - loss: 0.0136 - mae: 0.0798 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 4.8828e-09
Epoch 458/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0138 - mae: 0.0811 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 2.4414e-09
Epoch 459/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 55ms/step - loss: 0.0134 - mae: 0.0771 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 2.4414e-09
Epoch 460/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 63ms/step - loss: 0.0106 - mae: 0.0716 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 2.4414e-09
Epoch 461/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 84ms/step - loss: 0.0139 - mae: 0.0823 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.2207e-09
Epoch 462/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 30ms/step - loss: 0.0116 - mae: 0.0795 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.2207e-09
Epoch 463/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0134 - mae: 0.0776 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.2207e-09
Epoch 464/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 50ms/step - loss: 0.0143 - mae: 0.0809 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 6.1035e-10
Epoch 465/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 71ms/step - loss: 0.0139 - mae: 0.0795 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 6.1035e-10
Epoch 466/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 58ms/step - loss: 0.0118 - mae: 0.0724 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 6.1035e-10
Epoch 467/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 53ms/step - loss: 0.0152 - mae: 0.0817 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.0518e-10
Epoch 468/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 60ms/step - loss: 0.0153 - mae: 0.0821 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.0518e-10
Epoch 469/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 47ms/step - loss: 0.0103 - mae: 0.0705 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 3.0518e-10
Epoch 470/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 69ms/step - loss: 0.0133 - mae: 0.0815 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5259e-10
Epoch 471/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 61ms/step - loss: 0.0115 - mae: 0.0782 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5259e-10
Epoch 472/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step - loss: 0.0095 - mae: 0.0698 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 1.5259e-10
Epoch 473/1000
10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 57ms/step - loss: 0.0152 - mae: 0.0869 - val_loss: 0.0502 - val_mae: 0.2102 - learning_rate: 7.6294e-11
5/5 ━━━━━━━━━━━━━━━━━━━━ 3s 326ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 15ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 45ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 15ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 36ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 22ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 31ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 40ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 24ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 19ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 41ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 35ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 33ms/step
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5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 27ms/step
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5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 13ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 7ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 14ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 9ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 25ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 17ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 16ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 10ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 8ms/step 
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 12ms/step
5/5 ━━━━━━━━━━━━━━━━━━━━ 0s 11ms/step
Regression Metrics:
  MSE: 86397258.9970
  MAE: 6791.3632
  RMSE: 9295.0126
  R2 Score: -0.7156
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001051 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
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[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000610 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000680 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000803 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000541 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000593 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001150 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000629 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001410 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000638 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000801 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000572 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000606 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000843 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000768 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000519 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000464 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000608 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000533 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000480 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001118 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001342 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000517 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000987 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000968 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000526 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000544 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000898 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000569 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000631 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000521 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000486 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001600 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000642 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000698 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000945 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000654 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000502 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000675 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001177 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000603 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000685 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001053 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001220 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000730 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000942 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000570 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000654 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000625 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000554 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000708 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000553 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000458 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000846 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000665 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000686 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2899
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 100
[LightGBM] [Info] Start training from score 0.520249
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000581 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2947
[LightGBM] [Info] Number of data points in the train set: 213, number of used features: 97
[LightGBM] [Info] Start training from score 0.437609
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000386 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2878
[LightGBM] [Info] Number of data points in the train set: 214, number of used features: 84
[LightGBM] [Info] Start training from score 0.225873
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000850 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 4350
[LightGBM] [Info] Number of data points in the train set: 320, number of used features: 101
[LightGBM] [Info] Start training from score 0.394314
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
Regression Metrics:
  MSE: 142862332.4424
  MAE: 9654.4726
  RMSE: 11952.5032
  R2 Score: -1.8369
Regression Metrics:
  MSE: 66048799.7305
  MAE: 6011.2938
  RMSE: 8127.0413
  R2 Score: -0.3116
In [39]:
model = {}
model['CMG'] = {
    'model': model_re_cmg,
    'X_scaler': x_scaler_re_cmg,
    'y_scaler': y_scaler_re_cmg,
    'metrics': metrics_re_cmg,
    'feature importance': importance_re_cmg
}
model['FPT'] = {
    'model': model_re_fpt,
    'X_scaler': x_scaler_re_fpt,
    'y_scaler': y_scaler_re_fpt,
    'metrics': metrics_re_fpt,
    'feature importance': importance_re_fpt
}
In [40]:
for k1, v1 in model.items():
    print(k1)
    for k2, v2 in v1.items():
        print(k2)
        if type(v2) == 'dict':
            for k3, v3 in v2.items():
                print(k3)
                print(v3)
        else:
            print(v2)

CMG
model
LGBMRegressor(n_estimators=142, num_leaves=34, random_state=42)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 2243672.152304833, 'mae': 1263.7487688436843, 'rmse': 1497.8892323215468, 'r2_score': 0.5393093362219095}
feature importance
                               feature  importance
12                       predict_value         166
1                             Change %         133
13                     Close_ma_3_days          97
31                  Change %_ma_3_days          82
33                Change %_lags_1_days          76
30                  Volume_lags_7_days          67
26                  Volume_lags_3_days          66
22                    Volume_ma_3_days          62
39                Change %_lags_7_days          59
24                  Volume_lags_1_days          59
32                  Change %_ma_7_days          58
23                    Volume_ma_7_days          55
27                  Volume_lags_4_days          47
28                  Volume_lags_5_days          46
15                   Close_lags_1_days          44
139                            Prob_up          43
21                   Close_lags_7_days          43
25                  Volume_lags_2_days          41
138          predict_value_lags_7_days          39
35                Change %_lags_3_days          36
29                  Volume_lags_6_days          35
19                   Close_lags_5_days          34
0                               Volume          32
17                   Close_lags_3_days          31
14                     Close_ma_7_days          31
38                Change %_lags_6_days          29
34                Change %_lags_2_days          29
37                Change %_lags_5_days          26
18                   Close_lags_4_days          26
136          predict_value_lags_5_days          25
131            predict_value_ma_7_days          19
36                Change %_lags_4_days          18
132          predict_value_lags_1_days          17
133          predict_value_lags_2_days          15
16                   Close_lags_2_days          14
20                   Close_lags_6_days          13
113    it_total_executed_vol_ma_7_days          12
130            predict_value_ma_3_days          10
137          predict_value_lags_6_days           9
134          predict_value_lags_3_days           8
120  it_total_executed_vol_lags_7_days           8
116  it_total_executed_vol_lags_3_days           7
112    it_total_executed_vol_ma_3_days           6
135          predict_value_lags_4_days           5
10               it_total_executed_vol           4
119  it_total_executed_vol_lags_6_days           4
115  it_total_executed_vol_lags_2_days           4
118  it_total_executed_vol_lags_5_days           3
103           it_event_count_ma_3_days           2
114  it_total_executed_vol_lags_1_days           2
84         div_event_count_lags_7_days           1
109         it_event_count_lags_5_days           1
104           it_event_count_ma_7_days           1
117  it_total_executed_vol_lags_4_days           1
6                      div_event_count           1
121      meeting_event_count_ma_3_days           0
101  div_total_bonus_ratio_lags_6_days           0
89           div_total_vnd_lags_3_days           0
2                           news_count           0
90           div_total_vnd_lags_4_days           0
91           div_total_vnd_lags_5_days           0
92           div_total_vnd_lags_6_days           0
93           div_total_vnd_lags_7_days           0
94     div_total_bonus_ratio_ma_3_days           0
95     div_total_bonus_ratio_ma_7_days           0
96   div_total_bonus_ratio_lags_1_days           0
97   div_total_bonus_ratio_lags_2_days           0
98   div_total_bonus_ratio_lags_3_days           0
99   div_total_bonus_ratio_lags_4_days           0
100  div_total_bonus_ratio_lags_5_days           0
102  div_total_bonus_ratio_lags_7_days           0
87           div_total_vnd_lags_1_days           0
129    meeting_event_count_lags_7_days           0
128    meeting_event_count_lags_6_days           0
105         it_event_count_lags_1_days           0
106         it_event_count_lags_2_days           0
107         it_event_count_lags_3_days           0
108         it_event_count_lags_4_days           0
127    meeting_event_count_lags_5_days           0
110         it_event_count_lags_6_days           0
111         it_event_count_lags_7_days           0
126    meeting_event_count_lags_4_days           0
125    meeting_event_count_lags_3_days           0
124    meeting_event_count_lags_2_days           0
123    meeting_event_count_lags_1_days           0
122      meeting_event_count_ma_7_days           0
88           div_total_vnd_lags_2_days           0
81         div_event_count_lags_4_days           0
86             div_total_vnd_ma_7_days           0
85             div_total_vnd_ma_3_days           0
56       news_total_pos_kw_lags_6_days           0
55       news_total_pos_kw_lags_5_days           0
54       news_total_pos_kw_lags_4_days           0
53       news_total_pos_kw_lags_3_days           0
52       news_total_pos_kw_lags_2_days           0
51       news_total_pos_kw_lags_1_days           0
50         news_total_pos_kw_ma_7_days           0
49         news_total_pos_kw_ma_3_days           0
48              news_count_lags_7_days           0
47              news_count_lags_6_days           0
46              news_count_lags_5_days           0
45              news_count_lags_4_days           0
44              news_count_lags_3_days           0
43              news_count_lags_2_days           0
42              news_count_lags_1_days           0
41                news_count_ma_7_days           0
40                news_count_ma_3_days           0
4                    news_total_neg_kw           0
5                   news_llm_sentiment           0
7                        div_total_vnd           0
8                div_total_bonus_ratio           0
9                       it_event_count           0
11                 meeting_event_count           0
57       news_total_pos_kw_lags_7_days           0
58         news_total_neg_kw_ma_3_days           0
59         news_total_neg_kw_ma_7_days           0
72      news_llm_sentiment_lags_4_days           0
83         div_event_count_lags_6_days           0
82         div_event_count_lags_5_days           0
80         div_event_count_lags_3_days           0
79         div_event_count_lags_2_days           0
78         div_event_count_lags_1_days           0
77           div_event_count_ma_7_days           0
76           div_event_count_ma_3_days           0
75      news_llm_sentiment_lags_7_days           0
74      news_llm_sentiment_lags_6_days           0
73      news_llm_sentiment_lags_5_days           0
71      news_llm_sentiment_lags_3_days           0
60       news_total_neg_kw_lags_1_days           0
3                    news_total_pos_kw           0
69      news_llm_sentiment_lags_1_days           0
68        news_llm_sentiment_ma_7_days           0
67        news_llm_sentiment_ma_3_days           0
66       news_total_neg_kw_lags_7_days           0
65       news_total_neg_kw_lags_6_days           0
64       news_total_neg_kw_lags_5_days           0
63       news_total_neg_kw_lags_4_days           0
62       news_total_neg_kw_lags_3_days           0
61       news_total_neg_kw_lags_2_days           0
70      news_llm_sentiment_lags_2_days           0
FPT
model
XGBRegressor(base_score=None, booster=None, callbacks=None,
             colsample_bylevel=None, colsample_bynode=None,
             colsample_bytree=None, device=None, early_stopping_rounds=None,
             enable_categorical=False, eval_metric=None, feature_types=None,
             feature_weights=None, gamma=None, grow_policy=None,
             importance_type=None, interaction_constraints=None,
             learning_rate=None, max_bin=None, max_cat_threshold=None,
             max_cat_to_onehot=None, max_delta_step=None, max_depth=6,
             max_leaves=None, min_child_weight=None, missing=nan,
             monotone_constraints=None, multi_strategy=None, n_estimators=87,
             n_jobs=None, num_parallel_tree=None, ...)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 66048799.730470516, 'mae': 6011.293817934783, 'rmse': 8127.041265458821, 'r2_score': -0.31155477509756224}
feature importance
                               feature  importance
13                     Close_ma_3_days        0.77
12                       predict_value        0.12
15                   Close_lags_1_days        0.05
14                     Close_ma_7_days        0.03
18                   Close_lags_4_days        0.02
19                   Close_lags_5_days        0.00
16                   Close_lags_2_days        0.00
20                   Close_lags_6_days        0.00
3                    news_total_pos_kw        0.00
31                  Change %_ma_3_days        0.00
134          predict_value_lags_3_days        0.00
32                  Change %_ma_7_days        0.00
41                news_count_ma_7_days        0.00
1                             Change %        0.00
77           div_event_count_ma_7_days        0.00
17                   Close_lags_3_days        0.00
72      news_llm_sentiment_lags_4_days        0.00
137          predict_value_lags_6_days        0.00
33                Change %_lags_1_days        0.00
24                  Volume_lags_1_days        0.00
27                  Volume_lags_4_days        0.00
28                  Volume_lags_5_days        0.00
34                Change %_lags_2_days        0.00
52       news_total_pos_kw_lags_2_days        0.00
40                news_count_ma_3_days        0.00
135          predict_value_lags_4_days        0.00
71      news_llm_sentiment_lags_3_days        0.00
23                    Volume_ma_7_days        0.00
21                   Close_lags_7_days        0.00
0                               Volume        0.00
35                Change %_lags_3_days        0.00
138          predict_value_lags_7_days        0.00
139                            Prob_up        0.00
130            predict_value_ma_3_days        0.00
51       news_total_pos_kw_lags_1_days        0.00
29                  Volume_lags_6_days        0.00
39                Change %_lags_7_days        0.00
22                    Volume_ma_3_days        0.00
30                  Volume_lags_7_days        0.00
26                  Volume_lags_3_days        0.00
112    it_total_executed_vol_ma_3_days        0.00
25                  Volume_lags_2_days        0.00
132          predict_value_lags_1_days        0.00
57       news_total_pos_kw_lags_7_days        0.00
10               it_total_executed_vol        0.00
75      news_llm_sentiment_lags_7_days        0.00
43              news_count_lags_2_days        0.00
131            predict_value_ma_7_days        0.00
36                Change %_lags_4_days        0.00
38                Change %_lags_6_days        0.00
133          predict_value_lags_2_days        0.00
50         news_total_pos_kw_ma_7_days        0.00
67        news_llm_sentiment_ma_3_days        0.00
68        news_llm_sentiment_ma_7_days        0.00
136          predict_value_lags_5_days        0.00
37                Change %_lags_5_days        0.00
49         news_total_pos_kw_ma_3_days        0.00
113    it_total_executed_vol_ma_7_days        0.00
45              news_count_lags_4_days        0.00
108         it_event_count_lags_4_days        0.00
111         it_event_count_lags_7_days        0.00
110         it_event_count_lags_6_days        0.00
109         it_event_count_lags_5_days        0.00
103           it_event_count_ma_3_days        0.00
107         it_event_count_lags_3_days        0.00
106         it_event_count_lags_2_days        0.00
105         it_event_count_lags_1_days        0.00
104           it_event_count_ma_7_days        0.00
99   div_total_bonus_ratio_lags_4_days        0.00
102  div_total_bonus_ratio_lags_7_days        0.00
98   div_total_bonus_ratio_lags_3_days        0.00
101  div_total_bonus_ratio_lags_6_days        0.00
100  div_total_bonus_ratio_lags_5_days        0.00
114  it_total_executed_vol_lags_1_days        0.00
122      meeting_event_count_ma_7_days        0.00
115  it_total_executed_vol_lags_2_days        0.00
116  it_total_executed_vol_lags_3_days        0.00
2                           news_count        0.00
4                    news_total_neg_kw        0.00
5                   news_llm_sentiment        0.00
6                      div_event_count        0.00
129    meeting_event_count_lags_7_days        0.00
128    meeting_event_count_lags_6_days        0.00
127    meeting_event_count_lags_5_days        0.00
126    meeting_event_count_lags_4_days        0.00
125    meeting_event_count_lags_3_days        0.00
124    meeting_event_count_lags_2_days        0.00
123    meeting_event_count_lags_1_days        0.00
96   div_total_bonus_ratio_lags_1_days        0.00
121      meeting_event_count_ma_3_days        0.00
120  it_total_executed_vol_lags_7_days        0.00
119  it_total_executed_vol_lags_6_days        0.00
118  it_total_executed_vol_lags_5_days        0.00
117  it_total_executed_vol_lags_4_days        0.00
97   div_total_bonus_ratio_lags_2_days        0.00
86             div_total_vnd_ma_7_days        0.00
95     div_total_bonus_ratio_ma_7_days        0.00
94     div_total_bonus_ratio_ma_3_days        0.00
66       news_total_neg_kw_lags_7_days        0.00
65       news_total_neg_kw_lags_6_days        0.00
64       news_total_neg_kw_lags_5_days        0.00
63       news_total_neg_kw_lags_4_days        0.00
62       news_total_neg_kw_lags_3_days        0.00
61       news_total_neg_kw_lags_2_days        0.00
60       news_total_neg_kw_lags_1_days        0.00
59         news_total_neg_kw_ma_7_days        0.00
58         news_total_neg_kw_ma_3_days        0.00
56       news_total_pos_kw_lags_6_days        0.00
55       news_total_pos_kw_lags_5_days        0.00
54       news_total_pos_kw_lags_4_days        0.00
53       news_total_pos_kw_lags_3_days        0.00
11                 meeting_event_count        0.00
48              news_count_lags_7_days        0.00
47              news_count_lags_6_days        0.00
46              news_count_lags_5_days        0.00
44              news_count_lags_3_days        0.00
42              news_count_lags_1_days        0.00
69      news_llm_sentiment_lags_1_days        0.00
9                       it_event_count        0.00
8                div_total_bonus_ratio        0.00
84         div_event_count_lags_7_days        0.00
93           div_total_vnd_lags_7_days        0.00
92           div_total_vnd_lags_6_days        0.00
91           div_total_vnd_lags_5_days        0.00
90           div_total_vnd_lags_4_days        0.00
89           div_total_vnd_lags_3_days        0.00
88           div_total_vnd_lags_2_days        0.00
87           div_total_vnd_lags_1_days        0.00
85             div_total_vnd_ma_3_days        0.00
83         div_event_count_lags_6_days        0.00
73      news_llm_sentiment_lags_5_days        0.00
82         div_event_count_lags_5_days        0.00
81         div_event_count_lags_4_days        0.00
80         div_event_count_lags_3_days        0.00
79         div_event_count_lags_2_days        0.00
78         div_event_count_lags_1_days        0.00
7                        div_total_vnd        0.00
76           div_event_count_ma_3_days        0.00
74      news_llm_sentiment_lags_6_days        0.00
70      news_llm_sentiment_lags_2_days        0.00
In [41]:
folder = 'meta model result'
def check_lstm(model):
    try:
        for layer in model.layers:
            if isinstance(layer, LSTM):
                return True
    except:
        return False
os.makedirs(folder, exist_ok=True)
for k1, v1 in model.items():
    os.makedirs(f"{folder}/{k1}", exist_ok=True)
    for k2, v2 in v1.items():
        os.makedirs(f"{folder}/{k1}/{k2}", exist_ok=True)
        if k2 == 'model':
            if check_lstm(v2):
                v2.save(f"{folder}/{k1}/{k2}/model.keras")
            else:
                joblib.dump(v2, f"{folder}/{k1}/{k2}/model.pkl")
        elif k2 == 'X_scaler':
            joblib.dump(v2, f"{folder}/{k1}/{k2}/scaler.pkl")
        elif k2 == 'y_scaler':
            joblib.dump(v2, f"{folder}/{k1}/{k2}/scaler.pkl")
        elif k2 == 'metrics':
            with open(f"{folder}/{k1}/{k2}/metrics.json", 'w') as f:
                json.dump(v2, f)
        elif k2 == 'feature importance':
            v2.to_csv(f"{folder}/{k1}/{k2}/feature_importance.csv", index=False)
In [42]:
def plot_actual_vs_predicted(actual, predicted, ticker):
    plt.figure(figsize=(12, 6))
    plt.plot(actual, label='Actual', marker='o')
    plt.plot(predicted, label='Predicted', marker='x')
    plt.title(f'Actual vs Predicted Stock Prices for {ticker}')
    plt.xlabel('Time')
    plt.ylabel('Value')
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.show()
In [43]:
def compare(df, predict, ticker, ratio):
    split_idx = int(ratio * df.shape[0])
    actual_df = df.iloc[split_idx:][['Target']]
    predicted_df = pd.DataFrame(predict, columns=['Predicted'], index=actual_df.index)
    result = pd.concat([actual_df, predicted_df], axis=1)
    plot_actual_vs_predicted(result['Target'], result['Predicted'], ticker)
    return None
compare(regressor_cmg, prob_pred_re_cmg,'CMG',0.7)
compare(regressor_fpt, prob_pred_re_fpt,'FPT',0.7)
No description has been provided for this image
No description has been provided for this image
In [44]:
def predict_and_save(model, X_input_raw, x_scaler, y_scaler, ticker):
    # 1. Scale X
    X_scaled = x_scaler.transform(X_input_raw)
    # 2. Dự đoán
    if isinstance(model, Sequential):
        X_scaled = X_scaled.reshape((X_scaled.shape[0], 1, X_scaled.shape[1]))
        pred_scaled = model.predict(X_scaled)
    else:
        pred_scaled = model.predict(X_scaled).reshape(-1, 1)
    # 3. Scale ngược dự đoán trở lại giá trị đúng
    pred = y_scaler.inverse_transform(pred_scaled).flatten()
    # 4. Tạo DataFrame
    result_df = pd.DataFrame({f'Prediction value': pred}, index=X_input_raw.index)
    os.makedirs(f"{folder}/Total prediction value", exist_ok=True)
    save_path = f"{folder}/Total prediction value/prediction_{ticker}.csv"
    result_df.to_csv(save_path)
    return result_df
In [45]:
for k1, v1 in model.items():
    print(k1)
    for k2, v2 in v1.items():
        print(k2)
        if type(v2) == 'dict':
            for k3, v3 in v2.items():
                print(k3)
                print(v3)
        else:
            print(v2)

CMG
model
LGBMRegressor(n_estimators=142, num_leaves=34, random_state=42)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 2243672.152304833, 'mae': 1263.7487688436843, 'rmse': 1497.8892323215468, 'r2_score': 0.5393093362219095}
feature importance
                               feature  importance
12                       predict_value         166
1                             Change %         133
13                     Close_ma_3_days          97
31                  Change %_ma_3_days          82
33                Change %_lags_1_days          76
30                  Volume_lags_7_days          67
26                  Volume_lags_3_days          66
22                    Volume_ma_3_days          62
39                Change %_lags_7_days          59
24                  Volume_lags_1_days          59
32                  Change %_ma_7_days          58
23                    Volume_ma_7_days          55
27                  Volume_lags_4_days          47
28                  Volume_lags_5_days          46
15                   Close_lags_1_days          44
139                            Prob_up          43
21                   Close_lags_7_days          43
25                  Volume_lags_2_days          41
138          predict_value_lags_7_days          39
35                Change %_lags_3_days          36
29                  Volume_lags_6_days          35
19                   Close_lags_5_days          34
0                               Volume          32
17                   Close_lags_3_days          31
14                     Close_ma_7_days          31
38                Change %_lags_6_days          29
34                Change %_lags_2_days          29
37                Change %_lags_5_days          26
18                   Close_lags_4_days          26
136          predict_value_lags_5_days          25
131            predict_value_ma_7_days          19
36                Change %_lags_4_days          18
132          predict_value_lags_1_days          17
133          predict_value_lags_2_days          15
16                   Close_lags_2_days          14
20                   Close_lags_6_days          13
113    it_total_executed_vol_ma_7_days          12
130            predict_value_ma_3_days          10
137          predict_value_lags_6_days           9
134          predict_value_lags_3_days           8
120  it_total_executed_vol_lags_7_days           8
116  it_total_executed_vol_lags_3_days           7
112    it_total_executed_vol_ma_3_days           6
135          predict_value_lags_4_days           5
10               it_total_executed_vol           4
119  it_total_executed_vol_lags_6_days           4
115  it_total_executed_vol_lags_2_days           4
118  it_total_executed_vol_lags_5_days           3
103           it_event_count_ma_3_days           2
114  it_total_executed_vol_lags_1_days           2
84         div_event_count_lags_7_days           1
109         it_event_count_lags_5_days           1
104           it_event_count_ma_7_days           1
117  it_total_executed_vol_lags_4_days           1
6                      div_event_count           1
121      meeting_event_count_ma_3_days           0
101  div_total_bonus_ratio_lags_6_days           0
89           div_total_vnd_lags_3_days           0
2                           news_count           0
90           div_total_vnd_lags_4_days           0
91           div_total_vnd_lags_5_days           0
92           div_total_vnd_lags_6_days           0
93           div_total_vnd_lags_7_days           0
94     div_total_bonus_ratio_ma_3_days           0
95     div_total_bonus_ratio_ma_7_days           0
96   div_total_bonus_ratio_lags_1_days           0
97   div_total_bonus_ratio_lags_2_days           0
98   div_total_bonus_ratio_lags_3_days           0
99   div_total_bonus_ratio_lags_4_days           0
100  div_total_bonus_ratio_lags_5_days           0
102  div_total_bonus_ratio_lags_7_days           0
87           div_total_vnd_lags_1_days           0
129    meeting_event_count_lags_7_days           0
128    meeting_event_count_lags_6_days           0
105         it_event_count_lags_1_days           0
106         it_event_count_lags_2_days           0
107         it_event_count_lags_3_days           0
108         it_event_count_lags_4_days           0
127    meeting_event_count_lags_5_days           0
110         it_event_count_lags_6_days           0
111         it_event_count_lags_7_days           0
126    meeting_event_count_lags_4_days           0
125    meeting_event_count_lags_3_days           0
124    meeting_event_count_lags_2_days           0
123    meeting_event_count_lags_1_days           0
122      meeting_event_count_ma_7_days           0
88           div_total_vnd_lags_2_days           0
81         div_event_count_lags_4_days           0
86             div_total_vnd_ma_7_days           0
85             div_total_vnd_ma_3_days           0
56       news_total_pos_kw_lags_6_days           0
55       news_total_pos_kw_lags_5_days           0
54       news_total_pos_kw_lags_4_days           0
53       news_total_pos_kw_lags_3_days           0
52       news_total_pos_kw_lags_2_days           0
51       news_total_pos_kw_lags_1_days           0
50         news_total_pos_kw_ma_7_days           0
49         news_total_pos_kw_ma_3_days           0
48              news_count_lags_7_days           0
47              news_count_lags_6_days           0
46              news_count_lags_5_days           0
45              news_count_lags_4_days           0
44              news_count_lags_3_days           0
43              news_count_lags_2_days           0
42              news_count_lags_1_days           0
41                news_count_ma_7_days           0
40                news_count_ma_3_days           0
4                    news_total_neg_kw           0
5                   news_llm_sentiment           0
7                        div_total_vnd           0
8                div_total_bonus_ratio           0
9                       it_event_count           0
11                 meeting_event_count           0
57       news_total_pos_kw_lags_7_days           0
58         news_total_neg_kw_ma_3_days           0
59         news_total_neg_kw_ma_7_days           0
72      news_llm_sentiment_lags_4_days           0
83         div_event_count_lags_6_days           0
82         div_event_count_lags_5_days           0
80         div_event_count_lags_3_days           0
79         div_event_count_lags_2_days           0
78         div_event_count_lags_1_days           0
77           div_event_count_ma_7_days           0
76           div_event_count_ma_3_days           0
75      news_llm_sentiment_lags_7_days           0
74      news_llm_sentiment_lags_6_days           0
73      news_llm_sentiment_lags_5_days           0
71      news_llm_sentiment_lags_3_days           0
60       news_total_neg_kw_lags_1_days           0
3                    news_total_pos_kw           0
69      news_llm_sentiment_lags_1_days           0
68        news_llm_sentiment_ma_7_days           0
67        news_llm_sentiment_ma_3_days           0
66       news_total_neg_kw_lags_7_days           0
65       news_total_neg_kw_lags_6_days           0
64       news_total_neg_kw_lags_5_days           0
63       news_total_neg_kw_lags_4_days           0
62       news_total_neg_kw_lags_3_days           0
61       news_total_neg_kw_lags_2_days           0
70      news_llm_sentiment_lags_2_days           0
FPT
model
XGBRegressor(base_score=None, booster=None, callbacks=None,
             colsample_bylevel=None, colsample_bynode=None,
             colsample_bytree=None, device=None, early_stopping_rounds=None,
             enable_categorical=False, eval_metric=None, feature_types=None,
             feature_weights=None, gamma=None, grow_policy=None,
             importance_type=None, interaction_constraints=None,
             learning_rate=None, max_bin=None, max_cat_threshold=None,
             max_cat_to_onehot=None, max_delta_step=None, max_depth=6,
             max_leaves=None, min_child_weight=None, missing=nan,
             monotone_constraints=None, multi_strategy=None, n_estimators=87,
             n_jobs=None, num_parallel_tree=None, ...)
X_scaler
MinMaxScaler()
y_scaler
MinMaxScaler()
metrics
{'mse': 66048799.730470516, 'mae': 6011.293817934783, 'rmse': 8127.041265458821, 'r2_score': -0.31155477509756224}
feature importance
                               feature  importance
13                     Close_ma_3_days        0.77
12                       predict_value        0.12
15                   Close_lags_1_days        0.05
14                     Close_ma_7_days        0.03
18                   Close_lags_4_days        0.02
19                   Close_lags_5_days        0.00
16                   Close_lags_2_days        0.00
20                   Close_lags_6_days        0.00
3                    news_total_pos_kw        0.00
31                  Change %_ma_3_days        0.00
134          predict_value_lags_3_days        0.00
32                  Change %_ma_7_days        0.00
41                news_count_ma_7_days        0.00
1                             Change %        0.00
77           div_event_count_ma_7_days        0.00
17                   Close_lags_3_days        0.00
72      news_llm_sentiment_lags_4_days        0.00
137          predict_value_lags_6_days        0.00
33                Change %_lags_1_days        0.00
24                  Volume_lags_1_days        0.00
27                  Volume_lags_4_days        0.00
28                  Volume_lags_5_days        0.00
34                Change %_lags_2_days        0.00
52       news_total_pos_kw_lags_2_days        0.00
40                news_count_ma_3_days        0.00
135          predict_value_lags_4_days        0.00
71      news_llm_sentiment_lags_3_days        0.00
23                    Volume_ma_7_days        0.00
21                   Close_lags_7_days        0.00
0                               Volume        0.00
35                Change %_lags_3_days        0.00
138          predict_value_lags_7_days        0.00
139                            Prob_up        0.00
130            predict_value_ma_3_days        0.00
51       news_total_pos_kw_lags_1_days        0.00
29                  Volume_lags_6_days        0.00
39                Change %_lags_7_days        0.00
22                    Volume_ma_3_days        0.00
30                  Volume_lags_7_days        0.00
26                  Volume_lags_3_days        0.00
112    it_total_executed_vol_ma_3_days        0.00
25                  Volume_lags_2_days        0.00
132          predict_value_lags_1_days        0.00
57       news_total_pos_kw_lags_7_days        0.00
10               it_total_executed_vol        0.00
75      news_llm_sentiment_lags_7_days        0.00
43              news_count_lags_2_days        0.00
131            predict_value_ma_7_days        0.00
36                Change %_lags_4_days        0.00
38                Change %_lags_6_days        0.00
133          predict_value_lags_2_days        0.00
50         news_total_pos_kw_ma_7_days        0.00
67        news_llm_sentiment_ma_3_days        0.00
68        news_llm_sentiment_ma_7_days        0.00
136          predict_value_lags_5_days        0.00
37                Change %_lags_5_days        0.00
49         news_total_pos_kw_ma_3_days        0.00
113    it_total_executed_vol_ma_7_days        0.00
45              news_count_lags_4_days        0.00
108         it_event_count_lags_4_days        0.00
111         it_event_count_lags_7_days        0.00
110         it_event_count_lags_6_days        0.00
109         it_event_count_lags_5_days        0.00
103           it_event_count_ma_3_days        0.00
107         it_event_count_lags_3_days        0.00
106         it_event_count_lags_2_days        0.00
105         it_event_count_lags_1_days        0.00
104           it_event_count_ma_7_days        0.00
99   div_total_bonus_ratio_lags_4_days        0.00
102  div_total_bonus_ratio_lags_7_days        0.00
98   div_total_bonus_ratio_lags_3_days        0.00
101  div_total_bonus_ratio_lags_6_days        0.00
100  div_total_bonus_ratio_lags_5_days        0.00
114  it_total_executed_vol_lags_1_days        0.00
122      meeting_event_count_ma_7_days        0.00
115  it_total_executed_vol_lags_2_days        0.00
116  it_total_executed_vol_lags_3_days        0.00
2                           news_count        0.00
4                    news_total_neg_kw        0.00
5                   news_llm_sentiment        0.00
6                      div_event_count        0.00
129    meeting_event_count_lags_7_days        0.00
128    meeting_event_count_lags_6_days        0.00
127    meeting_event_count_lags_5_days        0.00
126    meeting_event_count_lags_4_days        0.00
125    meeting_event_count_lags_3_days        0.00
124    meeting_event_count_lags_2_days        0.00
123    meeting_event_count_lags_1_days        0.00
96   div_total_bonus_ratio_lags_1_days        0.00
121      meeting_event_count_ma_3_days        0.00
120  it_total_executed_vol_lags_7_days        0.00
119  it_total_executed_vol_lags_6_days        0.00
118  it_total_executed_vol_lags_5_days        0.00
117  it_total_executed_vol_lags_4_days        0.00
97   div_total_bonus_ratio_lags_2_days        0.00
86             div_total_vnd_ma_7_days        0.00
95     div_total_bonus_ratio_ma_7_days        0.00
94     div_total_bonus_ratio_ma_3_days        0.00
66       news_total_neg_kw_lags_7_days        0.00
65       news_total_neg_kw_lags_6_days        0.00
64       news_total_neg_kw_lags_5_days        0.00
63       news_total_neg_kw_lags_4_days        0.00
62       news_total_neg_kw_lags_3_days        0.00
61       news_total_neg_kw_lags_2_days        0.00
60       news_total_neg_kw_lags_1_days        0.00
59         news_total_neg_kw_ma_7_days        0.00
58         news_total_neg_kw_ma_3_days        0.00
56       news_total_pos_kw_lags_6_days        0.00
55       news_total_pos_kw_lags_5_days        0.00
54       news_total_pos_kw_lags_4_days        0.00
53       news_total_pos_kw_lags_3_days        0.00
11                 meeting_event_count        0.00
48              news_count_lags_7_days        0.00
47              news_count_lags_6_days        0.00
46              news_count_lags_5_days        0.00
44              news_count_lags_3_days        0.00
42              news_count_lags_1_days        0.00
69      news_llm_sentiment_lags_1_days        0.00
9                       it_event_count        0.00
8                div_total_bonus_ratio        0.00
84         div_event_count_lags_7_days        0.00
93           div_total_vnd_lags_7_days        0.00
92           div_total_vnd_lags_6_days        0.00
91           div_total_vnd_lags_5_days        0.00
90           div_total_vnd_lags_4_days        0.00
89           div_total_vnd_lags_3_days        0.00
88           div_total_vnd_lags_2_days        0.00
87           div_total_vnd_lags_1_days        0.00
85             div_total_vnd_ma_3_days        0.00
83         div_event_count_lags_6_days        0.00
73      news_llm_sentiment_lags_5_days        0.00
82         div_event_count_lags_5_days        0.00
81         div_event_count_lags_4_days        0.00
80         div_event_count_lags_3_days        0.00
79         div_event_count_lags_2_days        0.00
78         div_event_count_lags_1_days        0.00
7                        div_total_vnd        0.00
76           div_event_count_ma_3_days        0.00
74      news_llm_sentiment_lags_6_days        0.00
70      news_llm_sentiment_lags_2_days        0.00
In [46]:
prediction_cmg = predict_and_save(
    model = model['CMG']['model'],
    X_input_raw = regressor_cmg[model['CMG']['feature importance']['feature'].to_list()],
    x_scaler = model['CMG']['X_scaler'],
    y_scaler = model['CMG']['y_scaler'],
    ticker = 'CMG'
)
prediction_fpt = predict_and_save(
    model = model['FPT']['model'],
    X_input_raw = regressor_fpt[model['FPT']['feature importance']['feature'].to_list()],
    x_scaler = model['FPT']['X_scaler'],
    y_scaler = model['FPT']['y_scaler'],
    ticker = 'FPT'
)
In [47]:
regressor_cmg[model['CMG']['feature importance']['feature'].to_list()]
Out[47]:
predict_value Change % Close_ma_3_days Change %_ma_3_days Change %_lags_1_days Volume_lags_7_days Volume_lags_3_days Volume_ma_3_days Change %_lags_7_days Volume_lags_1_days Change %_ma_7_days Volume_ma_7_days Volume_lags_4_days Volume_lags_5_days Close_lags_1_days Prob_up Close_lags_7_days Volume_lags_2_days predict_value_lags_7_days Change %_lags_3_days Volume_lags_6_days Close_lags_5_days Volume Close_lags_3_days Close_ma_7_days Change %_lags_6_days Change %_lags_2_days Change %_lags_5_days Close_lags_4_days predict_value_lags_5_days predict_value_ma_7_days Change %_lags_4_days predict_value_lags_1_days predict_value_lags_2_days Close_lags_2_days Close_lags_6_days it_total_executed_vol_ma_7_days predict_value_ma_3_days predict_value_lags_6_days predict_value_lags_3_days it_total_executed_vol_lags_7_days it_total_executed_vol_lags_3_days it_total_executed_vol_ma_3_days predict_value_lags_4_days it_total_executed_vol it_total_executed_vol_lags_6_days it_total_executed_vol_lags_2_days it_total_executed_vol_lags_5_days it_event_count_ma_3_days it_total_executed_vol_lags_1_days div_event_count_lags_7_days it_event_count_lags_5_days it_event_count_ma_7_days it_total_executed_vol_lags_4_days div_event_count meeting_event_count_ma_3_days div_total_bonus_ratio_lags_6_days div_total_vnd_lags_3_days news_count div_total_vnd_lags_4_days div_total_vnd_lags_5_days div_total_vnd_lags_6_days div_total_vnd_lags_7_days div_total_bonus_ratio_ma_3_days div_total_bonus_ratio_ma_7_days div_total_bonus_ratio_lags_1_days div_total_bonus_ratio_lags_2_days div_total_bonus_ratio_lags_3_days div_total_bonus_ratio_lags_4_days div_total_bonus_ratio_lags_5_days div_total_bonus_ratio_lags_7_days div_total_vnd_lags_1_days meeting_event_count_lags_7_days meeting_event_count_lags_6_days it_event_count_lags_1_days it_event_count_lags_2_days it_event_count_lags_3_days it_event_count_lags_4_days meeting_event_count_lags_5_days it_event_count_lags_6_days it_event_count_lags_7_days meeting_event_count_lags_4_days meeting_event_count_lags_3_days meeting_event_count_lags_2_days meeting_event_count_lags_1_days meeting_event_count_ma_7_days div_total_vnd_lags_2_days div_event_count_lags_4_days div_total_vnd_ma_7_days div_total_vnd_ma_3_days news_total_pos_kw_lags_6_days news_total_pos_kw_lags_5_days news_total_pos_kw_lags_4_days news_total_pos_kw_lags_3_days news_total_pos_kw_lags_2_days news_total_pos_kw_lags_1_days news_total_pos_kw_ma_7_days news_total_pos_kw_ma_3_days news_count_lags_7_days news_count_lags_6_days news_count_lags_5_days news_count_lags_4_days news_count_lags_3_days news_count_lags_2_days news_count_lags_1_days news_count_ma_7_days news_count_ma_3_days news_total_neg_kw news_llm_sentiment div_total_vnd div_total_bonus_ratio it_event_count meeting_event_count news_total_pos_kw_lags_7_days news_total_neg_kw_ma_3_days news_total_neg_kw_ma_7_days news_llm_sentiment_lags_4_days div_event_count_lags_6_days div_event_count_lags_5_days div_event_count_lags_3_days div_event_count_lags_2_days div_event_count_lags_1_days div_event_count_ma_7_days div_event_count_ma_3_days news_llm_sentiment_lags_7_days news_llm_sentiment_lags_6_days news_llm_sentiment_lags_5_days news_llm_sentiment_lags_3_days news_total_neg_kw_lags_1_days news_total_pos_kw news_llm_sentiment_lags_1_days news_llm_sentiment_ma_7_days news_llm_sentiment_ma_3_days news_total_neg_kw_lags_7_days news_total_neg_kw_lags_6_days news_total_neg_kw_lags_5_days news_total_neg_kw_lags_4_days news_total_neg_kw_lags_3_days news_total_neg_kw_lags_2_days news_llm_sentiment_lags_2_days
Date
2023-03-23 31,687.28 0.01 28,788.67 0.00 -0.02 86,850.00 40,200.00 29,886.67 -0.03 11,630.00 0.00 46,207.14 34,040.00 35,860.00 28,540.00 0.35 27,972.00 25,780.00 31,664.80 -0.02 123,690.00 29,108.00 52,250.00 28,611.00 28,940.71 0.05 0.02 -0.01 29,179.00 32,059.77 31,907.78 0.00 31,664.80 32,063.51 29,073.00 29,321.00 -41,485.71 31,805.20 32,037.28 31,691.02 78,000.00 -26,200.00 -26,200.00 32,150.81 -26,200.00 -133,200.00 -26,200.00 -26,200.00 1.00 -26,200.00 3.00 1.00 1.00 -26,200.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-24 31,803.47 0.00 28,694.00 -0.00 0.01 123,690.00 25,780.00 38,103.33 0.05 52,250.00 -0.00 35,741.43 40,200.00 34,040.00 28,753.00 0.65 29,321.00 11,630.00 32,037.28 0.02 35,860.00 29,179.00 50,430.00 29,073.00 28,864.71 -0.01 -0.02 0.00 28,611.00 32,150.81 31,874.38 -0.02 31,687.28 31,664.80 28,540.00 29,108.00 -22,457.14 31,718.52 32,059.77 32,063.51 -133,200.00 -26,200.00 -17,466.67 31,691.02 0.00 -26,200.00 -26,200.00 -26,200.00 1.00 -26,200.00 3.00 1.00 1.00 -26,200.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-27 31,664.80 -0.00 28,753.33 0.00 0.00 35,860.00 11,630.00 55,986.67 -0.01 50,430.00 -0.00 39,944.29 25,780.00 40,200.00 28,789.00 0.13 29,108.00 52,250.00 32,059.77 -0.02 34,040.00 28,611.00 65,280.00 28,540.00 28,809.00 0.00 0.01 -0.02 29,073.00 31,691.02 31,817.96 0.02 31,803.47 31,687.28 28,753.00 29,179.00 -18,714.29 31,718.52 32,150.81 31,664.80 -26,200.00 -26,200.00 -8,733.33 32,063.51 0.00 -26,200.00 -26,200.00 -26,200.00 1.00 0.00 3.00 1.00 1.00 -26,200.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-28 31,664.80 -0.00 28,729.67 -0.00 -0.00 34,040.00 52,250.00 62,616.67 0.00 65,280.00 -0.00 45,387.14 11,630.00 25,780.00 28,718.00 0.14 29,179.00 50,430.00 32,150.81 0.01 40,200.00 29,073.00 72,140.00 28,753.00 28,738.00 -0.02 0.00 0.02 28,540.00 32,063.51 31,748.52 -0.02 31,664.80 31,803.47 28,789.00 28,611.00 -14,971.43 31,711.02 31,691.02 31,687.28 -26,200.00 -26,200.00 0.00 31,664.80 0.00 -26,200.00 0.00 -26,200.00 1.00 0.00 3.00 1.00 1.00 -26,200.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-29 31,664.80 -0.01 28,599.33 -0.00 -0.00 40,200.00 50,430.00 69,853.33 -0.02 72,140.00 -0.00 49,950.00 52,250.00 11,630.00 28,682.00 0.12 28,611.00 65,280.00 31,691.02 0.00 25,780.00 28,540.00 72,140.00 28,789.00 28,707.57 0.02 -0.00 -0.02 28,753.00 31,664.80 31,744.78 0.01 31,664.80 31,664.80 28,718.00 29,073.00 -11,228.57 31,664.80 32,063.51 31,803.47 -26,200.00 0.00 0.00 31,687.28 0.00 -26,200.00 0.00 -26,200.00 1.00 0.00 3.00 1.00 1.00 -26,200.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-30 31,664.80 -0.00 28,481.00 -0.00 -0.01 25,780.00 65,280.00 55,796.67 0.02 72,140.00 -0.00 49,568.57 50,430.00 52,250.00 28,398.00 0.12 29,073.00 72,140.00 32,063.51 -0.00 11,630.00 28,753.00 23,110.00 28,718.00 28,606.14 -0.02 -0.00 0.01 28,789.00 31,687.28 31,687.82 0.00 31,664.80 31,664.80 28,682.00 28,540.00 -7,485.71 31,664.80 31,664.80 31,664.80 -26,200.00 0.00 0.00 31,803.47 0.00 -26,200.00 0.00 -26,200.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-03-31 31,664.80 -0.00 28,362.67 -0.00 -0.00 11,630.00 72,140.00 51,876.67 -0.02 23,110.00 -0.00 56,532.86 65,280.00 50,430.00 28,363.00 0.16 28,540.00 72,140.00 31,664.80 -0.00 52,250.00 28,789.00 60,380.00 28,682.00 28,575.71 0.01 -0.01 0.00 28,718.00 31,803.47 31,687.82 -0.00 31,664.80 31,664.80 28,398.00 28,753.00 -3,742.86 31,664.80 31,687.28 31,664.80 -26,200.00 0.00 0.00 31,664.80 0.00 -26,200.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-03 32,254.47 0.02 28,504.67 0.01 -0.00 52,250.00 72,140.00 58,180.00 0.01 60,380.00 0.00 62,075.71 72,140.00 65,280.00 28,327.00 0.68 28,753.00 23,110.00 31,687.28 -0.01 50,430.00 28,718.00 91,050.00 28,398.00 28,585.86 0.00 -0.00 -0.00 28,682.00 31,664.80 31,768.85 -0.00 31,664.80 31,664.80 28,363.00 28,789.00 0.00 31,861.36 31,803.47 31,664.80 -26,200.00 0.00 0.00 31,664.80 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-04 32,254.47 -0.00 28,646.67 0.01 0.02 50,430.00 23,110.00 67,006.67 0.00 91,050.00 0.00 61,955.71 72,140.00 72,140.00 28,824.00 0.21 28,789.00 60,380.00 31,803.47 -0.00 65,280.00 28,682.00 49,590.00 28,363.00 28,585.86 -0.00 -0.00 -0.00 28,398.00 31,664.80 31,833.28 -0.01 32,254.47 31,664.80 28,327.00 28,718.00 0.00 32,057.91 31,664.80 31,664.80 0.00 0.00 0.00 31,664.80 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-05 32,664.96 0.03 29,120.00 0.02 -0.00 65,280.00 60,380.00 119,210.00 -0.00 49,590.00 0.01 83,628.57 23,110.00 72,140.00 28,789.00 0.76 28,718.00 91,050.00 31,664.80 -0.00 72,140.00 28,398.00 216,990.00 28,327.00 28,732.86 -0.00 0.02 -0.01 28,363.00 31,664.80 31,976.16 -0.00 32,254.47 32,254.47 28,824.00 28,682.00 0.00 32,391.30 31,664.80 31,664.80 0.00 0.00 0.00 31,664.80 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-06 32,500.31 -0.01 29,321.33 0.01 0.03 72,140.00 91,050.00 97,500.00 -0.00 216,990.00 0.00 77,025.71 60,380.00 23,110.00 29,747.00 0.20 28,682.00 49,590.00 31,664.80 0.02 72,140.00 28,363.00 25,920.00 28,824.00 28,839.43 -0.01 -0.00 -0.00 28,327.00 31,664.80 32,095.52 -0.00 32,664.96 32,254.47 28,789.00 28,398.00 0.00 32,473.25 31,664.80 32,254.47 0.00 0.00 0.00 31,664.80 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-07 32,674.22 0.00 29,569.67 0.01 -0.01 72,140.00 49,590.00 94,650.00 -0.01 25,920.00 0.01 72,582.86 91,050.00 60,380.00 29,428.00 0.72 28,398.00 216,990.00 31,664.80 -0.00 23,110.00 28,327.00 41,040.00 28,789.00 29,001.71 -0.00 0.03 -0.00 28,824.00 31,664.80 32,239.72 0.02 32,500.31 32,664.96 29,747.00 28,363.00 0.00 32,613.17 31,664.80 32,254.47 0.00 0.00 0.00 32,254.47 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-10 32,640.58 0.00 29,498.67 -0.00 0.00 23,110.00 216,990.00 32,546.67 -0.00 41,040.00 0.01 73,664.29 49,590.00 91,050.00 29,534.00 0.19 28,363.00 25,920.00 31,664.80 0.03 60,380.00 28,824.00 30,680.00 29,747.00 29,169.00 -0.00 -0.01 0.02 28,789.00 32,254.47 32,379.12 -0.00 32,674.22 32,500.31 29,428.00 28,327.00 0.00 32,605.04 31,664.80 32,664.96 0.00 0.00 0.00 32,254.47 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-11 32,674.22 0.00 29,569.67 0.00 0.00 60,380.00 25,920.00 28,110.00 -0.00 30,680.00 0.01 66,840.00 216,990.00 49,590.00 29,534.00 0.75 28,327.00 41,040.00 31,664.80 -0.01 91,050.00 28,789.00 12,610.00 29,428.00 29,356.71 0.02 0.00 -0.00 29,747.00 32,254.47 32,523.32 0.03 32,640.58 32,674.22 29,534.00 28,824.00 0.00 32,663.01 32,254.47 32,500.31 0.00 0.00 0.00 32,664.96 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-12 32,640.58 -0.01 29,546.00 -0.00 0.00 91,050.00 41,040.00 88,393.33 0.02 12,610.00 0.00 85,531.43 25,920.00 216,990.00 29,641.00 0.18 28,824.00 30,680.00 32,254.47 0.00 49,590.00 29,747.00 221,890.00 29,534.00 29,448.00 -0.00 0.00 0.03 29,428.00 32,664.96 32,578.48 -0.01 32,674.22 32,640.58 29,534.00 28,789.00 0.00 32,651.80 32,254.47 32,674.22 0.00 0.00 0.00 32,500.31 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-13 32,812.20 0.01 29,605.33 0.00 -0.01 49,590.00 30,680.00 91,426.67 -0.00 221,890.00 0.00 84,130.00 41,040.00 25,920.00 29,463.00 0.70 28,789.00 12,610.00 32,254.47 0.00 216,990.00 29,428.00 39,780.00 29,534.00 29,579.86 0.03 0.00 -0.01 29,534.00 32,500.31 32,658.15 0.00 32,640.58 32,674.22 29,641.00 29,747.00 0.00 32,709.00 32,664.96 32,640.58 0.00 0.00 0.00 32,674.22 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-14 32,812.20 0.00 29,629.00 0.00 0.01 216,990.00 12,610.00 92,920.00 0.03 39,780.00 -0.00 55,572.86 30,680.00 41,040.00 29,712.00 0.16 29,747.00 221,890.00 32,664.96 0.00 25,920.00 29,534.00 17,090.00 29,641.00 29,574.86 -0.01 -0.01 0.00 29,534.00 32,674.22 32,679.19 0.00 32,812.20 32,640.58 29,463.00 29,428.00 0.00 32,754.99 32,500.31 32,674.22 0.00 0.00 0.00 32,640.58 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-17 32,898.55 0.00 29,712.00 0.00 0.00 25,920.00 221,890.00 32,403.33 -0.01 17,090.00 0.00 57,632.86 12,610.00 30,680.00 29,712.00 0.16 29,428.00 39,780.00 32,500.31 -0.01 41,040.00 29,534.00 40,340.00 29,463.00 29,615.43 0.00 0.01 0.00 29,641.00 32,640.58 32,736.08 0.00 32,812.20 32,812.20 29,712.00 29,534.00 0.00 32,840.98 32,674.22 32,640.58 0.00 0.00 0.00 32,674.22 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-18 32,888.70 -0.00 29,700.00 -0.00 0.00 41,040.00 39,780.00 23,580.00 0.00 40,340.00 0.00 53,671.43 221,890.00 12,610.00 29,712.00 0.12 29,534.00 17,090.00 32,674.22 0.01 30,680.00 29,641.00 13,310.00 29,712.00 29,635.71 0.00 0.00 0.00 29,463.00 32,674.22 32,766.72 -0.01 32,898.55 32,812.20 29,712.00 29,534.00 0.00 32,866.48 32,640.58 32,812.20 0.00 0.00 0.00 32,640.58 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-19 32,802.35 0.00 29,688.00 -0.00 -0.00 30,680.00 17,090.00 39,503.33 0.00 13,310.00 0.00 58,554.29 39,780.00 221,890.00 29,676.00 0.14 29,534.00 40,340.00 32,640.58 0.00 12,610.00 29,463.00 64,860.00 29,712.00 29,656.00 0.00 0.00 -0.01 29,712.00 32,640.58 32,789.83 0.01 32,888.70 32,898.55 29,712.00 29,641.00 0.00 32,863.20 32,674.22 32,812.20 0.00 0.00 0.00 32,812.20 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-20 32,802.35 -0.00 29,640.67 -0.00 0.00 12,610.00 40,340.00 43,100.00 0.00 64,860.00 -0.00 64,057.14 17,090.00 39,780.00 29,676.00 0.15 29,641.00 13,310.00 32,674.22 0.00 221,890.00 29,712.00 51,130.00 29,712.00 29,645.86 -0.01 -0.00 0.01 29,712.00 32,812.20 32,808.13 0.00 32,802.35 32,888.70 29,676.00 29,463.00 0.00 32,831.14 32,640.58 32,898.55 0.00 0.00 0.00 32,812.20 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-21 32,802.35 0.00 29,605.33 -0.00 -0.00 221,890.00 13,310.00 45,620.00 -0.01 51,130.00 0.00 35,340.00 40,340.00 17,090.00 29,570.00 0.10 29,463.00 64,860.00 32,640.58 -0.00 39,780.00 29,712.00 20,870.00 29,676.00 29,661.14 0.01 0.00 0.00 29,712.00 32,812.20 32,831.24 0.00 32,802.35 32,802.35 29,676.00 29,712.00 0.00 32,802.35 32,812.20 32,888.70 0.00 0.00 0.00 32,898.55 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-24 32,640.58 -0.00 29,534.33 -0.00 0.00 39,780.00 64,860.00 33,293.33 0.01 20,870.00 -0.00 33,640.00 13,310.00 40,340.00 29,570.00 0.15 29,712.00 51,130.00 32,812.20 0.00 17,090.00 29,712.00 27,880.00 29,676.00 29,625.57 0.00 -0.00 0.00 29,676.00 32,898.55 32,806.73 -0.00 32,802.35 32,802.35 29,570.00 29,712.00 0.00 32,748.43 32,812.20 32,802.35 0.00 0.00 0.00 32,888.70 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-25 32,623.68 -0.00 29,451.33 -0.00 -0.00 17,090.00 51,130.00 38,290.00 0.00 27,880.00 -0.00 40,644.29 64,860.00 13,310.00 29,463.00 0.16 29,712.00 20,870.00 32,812.20 -0.00 40,340.00 29,676.00 66,120.00 29,570.00 29,569.71 0.00 0.00 -0.00 29,676.00 32,888.70 32,779.80 0.00 32,640.58 32,802.35 29,570.00 29,712.00 0.00 32,688.87 32,898.55 32,802.35 0.00 0.00 0.00 32,802.35 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-26 32,623.68 0.00 29,392.00 -0.00 -0.00 40,340.00 20,870.00 39,926.67 0.00 66,120.00 -0.00 38,564.29 51,130.00 64,860.00 29,321.00 0.59 29,712.00 27,880.00 32,898.55 0.00 13,310.00 29,676.00 25,780.00 29,570.00 29,524.00 -0.00 -0.00 0.00 29,570.00 32,802.35 32,740.53 -0.00 32,623.68 32,640.58 29,463.00 29,676.00 0.00 32,629.31 32,888.70 32,802.35 0.00 0.00 0.00 32,802.35 0.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-27 32,623.68 0.00 29,392.00 0.00 0.00 13,310.00 27,880.00 66,960.00 -0.00 25,780.00 -0.00 52,231.43 20,870.00 51,130.00 29,392.00 0.61 29,676.00 66,120.00 32,888.70 -0.00 64,860.00 29,570.00 108,980.00 29,463.00 29,493.57 0.00 -0.00 -0.00 29,570.00 32,802.35 32,702.67 0.00 32,623.68 32,623.68 29,321.00 29,676.00 -8,628.57 32,623.68 32,802.35 32,640.58 0.00 0.00 -20,133.33 32,802.35 -60,400.00 0.00 0.00 0.00 1.00 0.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-04-28 32,640.58 0.00 29,463.00 0.00 0.00 64,860.00 66,120.00 52,063.33 0.00 108,980.00 -0.00 46,027.14 27,880.00 20,870.00 29,463.00 0.62 29,676.00 25,780.00 32,802.35 -0.00 51,130.00 29,570.00 21,430.00 29,321.00 29,473.29 -0.00 0.00 0.00 29,463.00 32,802.35 32,679.56 -0.00 32,623.68 32,623.68 29,392.00 29,570.00 -17,257.14 32,629.31 32,802.35 32,623.68 0.00 0.00 -40,266.67 32,640.58 -60,400.00 0.00 0.00 0.00 1.00 -60,400.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-04 32,640.58 -0.00 29,498.67 0.00 0.00 51,130.00 25,780.00 48,373.33 -0.00 21,430.00 -0.00 40,824.29 66,120.00 27,880.00 29,534.00 0.12 29,570.00 108,980.00 32,802.35 0.00 20,870.00 29,463.00 14,710.00 29,392.00 29,463.14 0.00 0.00 -0.00 29,321.00 32,640.58 32,656.45 -0.00 32,640.58 32,623.68 29,463.00 29,570.00 -25,885.71 32,634.95 32,802.35 32,623.68 0.00 0.00 -60,400.00 32,623.68 -60,400.00 0.00 -60,400.00 0.00 1.00 -60,400.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-05 32,640.58 -0.00 29,498.67 0.00 -0.00 20,870.00 108,980.00 14,943.33 0.00 14,710.00 -0.00 39,084.29 25,780.00 66,120.00 29,499.00 0.10 29,570.00 21,430.00 32,802.35 0.00 27,880.00 29,321.00 8,690.00 29,463.00 29,447.86 -0.00 0.00 -0.00 29,392.00 32,623.68 32,633.34 0.00 32,640.58 32,640.58 29,534.00 29,463.00 -34,514.29 32,640.58 32,640.58 32,623.68 0.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 0.00 -60,400.00 0.00 1.00 -60,400.00 3.00 1.00 1.00 0.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-08 32,640.58 0.00 29,475.00 -0.00 -0.00 27,880.00 21,430.00 20,826.67 -0.00 8,690.00 0.00 40,684.29 108,980.00 25,780.00 29,463.00 0.11 29,463.00 14,710.00 32,640.58 0.00 66,120.00 29,392.00 39,080.00 29,534.00 29,447.86 -0.00 -0.00 0.00 29,463.00 32,623.68 32,633.34 0.00 32,640.58 32,640.58 29,499.00 29,321.00 -43,142.86 32,640.58 32,623.68 32,640.58 0.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 0.00 -60,400.00 0.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-09 32,623.68 -0.00 29,451.33 -0.00 0.00 66,120.00 14,710.00 28,296.67 -0.00 39,080.00 0.00 36,541.43 21,430.00 108,980.00 29,463.00 0.09 29,321.00 8,690.00 32,623.68 -0.00 25,780.00 29,463.00 37,120.00 29,499.00 29,463.14 0.00 -0.00 0.00 29,534.00 32,623.68 32,633.34 0.00 32,640.58 32,640.58 29,463.00 29,392.00 -51,771.43 32,634.95 32,623.68 32,640.58 0.00 -60,400.00 -60,400.00 32,640.58 -60,400.00 0.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-10 32,623.68 0.00 29,439.67 -0.00 -0.00 25,780.00 8,690.00 35,720.00 0.00 37,120.00 0.00 37,281.43 14,710.00 21,430.00 29,428.00 0.08 29,392.00 39,080.00 32,623.68 -0.00 108,980.00 29,534.00 30,960.00 29,463.00 29,468.29 0.00 0.00 0.00 29,499.00 32,640.58 32,633.34 -0.00 32,623.68 32,640.58 29,463.00 29,463.00 -60,400.00 32,629.31 32,623.68 32,640.58 0.00 -60,400.00 -60,400.00 32,640.58 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-11 32,623.68 0.00 29,428.00 -0.00 0.00 108,980.00 39,080.00 40,063.33 0.00 30,960.00 -0.00 29,157.14 8,690.00 14,710.00 29,428.00 0.10 29,463.00 37,120.00 32,623.68 0.00 21,430.00 29,499.00 52,110.00 29,463.00 29,463.29 0.00 -0.00 -0.00 29,463.00 32,640.58 32,633.34 -0.00 32,623.68 32,623.68 29,428.00 29,534.00 -60,400.00 32,623.68 32,640.58 32,640.58 -60,400.00 -60,400.00 -60,400.00 32,640.58 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-12 32,623.68 -0.00 29,416.00 -0.00 0.00 21,430.00 37,120.00 46,553.33 0.00 52,110.00 -0.00 34,180.00 39,080.00 8,690.00 29,428.00 0.10 29,534.00 30,960.00 32,640.58 -0.00 14,710.00 29,463.00 56,590.00 29,428.00 29,443.00 -0.00 0.00 -0.00 29,463.00 32,640.58 32,630.92 0.00 32,623.68 32,623.68 29,428.00 29,499.00 -60,400.00 32,623.68 32,640.58 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,640.58 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-15 32,623.68 0.00 29,404.00 -0.00 -0.00 14,710.00 30,960.00 44,966.67 -0.00 56,590.00 -0.00 35,821.43 37,120.00 39,080.00 29,392.00 0.08 29,499.00 52,110.00 32,640.58 0.00 8,690.00 29,463.00 26,200.00 29,428.00 29,427.71 -0.00 0.00 0.00 29,428.00 32,640.58 32,628.51 -0.00 32,623.68 32,623.68 29,428.00 29,463.00 -60,400.00 32,623.68 32,640.58 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-16 32,623.68 -0.00 29,356.67 -0.00 0.00 8,690.00 52,110.00 48,936.67 -0.00 26,200.00 -0.00 43,725.71 30,960.00 37,120.00 29,392.00 0.11 29,463.00 56,590.00 32,640.58 0.00 39,080.00 29,428.00 64,020.00 29,428.00 29,402.43 0.00 -0.00 -0.00 29,428.00 32,623.68 32,626.09 0.00 32,623.68 32,623.68 29,392.00 29,463.00 -60,400.00 32,623.68 32,640.58 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-17 32,484.72 -0.01 29,262.00 -0.00 -0.00 39,080.00 56,590.00 43,846.67 0.00 64,020.00 -0.00 44,045.71 52,110.00 30,960.00 29,286.00 0.11 29,463.00 26,200.00 32,640.58 -0.00 37,120.00 29,428.00 41,320.00 29,392.00 29,351.71 -0.00 0.00 0.00 29,428.00 32,623.68 32,603.83 0.00 32,623.68 32,623.68 29,392.00 29,428.00 -60,400.00 32,577.36 32,623.68 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-18 32,484.72 0.00 29,167.33 -0.00 -0.01 37,120.00 26,200.00 43,190.00 -0.00 41,320.00 -0.00 42,204.29 56,590.00 52,110.00 29,108.00 0.09 29,428.00 64,020.00 32,623.68 0.00 30,960.00 29,428.00 24,230.00 29,392.00 29,306.00 0.00 -0.00 0.00 29,392.00 32,623.68 32,583.98 -0.00 32,484.72 32,623.68 29,286.00 29,428.00 -60,400.00 32,531.04 32,623.68 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-19 32,484.72 -0.00 29,084.33 -0.00 0.00 30,960.00 64,020.00 41,930.00 0.00 24,230.00 -0.00 46,387.14 26,200.00 56,590.00 29,108.00 0.12 29,428.00 41,320.00 32,623.68 -0.00 52,110.00 29,392.00 60,240.00 29,286.00 29,250.14 0.00 -0.01 -0.00 29,392.00 32,623.68 32,564.13 0.00 32,484.72 32,484.72 29,108.00 29,428.00 -60,400.00 32,484.72 32,623.68 32,623.68 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-22 32,397.41 -0.00 29,037.00 -0.00 -0.00 52,110.00 41,320.00 38,103.33 0.00 60,240.00 -0.00 43,205.71 64,020.00 26,200.00 29,037.00 0.10 29,428.00 24,230.00 32,623.68 -0.01 56,590.00 29,392.00 29,840.00 29,108.00 29,184.14 -0.00 0.00 0.00 29,286.00 32,623.68 32,531.80 -0.00 32,484.72 32,484.72 29,108.00 29,392.00 -60,400.00 32,455.62 32,623.68 32,484.72 -60,400.00 -60,400.00 -60,400.00 32,623.68 -60,400.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-23 32,374.79 -0.01 28,918.67 -0.00 -0.00 56,590.00 24,230.00 43,146.67 -0.00 29,840.00 -0.00 40,744.29 41,320.00 64,020.00 28,966.00 0.10 29,392.00 60,240.00 32,623.68 0.00 26,200.00 29,286.00 39,360.00 29,108.00 29,092.86 0.00 -0.00 -0.00 29,108.00 32,623.68 32,496.25 -0.01 32,397.41 32,484.72 29,037.00 29,392.00 -80,342.86 32,418.97 32,623.68 32,484.72 -60,400.00 -60,400.00 -106,933.33 32,484.72 -200,000.00 -60,400.00 -60,400.00 -60,400.00 1.00 -60,400.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-24 32,393.68 0.01 28,883.33 -0.00 -0.01 26,200.00 60,240.00 105,856.67 0.00 39,360.00 -0.00 72,482.86 24,230.00 41,320.00 28,753.00 0.62 29,392.00 29,840.00 32,623.68 -0.00 64,020.00 29,108.00 248,370.00 29,037.00 29,027.00 -0.00 -0.00 -0.01 29,108.00 32,484.72 32,463.39 0.00 32,374.79 32,397.41 28,966.00 29,286.00 -100,285.71 32,388.63 32,623.68 32,484.72 -60,400.00 -60,400.00 -153,466.67 32,484.72 -200,000.00 -60,400.00 -60,400.00 -60,400.00 1.00 -200,000.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-25 32,393.68 -0.00 28,859.67 -0.00 0.01 64,020.00 29,840.00 104,080.00 -0.00 248,370.00 -0.00 66,838.57 60,240.00 24,230.00 28,931.00 0.10 29,286.00 39,360.00 32,623.68 -0.00 41,320.00 29,108.00 24,510.00 28,966.00 28,971.14 -0.01 -0.01 0.00 29,037.00 32,484.72 32,430.53 -0.00 32,393.68 32,374.79 28,753.00 29,108.00 -120,228.57 32,387.38 32,484.72 32,397.41 -60,400.00 -60,400.00 -200,000.00 32,484.72 -200,000.00 -60,400.00 -200,000.00 -60,400.00 1.00 -200,000.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-26 32,374.79 -0.00 28,859.67 0.00 -0.00 41,320.00 39,360.00 122,103.33 -0.01 24,510.00 -0.00 74,282.86 29,840.00 60,240.00 28,895.00 0.17 29,108.00 248,370.00 32,484.72 -0.01 24,230.00 29,037.00 93,430.00 28,753.00 28,920.43 0.00 0.01 -0.00 28,966.00 32,484.72 32,414.83 -0.00 32,393.68 32,393.68 28,931.00 29,108.00 -140,171.43 32,387.38 32,484.72 32,374.79 -60,400.00 -200,000.00 -200,000.00 32,397.41 -200,000.00 -60,400.00 -200,000.00 -60,400.00 1.00 -200,000.00 3.00 1.00 1.00 -60,400.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-29 32,413.01 0.02 28,954.33 0.00 -0.00 24,230.00 248,370.00 87,830.00 0.00 93,430.00 0.00 91,614.29 39,360.00 29,840.00 28,753.00 0.69 29,108.00 24,510.00 32,484.72 0.01 60,240.00 28,966.00 145,550.00 28,931.00 28,935.71 -0.00 -0.00 -0.00 28,753.00 32,397.41 32,404.58 -0.01 32,374.79 32,393.68 28,895.00 29,037.00 -160,114.29 32,393.82 32,484.72 32,393.68 -60,400.00 -200,000.00 -200,000.00 32,374.79 -200,000.00 -60,400.00 -200,000.00 -60,400.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-30 32,397.41 -0.00 29,025.33 0.00 0.02 60,240.00 24,510.00 111,226.67 -0.00 145,550.00 0.00 96,537.14 248,370.00 39,360.00 29,215.00 0.18 29,037.00 93,430.00 32,484.72 -0.00 29,840.00 28,753.00 94,700.00 28,895.00 28,945.86 -0.00 -0.00 -0.01 28,931.00 32,374.79 32,392.11 0.01 32,413.01 32,374.79 28,753.00 28,966.00 -180,057.14 32,395.07 32,397.41 32,393.68 -60,400.00 -200,000.00 -200,000.00 32,393.68 -200,000.00 -60,400.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-05-31 32,484.72 -0.00 29,108.33 0.00 -0.00 29,840.00 93,430.00 92,130.00 -0.00 94,700.00 0.00 97,437.14 24,510.00 248,370.00 29,108.00 0.17 28,966.00 145,550.00 32,397.41 -0.00 39,360.00 28,931.00 36,140.00 28,753.00 28,951.00 -0.01 0.02 0.01 28,895.00 32,393.68 32,404.58 -0.00 32,397.41 32,413.01 29,215.00 28,753.00 -200,000.00 32,431.71 32,374.79 32,374.79 -60,400.00 -200,000.00 -200,000.00 32,393.68 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-01 32,407.62 0.00 29,072.67 -0.00 -0.00 39,360.00 145,550.00 63,926.67 -0.01 36,140.00 0.00 100,520.00 93,430.00 24,510.00 29,002.00 0.71 28,753.00 94,700.00 32,374.79 0.02 248,370.00 28,895.00 60,940.00 29,215.00 29,001.71 0.01 -0.00 -0.00 28,753.00 32,393.68 32,409.27 -0.00 32,484.72 32,397.41 29,108.00 28,931.00 -200,000.00 32,429.92 32,393.68 32,413.01 -200,000.00 -200,000.00 -200,000.00 32,374.79 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-02 32,500.31 0.00 29,120.00 0.00 0.00 248,370.00 94,700.00 60,843.33 0.01 60,940.00 0.00 77,245.71 145,550.00 93,430.00 29,108.00 0.68 28,931.00 36,140.00 32,393.68 -0.00 24,510.00 28,753.00 85,450.00 29,108.00 29,047.29 -0.00 -0.00 -0.00 29,215.00 32,374.79 32,424.50 0.02 32,407.62 32,484.72 29,002.00 28,895.00 -200,000.00 32,464.22 32,393.68 32,397.41 -200,000.00 -200,000.00 -200,000.00 32,413.01 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-05 33,609.28 0.07 29,877.33 0.03 0.00 24,510.00 36,140.00 145,500.00 -0.00 85,450.00 0.01 115,188.57 94,700.00 145,550.00 29,250.00 0.82 28,895.00 60,940.00 32,393.68 -0.00 93,430.00 29,215.00 290,110.00 29,002.00 29,387.14 -0.00 0.00 0.02 29,108.00 32,413.01 32,598.16 -0.00 32,500.31 32,407.62 29,108.00 28,753.00 -200,000.00 32,839.07 32,374.79 32,484.72 -200,000.00 -200,000.00 -200,000.00 32,397.41 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-06 34,972.52 0.04 30,989.67 0.04 0.07 93,430.00 60,940.00 148,626.67 -0.00 290,110.00 0.02 111,887.14 36,140.00 94,700.00 31,274.00 0.81 28,753.00 85,450.00 32,374.79 0.00 145,550.00 29,108.00 70,320.00 29,108.00 29,914.57 0.02 0.00 -0.00 29,002.00 32,397.41 32,969.27 -0.00 33,609.28 32,500.31 29,250.00 29,215.00 -200,000.00 33,694.04 32,413.01 32,407.62 -200,000.00 -200,000.00 -200,000.00 32,484.72 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-07 35,346.74 -0.00 32,007.33 0.03 0.04 145,550.00 85,450.00 131,536.67 0.02 70,320.00 0.01 95,977.14 60,940.00 36,140.00 32,445.00 0.22 29,215.00 290,110.00 32,413.01 0.00 94,700.00 29,002.00 34,180.00 29,250.00 30,355.71 -0.00 0.07 -0.00 29,108.00 32,484.72 33,388.37 0.00 34,972.52 33,609.28 31,274.00 29,108.00 -200,000.00 34,642.85 32,397.41 32,500.31 -200,000.00 -200,000.00 -200,000.00 32,407.62 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-08 35,304.12 -0.02 32,113.67 0.00 -0.00 94,700.00 290,110.00 46,506.67 -0.00 34,180.00 0.01 87,451.43 85,450.00 60,940.00 32,303.00 0.17 29,108.00 70,320.00 32,397.41 0.07 36,140.00 29,108.00 35,020.00 31,274.00 30,710.71 -0.00 0.04 0.00 29,250.00 32,407.62 33,803.62 0.00 35,346.74 34,972.52 32,445.00 29,002.00 -200,000.00 35,207.79 32,484.72 33,609.28 -200,000.00 -200,000.00 -200,000.00 32,500.31 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-09 35,346.74 0.02 32,066.33 -0.00 -0.02 36,140.00 70,320.00 64,716.67 -0.00 35,020.00 0.02 100,138.57 290,110.00 85,450.00 31,593.00 0.72 29,002.00 34,180.00 32,484.72 0.04 60,940.00 29,250.00 124,950.00 32,445.00 31,182.29 0.00 -0.00 0.00 31,274.00 32,500.31 34,212.48 0.07 35,304.12 35,346.74 32,303.00 29,108.00 -200,000.00 35,332.53 32,407.62 34,972.52 -200,000.00 -200,000.00 -200,000.00 33,609.28 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-12 35,346.74 0.00 32,066.33 0.00 0.02 60,940.00 34,180.00 65,556.67 0.00 124,950.00 0.02 96,675.71 70,320.00 290,110.00 32,303.00 0.21 29,108.00 35,020.00 32,407.62 -0.00 85,450.00 31,274.00 36,700.00 32,303.00 31,638.71 0.00 -0.02 0.07 32,445.00 33,609.28 34,632.35 0.04 35,346.74 35,304.12 31,593.00 29,250.00 -200,000.00 35,332.53 32,500.31 35,346.74 -200,000.00 -200,000.00 -200,000.00 34,972.52 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-13 35,346.74 -0.01 32,161.00 0.00 0.00 85,450.00 35,020.00 71,253.33 0.00 36,700.00 0.01 91,912.86 34,180.00 70,320.00 32,303.00 0.22 29,250.00 124,950.00 32,500.31 -0.02 290,110.00 32,445.00 52,110.00 31,593.00 32,014.00 0.07 0.02 0.04 32,303.00 34,972.52 35,038.98 -0.00 35,346.74 35,346.74 32,303.00 31,274.00 -200,000.00 35,346.74 33,609.28 35,304.12 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-14 35,175.69 -0.00 31,995.33 -0.01 -0.01 290,110.00 124,950.00 37,913.33 0.07 52,110.00 0.00 54,030.00 35,020.00 34,180.00 31,877.00 0.19 31,274.00 36,700.00 33,609.28 0.02 70,320.00 32,303.00 24,930.00 32,303.00 32,090.00 0.04 0.00 -0.00 31,593.00 35,346.74 35,262.76 -0.02 35,346.74 35,346.74 32,303.00 32,445.00 -200,000.00 35,289.72 34,972.52 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,304.12 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-15 35,175.69 0.00 31,877.00 -0.00 -0.00 70,320.00 36,700.00 48,000.00 0.04 24,930.00 -0.00 53,550.00 124,950.00 35,020.00 31,806.00 0.64 32,445.00 52,110.00 34,972.52 0.00 34,180.00 31,593.00 66,960.00 32,303.00 32,019.00 -0.00 -0.01 -0.02 32,303.00 35,304.12 35,291.78 0.02 35,175.69 35,346.74 31,877.00 32,303.00 -200,000.00 35,232.71 35,346.74 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-16 35,346.74 0.01 32,019.00 0.00 0.00 34,180.00 52,110.00 54,816.67 -0.00 66,960.00 0.00 59,032.86 36,700.00 124,950.00 31,948.00 0.71 32,303.00 24,930.00 35,346.74 -0.01 35,020.00 32,303.00 72,560.00 31,877.00 32,019.00 -0.02 -0.00 0.02 32,303.00 35,346.74 35,291.78 0.00 35,175.69 35,175.69 31,806.00 31,593.00 -200,000.00 35,232.71 35,304.12 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-19 35,346.74 -0.00 32,149.33 0.00 0.01 35,020.00 24,930.00 57,900.00 -0.02 72,560.00 0.00 58,912.86 52,110.00 36,700.00 32,303.00 0.20 31,593.00 66,960.00 35,304.12 -0.00 124,950.00 32,303.00 34,180.00 31,806.00 32,105.29 0.02 0.00 0.00 31,877.00 35,346.74 35,297.87 -0.01 35,346.74 35,175.69 31,948.00 32,303.00 -200,000.00 35,289.72 35,346.74 35,175.69 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-20 35,481.69 0.01 32,386.00 0.01 -0.00 124,950.00 66,960.00 51,130.00 0.02 34,180.00 0.00 47,727.14 24,930.00 52,110.00 32,197.00 0.70 32,303.00 72,560.00 35,346.74 0.00 36,700.00 31,877.00 46,650.00 31,948.00 32,156.00 0.00 0.01 -0.01 31,806.00 35,346.74 35,317.15 -0.00 35,346.74 35,346.74 32,303.00 32,303.00 -200,000.00 35,391.72 35,346.74 35,175.69 -200,000.00 -200,000.00 -200,000.00 35,175.69 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-21 35,481.69 -0.00 32,457.00 0.00 0.01 36,700.00 72,560.00 80,733.33 0.00 46,650.00 0.00 65,537.14 66,960.00 24,930.00 32,658.00 0.22 32,303.00 34,180.00 35,346.74 0.01 52,110.00 31,806.00 161,370.00 32,303.00 32,186.43 -0.01 -0.00 -0.00 31,948.00 35,175.69 35,336.43 0.00 35,481.69 35,346.74 32,197.00 31,877.00 -200,000.00 35,436.71 35,346.74 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,175.69 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-22 35,922.60 -0.01 32,492.33 0.00 -0.00 52,110.00 34,180.00 80,686.67 -0.01 161,370.00 0.00 62,955.71 72,560.00 66,960.00 32,516.00 0.17 31,877.00 46,650.00 35,346.74 -0.00 24,930.00 31,948.00 34,040.00 32,197.00 32,247.29 -0.00 0.01 0.00 32,303.00 35,175.69 35,418.69 0.01 35,481.69 35,481.69 32,658.00 31,806.00 -200,000.00 35,628.66 35,175.69 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-23 35,346.74 -0.00 32,326.67 -0.01 -0.01 24,930.00 46,650.00 68,126.67 -0.00 34,040.00 0.00 60,675.71 34,180.00 72,560.00 32,303.00 0.16 31,806.00 161,370.00 35,175.69 0.01 66,960.00 32,303.00 8,970.00 32,658.00 32,298.00 0.00 -0.00 0.01 32,197.00 35,346.74 35,443.13 -0.00 35,922.60 35,481.69 32,516.00 31,948.00 -200,000.00 35,583.68 35,175.69 35,481.69 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-26 36,593.30 0.07 32,930.00 0.02 -0.00 66,960.00 161,370.00 36,190.00 0.00 8,970.00 0.01 60,475.71 46,650.00 34,180.00 32,161.00 0.73 31,948.00 34,040.00 35,175.69 -0.00 72,560.00 32,197.00 65,560.00 32,516.00 32,637.71 0.01 -0.01 -0.00 32,658.00 35,346.74 35,645.64 0.01 35,346.74 35,922.60 32,303.00 32,303.00 -200,000.00 35,954.21 35,346.74 35,481.69 -200,000.00 -200,000.00 -200,000.00 35,481.69 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-27 37,070.99 -0.02 33,415.00 0.02 0.07 72,560.00 34,040.00 38,290.00 0.01 65,560.00 0.01 55,872.86 161,370.00 46,650.00 34,326.00 0.24 32,303.00 8,970.00 35,346.74 -0.01 34,180.00 32,658.00 40,340.00 32,303.00 32,845.57 -0.00 -0.00 0.01 32,516.00 35,481.69 35,891.96 -0.00 36,593.30 35,346.74 32,161.00 32,197.00 -200,000.00 36,337.01 35,346.74 35,922.60 -200,000.00 -200,000.00 -200,000.00 35,481.69 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-28 37,070.99 -0.01 33,817.33 0.01 -0.02 34,180.00 8,970.00 55,846.67 -0.00 40,340.00 0.01 59,795.71 34,040.00 161,370.00 33,758.00 0.26 32,197.00 65,560.00 35,346.74 -0.00 46,650.00 32,516.00 61,640.00 32,161.00 33,012.86 0.01 0.07 -0.00 32,303.00 35,481.69 36,138.29 -0.01 37,070.99 36,593.30 34,326.00 32,658.00 -200,000.00 36,911.76 35,481.69 35,346.74 -200,000.00 -200,000.00 -200,000.00 35,922.60 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-29 36,784.19 -0.01 33,367.67 -0.01 -0.01 46,650.00 65,560.00 42,396.67 0.01 61,640.00 0.00 56,732.86 8,970.00 34,040.00 33,368.00 0.15 32,658.00 40,340.00 35,481.69 0.07 161,370.00 32,303.00 25,210.00 34,326.00 33,058.43 -0.00 -0.02 -0.01 32,161.00 35,922.60 36,324.36 -0.00 37,070.99 37,070.99 33,758.00 32,516.00 -200,000.00 36,975.39 35,481.69 36,593.30 -200,000.00 -200,000.00 -200,000.00 35,346.74 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-06-30 36,593.30 -0.01 33,048.33 -0.01 -0.01 161,370.00 40,340.00 42,676.67 -0.00 25,210.00 0.00 39,562.86 65,560.00 8,970.00 32,977.00 0.17 32,516.00 61,640.00 35,481.69 -0.02 34,040.00 32,161.00 41,180.00 33,758.00 33,099.00 -0.01 -0.01 -0.00 34,326.00 35,346.74 36,483.16 0.07 36,784.19 37,070.99 33,368.00 32,303.00 -200,000.00 36,816.16 35,922.60 37,070.99 -200,000.00 -200,000.00 -200,000.00 36,593.30 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-03 35,580.40 0.00 32,906.33 -0.00 -0.01 34,040.00 61,640.00 37,540.00 -0.01 41,180.00 0.00 41,304.29 40,340.00 65,560.00 32,800.00 0.67 32,303.00 25,210.00 35,922.60 -0.01 8,970.00 34,326.00 46,230.00 33,368.00 33,190.29 -0.00 -0.01 0.07 33,758.00 36,593.30 36,434.27 -0.02 36,593.30 36,784.19 32,977.00 32,161.00 -200,000.00 36,319.30 35,346.74 37,070.99 -200,000.00 -200,000.00 -200,000.00 37,070.99 -200,000.00 -200,000.00 -200,000.00 -200,000.00 1.00 -200,000.00 3.00 1.00 1.00 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-04 36,105.67 0.01 32,965.67 0.00 0.00 8,970.00 25,210.00 44,826.67 -0.00 46,230.00 0.00 46,747.14 61,640.00 40,340.00 32,942.00 0.75 32,161.00 41,180.00 35,346.74 -0.01 65,560.00 33,758.00 47,070.00 32,977.00 33,332.29 0.07 -0.01 -0.02 33,368.00 37,070.99 36,542.69 -0.01 35,580.40 36,593.30 32,800.00 34,326.00 92,857.14 36,093.12 36,593.30 36,784.19 -200,000.00 -200,000.00 483,333.33 37,070.99 1,850,000.00 -200,000.00 -200,000.00 -200,000.00 1.33 -200,000.00 3.00 1.00 1.14 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-05 36,181.37 0.01 33,143.00 0.01 0.01 65,560.00 41,180.00 82,510.00 0.07 47,070.00 -0.00 59,414.29 25,210.00 61,640.00 33,155.00 0.75 34,326.00 46,230.00 36,593.30 -0.01 40,340.00 33,368.00 154,230.00 32,800.00 33,190.29 -0.02 0.00 -0.01 32,977.00 37,070.99 36,483.84 -0.01 36,105.67 35,580.40 32,942.00 33,758.00 385,714.29 35,955.81 37,070.99 36,593.30 -200,000.00 -200,000.00 1,166,666.67 36,784.19 1,850,000.00 -200,000.00 -200,000.00 -200,000.00 1.67 1,850,000.00 3.00 1.00 1.29 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-06 36,181.37 -0.00 33,237.67 0.00 0.01 40,340.00 46,230.00 88,393.33 -0.02 154,230.00 -0.00 62,777.14 41,180.00 25,210.00 33,332.00 0.24 33,758.00 47,070.00 37,070.99 0.00 61,640.00 32,977.00 63,880.00 32,942.00 33,114.29 -0.01 0.01 -0.01 32,800.00 36,784.19 36,356.75 -0.01 36,181.37 36,105.67 33,155.00 33,368.00 678,571.43 36,156.13 37,070.99 35,580.40 -200,000.00 -200,000.00 1,850,000.00 36,593.30 1,850,000.00 -200,000.00 1,850,000.00 -200,000.00 2.00 1,850,000.00 3.00 1.00 1.43 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-07 36,181.37 0.00 33,285.00 0.00 -0.00 61,640.00 47,070.00 85,496.67 -0.01 63,880.00 -0.00 59,454.29 46,230.00 41,180.00 33,226.00 0.66 33,368.00 154,230.00 37,070.99 0.01 25,210.00 32,800.00 38,380.00 33,155.00 33,104.14 -0.01 0.01 -0.01 32,942.00 36,593.30 36,229.67 0.00 36,181.37 36,181.37 33,332.00 32,977.00 971,428.57 36,181.37 36,784.19 36,105.67 -200,000.00 1,850,000.00 1,850,000.00 35,580.40 1,850,000.00 -200,000.00 1,850,000.00 -200,000.00 2.00 1,850,000.00 3.00 1.00 1.57 -200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-10 36,181.37 -0.00 33,249.67 -0.00 0.00 25,210.00 154,230.00 90,120.00 -0.01 38,380.00 0.00 79,867.14 47,070.00 46,230.00 33,297.00 0.26 32,977.00 63,880.00 36,784.19 0.01 41,180.00 32,942.00 168,100.00 33,332.00 33,139.71 -0.01 -0.00 0.00 33,155.00 35,580.40 36,143.55 0.01 36,181.37 36,181.37 33,226.00 32,800.00 1,264,285.71 36,181.37 36,593.30 36,181.37 -200,000.00 1,850,000.00 1,850,000.00 36,105.67 1,850,000.00 -200,000.00 1,850,000.00 -200,000.00 2.00 1,850,000.00 3.00 1.00 1.71 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-11 36,296.56 0.01 33,356.00 0.00 -0.00 41,180.00 63,880.00 117,856.67 -0.01 168,100.00 0.00 94,997.14 154,230.00 47,070.00 33,226.00 0.78 32,800.00 38,380.00 36,593.30 -0.00 46,230.00 33,155.00 147,090.00 33,226.00 33,246.14 0.00 0.00 0.01 33,332.00 36,105.67 36,101.16 0.01 36,181.37 36,181.37 33,297.00 32,942.00 1,557,142.86 36,219.76 35,580.40 36,181.37 -200,000.00 1,850,000.00 1,850,000.00 36,181.37 1,850,000.00 -200,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 1.86 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-12 36,700.77 0.01 33,545.33 0.01 0.01 46,230.00 38,380.00 161,750.00 0.00 147,090.00 0.00 112,687.14 63,880.00 154,230.00 33,545.00 0.76 32,942.00 168,100.00 35,580.40 0.00 47,070.00 33,332.00 170,060.00 33,297.00 33,378.00 0.01 -0.00 0.01 33,226.00 36,181.37 36,261.21 -0.00 36,296.56 36,181.37 33,226.00 33,155.00 1,850,000.00 36,392.90 36,105.67 36,181.37 -200,000.00 1,850,000.00 1,850,000.00 36,181.37 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-13 37,200.91 0.01 33,864.67 0.01 0.01 47,070.00 168,100.00 140,363.33 0.01 170,060.00 0.00 120,811.43 38,380.00 63,880.00 33,865.00 0.80 33,155.00 147,090.00 36,105.67 -0.00 154,230.00 33,226.00 103,940.00 33,226.00 33,525.00 0.01 0.01 -0.00 33,297.00 36,181.37 36,417.67 0.00 36,700.77 36,296.56 33,545.00 33,332.00 1,850,000.00 36,732.75 36,181.37 36,181.37 1,850,000.00 1,850,000.00 1,850,000.00 36,181.37 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-14 37,289.40 -0.00 34,042.33 0.01 0.01 154,230.00 147,090.00 101,560.00 0.01 103,940.00 0.00 103,161.43 168,100.00 38,380.00 34,184.00 0.25 33,332.00 170,060.00 36,181.37 0.01 63,880.00 33,297.00 30,680.00 33,545.00 33,631.57 -0.00 0.01 0.00 33,226.00 36,181.37 36,575.96 -0.00 37,200.91 36,700.77 33,865.00 33,226.00 1,850,000.00 37,063.69 36,181.37 36,296.56 1,850,000.00 1,850,000.00 1,850,000.00 36,181.37 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-17 37,397.13 0.00 34,160.67 0.00 -0.00 63,880.00 170,060.00 63,176.67 -0.00 30,680.00 0.00 101,880.00 147,090.00 168,100.00 34,078.00 0.76 33,226.00 103,940.00 36,181.37 0.01 38,380.00 33,226.00 54,910.00 33,865.00 33,773.57 0.00 0.01 -0.00 33,545.00 36,181.37 36,749.64 0.01 37,289.40 37,200.91 34,184.00 33,297.00 1,850,000.00 37,295.81 36,181.37 36,700.77 1,850,000.00 1,850,000.00 1,850,000.00 36,296.56 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-18 37,417.32 0.01 34,243.67 0.00 0.00 38,380.00 103,940.00 67,846.67 0.00 54,910.00 0.00 113,247.14 170,060.00 147,090.00 34,220.00 0.76 33,297.00 30,680.00 36,181.37 0.01 168,100.00 33,545.00 117,950.00 34,184.00 33,935.86 -0.00 -0.00 0.01 33,865.00 36,296.56 36,926.21 0.01 37,397.13 37,289.40 34,078.00 33,226.00 1,850,000.00 37,367.95 36,181.37 37,200.91 1,850,000.00 1,850,000.00 1,850,000.00 36,700.77 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-19 37,457.75 -0.00 34,350.00 0.00 0.01 168,100.00 30,680.00 76,063.33 -0.00 117,950.00 0.00 97,137.14 103,940.00 170,060.00 34,433.00 0.27 33,226.00 54,910.00 36,181.37 -0.00 147,090.00 33,865.00 55,330.00 34,078.00 34,103.14 0.01 0.00 0.01 34,184.00 36,700.77 37,108.55 0.01 37,417.32 37,397.13 34,220.00 33,545.00 1,850,000.00 37,424.07 36,296.56 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 37,200.91 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-20 37,344.77 -0.01 34,326.33 -0.00 -0.00 147,090.00 54,910.00 68,826.67 0.01 55,330.00 0.00 80,867.14 30,680.00 103,940.00 34,397.00 0.16 33,545.00 117,950.00 36,296.56 0.00 170,060.00 34,184.00 33,200.00 34,220.00 34,189.43 0.01 0.01 0.01 34,078.00 37,200.91 37,258.29 -0.00 37,457.75 37,417.32 34,433.00 33,865.00 1,850,000.00 37,406.61 36,700.77 37,397.13 1,850,000.00 1,850,000.00 1,850,000.00 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-21 37,289.40 -0.00 34,184.33 -0.00 -0.01 170,060.00 117,950.00 64,763.33 0.01 33,200.00 0.00 71,681.43 54,910.00 30,680.00 34,149.00 0.18 33,865.00 55,330.00 36,700.77 0.01 103,940.00 34,078.00 105,760.00 34,433.00 34,209.71 0.01 -0.00 -0.00 34,220.00 37,289.40 37,342.38 0.00 37,344.77 37,457.75 34,397.00 34,184.00 1,850,000.00 37,363.97 37,200.91 37,417.32 1,850,000.00 1,850,000.00 1,850,000.00 37,397.13 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-24 37,289.40 -0.00 34,042.33 -0.00 -0.00 103,940.00 55,330.00 94,086.67 0.01 105,760.00 -0.00 77,304.29 117,950.00 54,910.00 34,007.00 0.20 34,184.00 33,200.00 37,200.91 -0.00 30,680.00 34,220.00 143,300.00 34,397.00 34,179.29 -0.00 -0.01 0.00 34,433.00 37,397.13 37,355.02 0.01 37,289.40 37,344.77 34,149.00 34,078.00 1,850,000.00 37,307.85 37,289.40 37,457.75 1,850,000.00 1,850,000.00 1,850,000.00 37,417.32 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-25 36,975.77 -0.01 33,876.67 -0.00 -0.00 30,680.00 33,200.00 126,726.67 -0.00 143,300.00 -0.00 91,652.86 55,330.00 117,950.00 33,971.00 0.18 34,078.00 105,760.00 37,289.40 -0.01 54,910.00 34,433.00 131,120.00 34,149.00 34,118.43 0.00 -0.00 0.01 34,397.00 37,417.32 37,310.22 -0.00 37,289.40 37,289.40 34,007.00 34,220.00 1,850,000.00 37,184.85 37,397.13 37,344.77 1,850,000.00 1,850,000.00 1,850,000.00 37,457.75 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-26 36,583.36 -0.00 33,711.00 -0.00 -0.01 54,910.00 105,760.00 125,513.33 0.00 131,120.00 -0.00 98,397.14 33,200.00 55,330.00 33,652.00 0.18 34,220.00 143,300.00 37,397.13 -0.00 117,950.00 34,397.00 102,120.00 34,007.00 34,017.00 0.01 -0.00 -0.00 34,149.00 37,457.75 37,193.97 -0.01 36,975.77 37,289.40 33,971.00 34,433.00 1,850,000.00 36,949.51 37,417.32 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 37,344.77 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-27 36,700.77 0.01 33,699.33 -0.00 -0.00 117,950.00 143,300.00 215,633.33 0.01 102,120.00 -0.00 140,641.43 105,760.00 33,200.00 33,510.00 0.72 34,433.00 131,120.00 37,417.32 -0.00 55,330.00 34,149.00 413,660.00 33,971.00 33,946.00 -0.00 -0.01 -0.01 34,007.00 37,344.77 37,091.60 -0.00 36,583.36 36,975.77 33,652.00 34,397.00 1,850,000.00 36,753.30 37,457.75 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-28 37,170.13 0.01 33,912.33 0.01 0.01 55,330.00 131,120.00 251,820.00 -0.00 413,660.00 -0.00 166,977.14 143,300.00 105,760.00 33,936.00 0.77 34,397.00 102,120.00 37,457.75 -0.01 33,200.00 34,007.00 239,680.00 33,652.00 33,930.86 -0.01 -0.00 -0.00 33,971.00 37,289.40 37,050.51 -0.00 36,700.77 36,583.36 33,510.00 34,149.00 1,850,000.00 36,818.09 37,344.77 36,975.77 1,850,000.00 1,850,000.00 1,850,000.00 37,289.40 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-07-31 37,417.88 0.02 34,350.00 0.01 0.01 33,200.00 102,120.00 293,003.33 -0.01 239,680.00 0.00 194,472.86 131,120.00 143,300.00 34,291.00 0.79 34,149.00 413,660.00 37,344.77 -0.00 105,760.00 33,971.00 225,670.00 33,510.00 34,027.14 -0.00 0.01 -0.00 33,652.00 37,289.40 37,060.96 -0.01 37,170.13 36,700.77 33,936.00 34,007.00 1,850,000.00 37,096.26 37,289.40 36,583.36 1,850,000.00 1,850,000.00 1,850,000.00 36,975.77 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-01 37,673.87 0.00 34,645.67 0.01 0.02 105,760.00 413,660.00 240,333.33 -0.00 225,670.00 0.00 215,885.71 102,120.00 131,120.00 34,823.00 0.33 34,007.00 239,680.00 37,289.40 0.01 143,300.00 33,652.00 255,650.00 33,936.00 34,143.71 -0.00 0.01 -0.01 33,510.00 36,975.77 37,115.88 -0.00 37,417.88 37,170.13 34,291.00 33,971.00 1,850,000.00 37,420.63 37,289.40 36,700.77 1,850,000.00 1,850,000.00 1,850,000.00 36,583.36 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-02 37,930.98 0.01 34,929.67 0.01 0.00 143,300.00 239,680.00 250,793.33 -0.00 255,650.00 0.00 234,137.14 413,660.00 102,120.00 34,823.00 0.77 33,971.00 225,670.00 37,289.40 0.01 131,120.00 33,510.00 271,060.00 34,291.00 34,311.14 -0.01 0.02 -0.00 33,936.00 36,583.36 37,207.54 0.01 37,673.87 37,417.88 34,823.00 33,652.00 1,850,000.00 37,674.24 36,975.77 37,170.13 1,850,000.00 1,850,000.00 1,850,000.00 36,700.77 1,850,000.00 1,850,000.00 1,850,000.00 1,850,000.00 2.00 1,850,000.00 3.00 2.00 2.00 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-03 37,877.53 -0.01 34,918.00 -0.00 0.01 131,120.00 225,670.00 242,576.67 -0.01 271,060.00 0.00 244,122.86 239,680.00 413,660.00 35,143.00 0.28 33,652.00 255,650.00 36,975.77 0.02 102,120.00 33,936.00 201,020.00 34,823.00 34,473.43 -0.00 0.00 0.01 34,291.00 36,700.77 37,336.36 0.01 37,930.98 37,673.87 34,823.00 33,510.00 2,081,552.86 37,827.46 36,583.36 37,417.88 1,850,000.00 1,850,000.00 2,390,290.00 37,170.13 3,470,870.00 1,850,000.00 1,850,000.00 1,850,000.00 1.67 1,850,000.00 3.00 2.00 1.86 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-04 38,004.65 0.00 34,953.67 0.00 -0.01 102,120.00 255,650.00 205,500.00 -0.00 201,020.00 0.01 250,165.71 225,670.00 239,680.00 34,788.00 0.76 33,510.00 271,060.00 36,583.36 0.00 413,660.00 34,291.00 144,420.00 34,823.00 34,676.29 0.01 0.01 0.01 34,823.00 37,170.13 37,539.40 0.02 37,877.53 37,930.98 35,143.00 33,936.00 2,313,105.71 37,937.72 36,700.77 37,673.87 1,850,000.00 1,850,000.00 2,930,580.00 37,417.88 3,470,870.00 1,850,000.00 1,850,000.00 1,850,000.00 1.33 3,470,870.00 3.00 2.00 1.71 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-07 37,930.98 0.00 34,930.00 -0.00 0.00 413,660.00 271,060.00 213,250.00 0.01 144,420.00 0.00 233,115.71 255,650.00 225,670.00 34,930.00 0.75 33,936.00 201,020.00 36,700.77 0.01 239,680.00 34,823.00 294,310.00 35,143.00 34,838.57 0.01 -0.01 0.02 34,823.00 37,417.88 37,715.15 0.00 38,004.65 37,877.53 34,788.00 34,291.00 2,030,705.71 37,937.72 37,170.13 37,930.98 1,850,000.00 1,850,000.00 2,271,646.67 37,673.87 -126,800.00 1,850,000.00 3,470,870.00 1,850,000.00 1.00 3,470,870.00 3.00 2.00 1.57 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-08 38,004.65 -0.00 34,977.33 0.00 0.00 239,680.00 201,020.00 167,070.00 0.01 294,310.00 0.00 207,801.43 271,060.00 255,650.00 35,072.00 0.23 34,291.00 144,420.00 37,170.13 -0.01 225,670.00 34,823.00 62,480.00 34,788.00 34,929.86 0.02 0.00 0.00 35,143.00 37,673.87 37,834.36 0.01 37,930.98 38,004.65 34,930.00 34,823.00 1,748,305.71 37,980.09 37,417.88 37,877.53 1,850,000.00 3,470,870.00 1,072,423.33 37,930.98 -126,800.00 1,850,000.00 3,470,870.00 1,850,000.00 1.00 -126,800.00 3.00 2.00 1.43 1,850,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-09 37,877.53 -0.00 34,930.00 -0.00 -0.00 225,670.00 144,420.00 148,860.00 0.02 62,480.00 -0.00 188,390.00 201,020.00 271,060.00 34,930.00 0.21 34,823.00 294,310.00 37,417.88 0.00 255,650.00 35,143.00 89,790.00 34,930.00 34,924.86 0.00 0.00 0.01 34,788.00 37,930.98 37,900.03 -0.01 38,004.65 37,930.98 35,072.00 34,823.00 1,465,905.71 37,937.72 37,673.87 38,004.65 1,850,000.00 3,470,870.00 -126,800.00 37,877.53 -126,800.00 1,850,000.00 -126,800.00 1,850,000.00 1.00 -126,800.00 3.00 2.00 1.29 3,470,870.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-10 37,691.61 -0.00 34,811.67 -0.00 -0.00 255,650.00 294,310.00 76,250.00 0.00 89,790.00 -0.00 162,794.29 144,420.00 201,020.00 34,788.00 0.20 34,823.00 62,480.00 37,673.87 0.00 271,060.00 34,788.00 76,480.00 35,072.00 34,909.71 0.01 -0.00 -0.01 34,930.00 37,877.53 37,902.56 0.00 37,877.53 38,004.65 34,930.00 35,143.00 987,034.29 37,857.93 37,930.98 37,930.98 1,850,000.00 -126,800.00 -585,233.33 38,004.65 -1,502,100.00 1,850,000.00 -126,800.00 3,470,870.00 1.00 -126,800.00 3.00 1.00 1.14 3,470,870.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-11 37,691.61 0.00 34,764.33 -0.00 -0.00 271,060.00 62,480.00 71,533.33 0.01 76,480.00 -0.00 130,975.71 294,310.00 144,420.00 34,717.00 0.62 35,143.00 89,790.00 37,930.98 -0.00 201,020.00 34,930.00 48,330.00 34,930.00 34,859.00 -0.01 -0.00 0.00 35,072.00 38,004.65 37,868.37 0.00 37,691.61 37,877.53 34,788.00 34,788.00 508,162.86 37,753.58 37,877.53 38,004.65 1,850,000.00 -126,800.00 -1,043,666.67 37,930.98 -1,502,100.00 3,470,870.00 -126,800.00 3,470,870.00 1.00 -1,502,100.00 3.00 1.00 1.00 -126,800.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-14 37,673.87 -0.00 34,717.00 -0.00 0.00 201,020.00 89,790.00 67,473.33 -0.01 48,330.00 -0.00 113,345.71 62,480.00 294,310.00 34,788.00 0.20 34,788.00 76,480.00 37,877.53 -0.00 144,420.00 35,072.00 77,610.00 34,788.00 34,838.71 0.00 -0.00 0.00 34,930.00 37,930.98 37,839.27 -0.00 37,691.61 37,691.61 34,717.00 34,930.00 -202,261.43 37,685.69 38,004.65 37,877.53 3,470,870.00 -126,800.00 -1,502,100.00 38,004.65 -1,502,100.00 3,470,870.00 -1,502,100.00 -126,800.00 1.00 -1,502,100.00 3.00 1.00 1.00 -126,800.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-15 37,673.87 0.00 34,728.67 0.00 -0.00 144,420.00 76,480.00 77,653.33 0.00 77,610.00 -0.00 108,002.86 89,790.00 62,480.00 34,646.00 0.72 34,930.00 48,330.00 38,004.65 -0.00 294,310.00 34,930.00 107,020.00 34,717.00 34,813.29 0.00 0.00 -0.00 34,788.00 38,004.65 37,792.02 -0.00 37,673.87 37,691.61 34,788.00 35,072.00 -912,685.71 37,679.78 37,930.98 37,691.61 3,470,870.00 -1,502,100.00 -1,502,100.00 37,877.53 -1,502,100.00 -126,800.00 -1,502,100.00 -126,800.00 1.00 -1,502,100.00 3.00 1.00 1.00 -126,800.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-16 37,673.87 0.00 34,740.33 0.00 0.00 294,310.00 48,330.00 96,936.67 0.00 107,020.00 -0.00 81,127.14 76,480.00 89,790.00 34,752.00 0.72 35,072.00 77,610.00 37,930.98 0.00 62,480.00 34,788.00 106,180.00 34,788.00 34,777.71 -0.00 -0.00 -0.00 34,717.00 37,877.53 37,755.29 -0.00 37,673.87 37,673.87 34,646.00 34,930.00 -1,109,157.14 37,673.87 38,004.65 37,691.61 -126,800.00 -1,502,100.00 -1,502,100.00 37,691.61 -1,502,100.00 -126,800.00 -1,502,100.00 -126,800.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-17 37,662.76 -0.01 34,669.33 -0.00 0.00 62,480.00 77,610.00 133,823.33 -0.00 106,180.00 -0.00 99,097.14 48,330.00 76,480.00 34,823.00 0.22 34,930.00 107,020.00 38,004.65 -0.00 89,790.00 34,717.00 188,270.00 34,646.00 34,706.71 -0.00 0.00 -0.00 34,788.00 37,691.61 37,706.44 0.00 37,673.87 37,673.87 34,752.00 34,788.00 -1,305,628.57 37,670.16 37,877.53 37,673.87 -126,800.00 -1,502,100.00 -1,502,100.00 37,691.61 -1,502,100.00 -126,800.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-18 37,330.08 -0.01 34,444.67 -0.01 -0.01 89,790.00 107,020.00 161,513.33 -0.00 188,270.00 -0.00 113,425.71 77,610.00 48,330.00 34,433.00 0.25 34,788.00 106,180.00 37,877.53 0.00 76,480.00 34,788.00 190,090.00 34,752.00 34,605.29 -0.00 0.00 0.00 34,646.00 37,691.61 37,628.24 -0.00 37,662.76 37,673.87 34,823.00 34,717.00 -1,502,100.00 37,555.57 37,691.61 37,673.87 -126,800.00 -1,502,100.00 -1,502,100.00 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-21 37,366.35 0.01 34,314.67 -0.00 -0.01 76,480.00 106,180.00 152,036.67 -0.00 190,090.00 -0.00 113,607.14 107,020.00 77,610.00 34,078.00 0.74 34,717.00 188,270.00 37,691.61 0.00 48,330.00 34,646.00 77,750.00 34,823.00 34,564.71 0.00 -0.01 -0.00 34,752.00 37,673.87 37,581.77 0.00 37,330.08 37,662.76 34,433.00 34,788.00 -1,502,100.00 37,453.06 37,691.61 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-22 37,631.66 0.02 34,504.00 0.01 0.01 48,330.00 188,270.00 108,236.67 0.00 77,750.00 0.00 114,827.14 106,180.00 107,020.00 34,433.00 0.81 34,788.00 190,090.00 37,691.61 -0.01 77,610.00 34,752.00 56,870.00 34,433.00 34,595.14 -0.00 -0.01 0.00 34,823.00 37,673.87 37,573.21 0.00 37,366.35 37,330.08 34,078.00 34,646.00 -1,502,100.00 37,442.70 37,673.87 37,662.76 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-23 37,673.87 -0.01 34,728.67 0.01 0.02 77,610.00 190,090.00 79,800.00 -0.00 56,870.00 0.00 118,708.57 188,270.00 106,180.00 35,001.00 0.28 34,646.00 77,750.00 37,673.87 -0.01 107,020.00 34,823.00 104,780.00 34,078.00 34,610.29 0.00 0.01 0.00 34,433.00 37,673.87 37,573.21 -0.01 37,631.66 37,366.35 34,433.00 34,752.00 -1,502,100.00 37,557.29 37,673.87 37,330.08 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,662.76 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-24 38,058.10 0.01 34,965.33 0.01 -0.01 107,020.00 77,750.00 172,346.67 0.00 104,780.00 0.00 154,190.00 190,090.00 188,270.00 34,752.00 0.80 34,752.00 56,870.00 37,673.87 0.01 106,180.00 34,433.00 355,390.00 34,433.00 34,666.14 0.00 0.02 -0.01 34,078.00 37,662.76 37,628.10 -0.01 37,673.87 37,631.66 35,001.00 34,823.00 -1,502,100.00 37,787.88 37,673.87 37,366.35 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,330.08 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-25 38,347.45 0.01 35,107.33 0.00 0.01 106,180.00 56,870.00 205,453.33 0.00 355,390.00 0.00 161,334.29 77,750.00 190,090.00 35,143.00 0.83 34,823.00 104,780.00 37,673.87 0.02 188,270.00 34,078.00 156,190.00 35,001.00 34,752.43 -0.01 -0.01 -0.01 34,433.00 37,330.08 37,724.32 0.01 38,058.10 37,673.87 34,752.00 34,433.00 -1,502,100.00 38,026.47 37,662.76 37,631.66 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,366.35 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-28 38,564.66 0.01 35,403.33 0.01 0.01 188,270.00 104,780.00 303,043.33 -0.01 156,190.00 0.00 191,231.43 56,870.00 77,750.00 35,427.00 0.88 34,433.00 355,390.00 37,662.76 -0.01 190,090.00 34,433.00 397,550.00 34,752.00 34,924.86 -0.01 0.01 0.01 35,001.00 37,366.35 37,853.17 0.02 38,347.45 38,058.10 35,143.00 34,078.00 -1,502,100.00 38,323.40 37,330.08 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,631.66 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-29 38,612.38 0.00 35,616.33 0.01 0.01 190,090.00 355,390.00 288,613.33 -0.01 397,550.00 0.01 208,661.43 104,780.00 56,870.00 35,640.00 0.87 34,078.00 156,190.00 37,330.08 0.01 77,750.00 35,001.00 312,100.00 35,143.00 35,168.29 0.01 0.01 0.02 34,752.00 37,631.66 38,036.35 -0.01 38,564.66 38,347.45 35,427.00 34,433.00 -1,502,100.00 38,508.16 37,366.35 38,058.10 -1,502,100.00 -1,502,100.00 -1,502,100.00 37,673.87 -1,502,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-30 38,950.78 0.00 35,758.33 0.00 0.00 77,750.00 156,190.00 358,046.67 0.01 312,100.00 0.01 249,624.29 355,390.00 104,780.00 35,782.00 0.87 34,433.00 397,550.00 37,366.35 0.01 56,870.00 34,752.00 364,490.00 35,427.00 35,371.14 0.02 0.01 -0.01 35,143.00 37,673.87 38,262.70 0.01 38,612.38 38,564.66 35,640.00 35,001.00 -1,284,928.57 38,709.27 37,631.66 38,347.45 -1,502,100.00 -1,502,100.00 -995,366.67 38,058.10 18,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 -1,502,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-08-31 39,108.44 0.00 35,853.00 0.00 0.00 56,870.00 397,550.00 305,283.33 0.02 364,490.00 0.00 275,680.00 156,190.00 355,390.00 35,853.00 0.79 35,001.00 312,100.00 37,631.66 0.01 104,780.00 35,143.00 239,260.00 35,640.00 35,503.00 -0.01 0.00 0.01 35,427.00 38,058.10 38,473.67 0.01 38,950.78 38,612.38 35,782.00 34,752.00 -1,067,757.14 38,890.53 37,673.87 38,564.66 -1,502,100.00 -1,502,100.00 -488,633.33 38,347.45 18,100.00 -1,502,100.00 -1,502,100.00 -1,502,100.00 1.00 18,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-05 39,441.70 0.00 35,947.67 0.00 0.00 104,780.00 312,100.00 261,206.67 -0.01 239,260.00 0.01 286,407.14 397,550.00 156,190.00 35,924.00 0.83 34,752.00 364,490.00 37,673.87 0.00 355,390.00 35,427.00 179,870.00 35,782.00 35,690.71 0.01 0.00 0.01 35,640.00 38,347.45 38,726.22 0.01 39,108.44 38,950.78 35,853.00 35,143.00 -850,585.71 39,166.97 38,058.10 38,612.38 -1,502,100.00 -1,502,100.00 18,100.00 38,564.66 18,100.00 -1,502,100.00 18,100.00 -1,502,100.00 1.00 18,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-06 39,401.21 -0.00 35,995.00 0.00 0.00 355,390.00 364,490.00 213,953.33 0.01 179,870.00 0.00 267,455.71 312,100.00 397,550.00 36,066.00 0.27 35,143.00 239,260.00 38,058.10 0.00 156,190.00 35,640.00 222,730.00 35,853.00 35,812.43 0.01 0.00 0.01 35,782.00 38,564.66 38,918.09 0.00 39,441.70 39,108.44 35,924.00 35,427.00 -633,414.29 39,317.12 38,347.45 38,950.78 -1,502,100.00 18,100.00 18,100.00 38,612.38 18,100.00 -1,502,100.00 18,100.00 -1,502,100.00 1.00 18,100.00 3.00 1.00 1.00 -1,502,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-07 39,108.71 -0.01 35,876.67 -0.00 -0.00 156,190.00 239,260.00 170,946.67 0.01 222,730.00 0.00 260,891.43 364,490.00 312,100.00 35,995.00 0.21 35,427.00 179,870.00 38,347.45 0.00 397,550.00 35,782.00 110,240.00 35,924.00 35,832.71 0.01 0.00 0.00 35,853.00 38,612.38 39,026.84 0.00 39,401.21 39,441.70 36,066.00 35,640.00 -416,242.86 39,317.21 38,564.66 39,108.44 -1,502,100.00 18,100.00 18,100.00 38,950.78 18,100.00 -1,502,100.00 18,100.00 -1,502,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-08 38,986.69 0.01 35,805.67 -0.00 -0.01 397,550.00 179,870.00 204,283.33 0.01 110,240.00 0.00 244,081.43 239,260.00 364,490.00 35,569.00 0.66 35,640.00 222,730.00 38,564.66 0.00 312,100.00 35,853.00 279,880.00 36,066.00 35,863.14 0.00 -0.00 0.00 35,924.00 38,950.78 39,087.13 0.00 39,108.71 39,401.21 35,995.00 35,782.00 -199,071.43 39,165.54 38,612.38 39,441.70 -1,502,100.00 18,100.00 18,100.00 39,108.44 18,100.00 -1,502,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-11 38,600.16 -0.01 35,663.67 -0.00 0.01 312,100.00 222,730.00 154,366.67 0.00 279,880.00 -0.00 209,921.43 179,870.00 239,260.00 35,853.00 0.19 35,782.00 110,240.00 38,612.38 -0.00 364,490.00 35,924.00 72,980.00 35,995.00 35,832.71 0.00 -0.01 0.00 36,066.00 39,108.44 39,085.38 0.00 38,986.69 39,108.71 35,569.00 35,853.00 18,100.00 38,898.52 38,950.78 39,401.21 -1,502,100.00 18,100.00 18,100.00 39,441.70 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-12 39,108.94 0.01 35,782.00 0.00 -0.01 364,490.00 110,240.00 340,023.33 0.00 72,980.00 0.00 253,167.14 222,730.00 179,870.00 35,569.00 0.74 35,853.00 279,880.00 38,950.78 -0.01 239,260.00 36,066.00 667,210.00 35,569.00 35,842.86 0.00 0.01 0.00 35,995.00 39,441.70 39,107.98 -0.00 38,600.16 38,986.69 35,853.00 35,924.00 18,100.00 38,898.60 39,108.44 39,108.71 18,100.00 18,100.00 18,100.00 39,401.21 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-13 38,600.16 -0.02 35,616.33 -0.00 0.01 239,260.00 279,880.00 271,803.33 0.00 667,210.00 -0.00 229,732.86 110,240.00 222,730.00 35,924.00 0.17 35,924.00 72,980.00 39,108.44 0.01 179,870.00 35,995.00 75,220.00 35,853.00 35,761.71 0.00 -0.01 -0.00 35,569.00 39,401.21 39,035.37 -0.01 39,108.94 38,600.16 35,569.00 36,066.00 18,100.00 38,769.75 39,441.70 38,986.69 18,100.00 18,100.00 18,100.00 39,108.71 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-14 38,552.45 -0.01 35,474.33 -0.00 -0.02 179,870.00 72,980.00 482,253.33 0.00 75,220.00 -0.00 304,655.71 279,880.00 110,240.00 35,356.00 0.22 36,066.00 667,210.00 39,441.70 -0.01 222,730.00 35,569.00 704,330.00 35,569.00 35,629.86 -0.00 0.01 -0.01 35,853.00 39,108.71 38,908.33 0.01 38,600.16 39,108.94 35,924.00 35,995.00 18,100.00 38,753.85 39,401.21 38,600.16 18,100.00 18,100.00 18,100.00 38,986.69 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-15 38,347.94 0.01 35,285.00 -0.01 -0.01 222,730.00 667,210.00 276,706.67 -0.00 704,330.00 -0.00 280,061.43 72,980.00 279,880.00 35,143.00 0.60 35,995.00 75,220.00 39,401.21 0.01 110,240.00 35,853.00 50,570.00 35,924.00 35,538.57 -0.01 -0.02 0.01 35,569.00 38,986.69 38,757.86 -0.01 38,552.45 38,600.16 35,356.00 35,569.00 18,100.00 38,500.18 39,108.71 39,108.94 18,100.00 18,100.00 18,100.00 38,600.16 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-18 38,005.15 -0.02 35,048.33 -0.01 0.01 110,240.00 75,220.00 258,216.67 -0.01 50,570.00 -0.00 267,134.29 667,210.00 72,980.00 35,356.00 0.17 35,569.00 704,330.00 39,108.71 -0.02 279,880.00 35,569.00 19,750.00 35,356.00 35,406.71 0.01 -0.01 -0.01 35,924.00 38,600.16 38,600.21 0.01 38,347.94 38,552.45 35,143.00 35,853.00 18,100.00 38,301.84 38,986.69 38,600.16 18,100.00 18,100.00 18,100.00 39,108.94 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-19 38,058.59 0.01 35,036.33 -0.00 -0.02 279,880.00 704,330.00 66,633.33 0.01 19,750.00 -0.00 245,662.86 75,220.00 667,210.00 34,646.00 0.66 35,853.00 50,570.00 38,986.69 -0.01 72,980.00 35,924.00 129,580.00 35,143.00 35,300.14 -0.01 0.01 0.01 35,356.00 39,108.94 38,467.63 -0.02 38,005.15 38,347.94 35,356.00 35,569.00 18,100.00 38,137.23 38,600.16 38,552.45 18,100.00 18,100.00 18,100.00 38,600.16 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-20 37,692.10 -0.01 34,823.33 -0.01 0.01 72,980.00 50,570.00 78,213.33 -0.01 129,580.00 -0.00 247,424.29 704,330.00 75,220.00 35,107.00 0.19 35,569.00 19,750.00 38,600.16 0.01 667,210.00 35,356.00 85,310.00 35,356.00 35,178.43 0.01 -0.02 -0.02 35,143.00 38,600.16 38,337.90 -0.01 38,058.59 38,005.15 34,646.00 35,924.00 18,100.00 37,918.61 39,108.94 38,347.94 18,100.00 18,100.00 18,100.00 38,552.45 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-21 37,692.10 -0.00 34,823.33 0.00 -0.01 667,210.00 19,750.00 93,576.67 0.01 85,310.00 -0.01 161,514.29 50,570.00 704,330.00 34,717.00 0.19 35,924.00 129,580.00 39,108.94 -0.02 75,220.00 35,143.00 65,840.00 34,646.00 34,995.86 -0.02 0.01 -0.01 35,356.00 38,552.45 38,135.50 0.01 37,692.10 38,058.59 35,107.00 35,356.00 18,100.00 37,814.26 38,600.16 38,005.15 18,100.00 18,100.00 18,100.00 38,347.94 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-22 37,674.36 0.00 34,717.00 -0.00 -0.00 75,220.00 129,580.00 151,663.33 -0.02 65,840.00 -0.00 194,174.29 19,750.00 50,570.00 34,646.00 0.65 35,356.00 85,310.00 38,600.16 0.01 704,330.00 35,356.00 303,840.00 35,107.00 34,914.71 -0.01 -0.01 0.01 34,646.00 38,347.94 38,003.24 -0.02 37,692.10 37,692.10 34,717.00 35,143.00 18,100.00 37,686.19 38,552.45 38,058.59 18,100.00 18,100.00 18,100.00 38,005.15 18,100.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-25 37,663.25 -0.01 34,646.00 -0.00 0.00 704,330.00 85,310.00 152,830.00 -0.01 303,840.00 -0.00 106,242.86 129,580.00 19,750.00 34,788.00 0.18 35,143.00 65,840.00 38,552.45 -0.01 50,570.00 34,646.00 88,810.00 34,717.00 34,823.43 0.01 -0.00 -0.02 35,107.00 38,005.15 37,876.21 0.01 37,674.36 37,692.10 34,646.00 35,356.00 -7,528.57 37,676.57 38,347.94 37,692.10 18,100.00 18,100.00 -41,700.00 38,058.59 -161,300.00 18,100.00 18,100.00 18,100.00 1.00 18,100.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-26 37,454.62 -0.01 34,480.33 -0.00 -0.01 50,570.00 65,840.00 141,016.67 0.01 88,810.00 -0.00 103,361.43 85,310.00 129,580.00 34,504.00 0.16 35,356.00 303,840.00 38,347.94 -0.00 19,750.00 35,107.00 30,400.00 34,646.00 34,651.00 -0.02 0.00 0.01 34,717.00 38,058.59 37,748.60 -0.01 37,663.25 37,674.36 34,788.00 34,646.00 -33,157.14 37,597.41 38,005.15 37,692.10 18,100.00 18,100.00 -101,500.00 37,692.10 -161,300.00 18,100.00 18,100.00 18,100.00 1.00 -161,300.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-27 37,469.61 0.01 34,433.00 -0.00 -0.01 19,750.00 303,840.00 53,416.67 -0.02 30,400.00 0.00 106,402.86 65,840.00 85,310.00 34,149.00 0.64 34,646.00 88,810.00 38,005.15 0.00 129,580.00 34,717.00 41,040.00 34,788.00 34,651.00 0.01 -0.01 -0.01 34,646.00 37,692.10 37,672.09 -0.00 37,454.62 37,663.25 34,504.00 35,107.00 -58,785.71 37,529.16 38,058.59 37,674.36 18,100.00 18,100.00 -161,300.00 37,692.10 -161,300.00 18,100.00 -161,300.00 18,100.00 1.00 -161,300.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-28 37,238.92 -0.02 34,291.00 -0.00 0.01 129,580.00 88,810.00 67,333.33 0.01 41,040.00 -0.00 106,542.86 303,840.00 65,840.00 34,646.00 0.18 35,107.00 30,400.00 38,058.59 -0.01 85,310.00 34,646.00 130,560.00 34,504.00 34,504.00 -0.01 -0.01 -0.00 34,788.00 37,692.10 37,554.99 0.00 37,469.61 37,454.62 34,149.00 34,717.00 -84,414.29 37,387.72 37,692.10 37,663.25 18,100.00 -161,300.00 -161,300.00 37,674.36 -161,300.00 18,100.00 -161,300.00 18,100.00 1.00 -161,300.00 3.00 1.00 1.00 18,100.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-09-29 37,238.92 -0.00 34,220.00 -0.00 -0.02 85,310.00 30,400.00 73,870.00 -0.01 130,560.00 -0.00 101,500.00 88,810.00 303,840.00 34,078.00 0.17 34,717.00 41,040.00 37,692.10 -0.01 65,840.00 34,788.00 50,010.00 34,149.00 34,392.43 -0.00 0.01 0.00 34,504.00 37,674.36 37,490.25 -0.01 37,238.92 37,469.61 34,646.00 34,646.00 -110,042.86 37,315.81 37,692.10 37,454.62 18,100.00 -161,300.00 -161,300.00 37,663.25 -161,300.00 18,100.00 -161,300.00 18,100.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-02 36,687.38 0.00 33,983.33 -0.01 -0.00 65,840.00 41,040.00 91,380.00 -0.00 50,010.00 -0.00 105,461.43 30,400.00 88,810.00 33,936.00 0.16 34,646.00 130,560.00 37,692.10 0.01 303,840.00 34,504.00 93,570.00 34,646.00 34,291.00 0.00 -0.02 -0.01 34,149.00 37,663.25 37,346.72 -0.01 37,238.92 37,238.92 34,078.00 34,788.00 -135,671.43 37,055.07 37,674.36 37,469.61 18,100.00 -161,300.00 -161,300.00 37,454.62 -161,300.00 18,100.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-03 36,294.97 -0.01 33,770.33 -0.01 0.00 303,840.00 130,560.00 91,566.67 0.00 93,570.00 -0.01 80,787.14 41,040.00 30,400.00 33,936.00 0.15 34,788.00 50,010.00 37,674.36 -0.02 88,810.00 34,149.00 131,120.00 34,078.00 34,098.29 -0.01 -0.00 -0.01 34,646.00 37,454.62 37,149.67 0.01 36,687.38 37,238.92 33,936.00 34,504.00 -161,300.00 36,740.42 37,663.25 37,238.92 18,100.00 -161,300.00 -161,300.00 37,469.61 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-04 36,294.97 0.01 33,699.33 -0.00 -0.01 88,810.00 50,010.00 198,170.00 -0.01 131,120.00 -0.00 120,931.43 130,560.00 41,040.00 33,439.00 0.71 34,504.00 93,570.00 37,663.25 -0.00 30,400.00 34,646.00 369,820.00 33,936.00 33,986.71 -0.01 0.00 0.01 34,078.00 37,469.61 36,954.20 -0.02 36,294.97 36,687.38 33,936.00 34,149.00 -161,300.00 36,425.77 37,454.62 37,238.92 -161,300.00 -161,300.00 -161,300.00 37,238.92 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-05 36,294.97 -0.01 33,557.33 -0.00 0.01 30,400.00 93,570.00 175,243.33 -0.01 369,820.00 -0.00 120,130.00 50,010.00 130,560.00 33,723.00 0.19 34,149.00 131,120.00 37,454.62 0.00 41,040.00 34,078.00 24,790.00 33,936.00 33,895.43 0.01 -0.01 -0.02 33,936.00 37,238.92 36,788.53 -0.00 36,294.97 36,294.97 33,439.00 34,646.00 -161,300.00 36,294.97 37,469.61 36,687.38 -161,300.00 -161,300.00 -161,300.00 37,238.92 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-06 36,294.97 0.01 33,652.00 0.00 -0.01 41,040.00 131,120.00 144,703.33 0.01 24,790.00 -0.00 119,910.00 93,570.00 50,010.00 33,510.00 0.72 34,646.00 369,820.00 37,469.61 -0.01 130,560.00 33,936.00 39,500.00 33,439.00 33,763.57 -0.02 0.01 -0.00 33,936.00 37,238.92 36,620.73 0.00 36,294.97 36,294.97 33,723.00 34,078.00 -161,300.00 36,294.97 37,238.92 36,294.97 -161,300.00 -161,300.00 -161,300.00 36,687.38 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-09 36,687.38 0.01 33,817.67 0.00 0.01 130,560.00 369,820.00 52,060.00 -0.02 39,500.00 0.00 114,385.71 131,120.00 93,570.00 33,723.00 0.74 34,078.00 24,790.00 37,238.92 0.01 50,010.00 33,936.00 91,890.00 33,723.00 33,783.86 -0.00 -0.01 0.00 33,439.00 36,687.38 36,541.94 -0.01 36,294.97 36,294.97 33,510.00 33,936.00 -161,300.00 36,425.77 37,238.92 36,294.97 -161,300.00 -161,300.00 -161,300.00 36,294.97 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-10 37,029.55 0.01 34,208.00 0.01 0.01 50,010.00 24,790.00 101,790.00 -0.00 91,890.00 0.00 132,095.71 369,820.00 131,120.00 34,220.00 0.77 33,936.00 39,500.00 37,238.92 -0.01 93,570.00 33,439.00 173,980.00 33,510.00 33,890.29 0.00 0.01 -0.01 33,723.00 36,294.97 36,512.03 0.01 36,687.38 36,294.97 33,723.00 33,936.00 -161,300.00 36,670.63 36,687.38 36,294.97 -161,300.00 -161,300.00 -161,300.00 36,294.97 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-11 37,325.96 0.00 34,563.00 0.01 0.01 93,570.00 39,500.00 110,056.67 0.00 173,980.00 0.00 127,914.29 24,790.00 369,820.00 34,681.00 0.74 33,936.00 91,890.00 36,687.38 0.01 131,120.00 33,723.00 64,300.00 33,723.00 34,012.00 -0.01 0.01 0.01 33,510.00 36,294.97 36,603.25 -0.01 37,029.55 36,687.38 34,220.00 33,439.00 -161,300.00 37,014.29 36,294.97 36,294.97 -161,300.00 -161,300.00 -161,300.00 36,294.97 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-12 37,807.50 0.03 35,083.67 0.02 0.00 131,120.00 91,890.00 149,933.33 -0.01 64,300.00 0.01 139,400.00 39,500.00 24,790.00 34,788.00 0.80 33,439.00 173,980.00 36,294.97 0.01 369,820.00 33,510.00 211,520.00 34,220.00 34,346.71 0.01 0.01 -0.01 33,723.00 36,294.97 36,819.33 0.01 37,325.96 37,029.55 34,681.00 33,723.00 -161,300.00 37,387.67 36,294.97 36,687.38 -161,300.00 -161,300.00 -161,300.00 36,294.97 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-13 37,924.52 -0.01 35,344.00 0.01 0.03 369,820.00 173,980.00 114,073.33 0.01 211,520.00 0.01 96,054.29 91,890.00 39,500.00 35,782.00 0.23 33,723.00 64,300.00 36,294.97 0.01 24,790.00 33,723.00 66,400.00 34,681.00 34,595.14 -0.01 0.00 0.01 34,220.00 36,294.97 37,052.12 0.01 37,807.50 37,325.96 34,788.00 33,510.00 -161,300.00 37,685.99 36,294.97 37,029.55 -161,300.00 -161,300.00 -161,300.00 36,687.38 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-16 37,646.14 -0.03 35,225.67 -0.00 -0.01 24,790.00 64,300.00 136,860.00 -0.01 66,400.00 0.00 111,464.29 173,980.00 91,890.00 35,462.00 0.26 33,510.00 211,520.00 36,294.97 0.00 39,500.00 34,220.00 132,660.00 34,788.00 34,727.00 0.01 0.03 0.01 34,681.00 36,687.38 37,245.15 0.01 37,924.52 37,807.50 35,782.00 33,723.00 -161,300.00 37,792.72 36,294.97 37,325.96 -161,300.00 -161,300.00 -161,300.00 37,029.55 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-17 37,197.74 0.00 34,776.00 -0.01 -0.03 39,500.00 211,520.00 82,276.67 0.01 132,660.00 0.00 112,645.71 64,300.00 173,980.00 34,433.00 0.17 33,723.00 66,400.00 36,294.97 0.03 91,890.00 34,681.00 47,770.00 35,782.00 34,828.43 0.01 -0.01 0.01 34,788.00 37,029.55 37,374.11 0.00 37,646.14 37,924.52 35,462.00 34,220.00 -161,300.00 37,589.47 36,687.38 37,807.50 -161,300.00 -161,300.00 -161,300.00 37,325.96 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-18 36,883.59 -0.01 34,291.00 -0.01 0.00 91,890.00 66,400.00 112,720.00 0.01 47,770.00 -0.00 122,051.43 211,520.00 64,300.00 34,433.00 0.20 34,220.00 132,660.00 36,687.38 -0.01 173,980.00 34,788.00 157,730.00 35,462.00 34,798.00 0.01 -0.03 0.00 35,782.00 37,325.96 37,402.14 0.03 37,197.74 37,646.14 34,433.00 34,681.00 -161,300.00 37,242.49 37,029.55 37,924.52 -161,300.00 -161,300.00 -161,300.00 37,807.50 -161,300.00 -161,300.00 -161,300.00 -161,300.00 1.00 -161,300.00 3.00 1.00 1.00 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-19 36,883.59 0.00 34,149.00 -0.00 -0.01 173,980.00 132,660.00 99,550.00 0.01 157,730.00 -0.00 110,504.29 66,400.00 211,520.00 34,007.00 0.16 34,681.00 47,770.00 37,029.55 -0.03 64,300.00 35,782.00 93,150.00 34,433.00 34,701.71 0.00 0.00 0.03 35,462.00 37,807.50 37,381.29 -0.01 36,883.59 37,197.74 34,433.00 34,788.00 -215,528.57 36,988.31 37,325.96 37,646.14 -161,300.00 -161,300.00 -287,833.33 37,924.52 -540,900.00 -161,300.00 -161,300.00 -161,300.00 1.33 -161,300.00 3.00 1.00 1.14 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-20 36,687.38 -0.00 33,959.67 -0.01 0.00 64,300.00 47,770.00 94,040.00 0.00 93,150.00 -0.00 105,781.43 132,660.00 66,400.00 34,007.00 0.16 34,788.00 157,730.00 37,325.96 0.00 211,520.00 35,462.00 31,240.00 34,433.00 34,569.86 0.03 -0.01 -0.01 34,433.00 37,924.52 37,290.07 -0.03 36,883.59 36,883.59 34,007.00 35,782.00 -269,757.14 36,818.19 37,807.50 37,197.74 -161,300.00 -161,300.00 -414,366.67 37,646.14 -540,900.00 -161,300.00 -161,300.00 -161,300.00 1.67 -540,900.00 3.00 1.00 1.29 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-23 36,294.97 -0.01 33,746.67 -0.01 -0.00 211,520.00 157,730.00 84,423.33 0.03 31,240.00 -0.01 93,975.71 47,770.00 132,660.00 33,865.00 0.19 35,782.00 93,150.00 37,807.50 -0.01 66,400.00 34,433.00 128,880.00 34,007.00 34,225.00 -0.01 0.00 -0.03 34,433.00 37,646.14 37,073.99 0.00 36,687.38 36,883.59 34,007.00 35,462.00 -323,985.71 36,621.98 37,924.52 36,883.59 -161,300.00 -161,300.00 -540,900.00 37,197.74 -540,900.00 -161,300.00 -540,900.00 -161,300.00 2.00 -540,900.00 3.00 1.00 1.43 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-24 35,972.76 -0.02 33,297.00 -0.01 -0.01 66,400.00 93,150.00 131,633.33 -0.01 128,880.00 -0.01 118,030.00 157,730.00 47,770.00 33,368.00 0.23 35,462.00 31,240.00 37,924.52 0.00 132,660.00 34,433.00 234,780.00 34,007.00 33,824.43 -0.03 -0.00 0.00 34,007.00 37,197.74 36,795.17 -0.01 36,294.97 36,687.38 33,865.00 34,433.00 -378,214.29 36,318.37 37,646.14 36,883.59 -161,300.00 -540,900.00 -540,900.00 36,883.59 -540,900.00 -161,300.00 -540,900.00 -161,300.00 2.00 -540,900.00 3.00 1.00 1.57 -161,300.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-25 35,828.04 0.01 33,036.67 -0.01 -0.02 132,660.00 31,240.00 130,560.00 -0.03 234,780.00 -0.01 103,081.43 93,150.00 157,730.00 32,658.00 0.72 34,433.00 128,880.00 37,646.14 -0.00 47,770.00 34,007.00 28,020.00 33,865.00 33,631.71 0.00 -0.01 -0.01 34,007.00 36,883.59 36,535.44 0.00 35,972.76 36,294.97 33,368.00 34,433.00 -432,442.86 36,031.93 37,197.74 36,687.38 -161,300.00 -540,900.00 -540,900.00 36,883.59 -540,900.00 -161,300.00 -540,900.00 -161,300.00 2.00 -540,900.00 3.00 1.00 1.71 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-26 34,705.56 -0.05 32,338.67 -0.02 0.01 47,770.00 128,880.00 194,436.67 0.00 28,020.00 -0.01 142,044.29 31,240.00 93,150.00 33,084.00 0.24 34,433.00 234,780.00 37,197.74 -0.01 157,730.00 34,007.00 320,510.00 33,368.00 33,180.43 -0.01 -0.02 0.00 33,865.00 36,883.59 36,179.41 -0.00 35,828.04 35,972.76 32,658.00 34,007.00 -486,671.43 35,502.12 36,883.59 36,294.97 -161,300.00 -540,900.00 -540,900.00 36,687.38 -540,900.00 -161,300.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 1.86 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-27 34,745.16 0.02 32,078.33 -0.01 -0.05 157,730.00 234,780.00 122,806.67 -0.01 320,510.00 -0.01 122,352.86 128,880.00 31,240.00 31,274.00 0.74 34,007.00 28,020.00 36,883.59 -0.02 93,150.00 33,865.00 19,890.00 32,658.00 32,876.14 0.00 0.01 -0.00 33,368.00 36,687.38 35,873.92 -0.01 34,705.56 35,828.04 33,084.00 34,007.00 -540,900.00 35,092.92 36,883.59 35,972.76 -161,300.00 -540,900.00 -540,900.00 36,294.97 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-30 34,339.90 -0.00 31,640.67 -0.01 0.02 93,150.00 28,020.00 170,386.67 0.00 19,890.00 -0.01 133,440.00 234,780.00 128,880.00 31,877.00 0.26 34,007.00 320,510.00 36,883.59 0.01 31,240.00 33,368.00 170,760.00 33,084.00 32,556.71 -0.00 -0.05 -0.01 32,658.00 36,294.97 35,510.54 -0.02 34,745.16 34,705.56 31,274.00 33,865.00 -540,900.00 34,596.87 36,687.38 35,828.04 -540,900.00 -540,900.00 -540,900.00 35,972.76 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-10-31 34,339.90 -0.03 31,510.33 -0.00 -0.00 31,240.00 320,510.00 115,800.00 -0.00 170,760.00 -0.01 151,370.00 28,020.00 234,780.00 31,771.00 0.26 33,865.00 19,890.00 36,687.38 -0.05 128,880.00 32,658.00 156,750.00 31,274.00 32,130.71 -0.01 0.02 -0.02 33,084.00 35,972.76 35,175.19 0.01 34,339.90 34,745.16 31,877.00 33,368.00 -540,900.00 34,474.99 36,294.97 34,705.56 -540,900.00 -540,900.00 -540,900.00 35,828.04 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-01 34,339.90 0.00 31,179.00 -0.01 -0.03 128,880.00 19,890.00 144,283.33 -0.01 156,750.00 -0.01 148,007.14 320,510.00 28,020.00 30,883.00 0.22 33,368.00 170,760.00 36,294.97 0.02 234,780.00 33,084.00 105,340.00 31,877.00 31,775.71 -0.02 -0.00 0.01 31,274.00 35,828.04 34,895.89 -0.05 34,339.90 34,339.90 31,771.00 32,658.00 -540,900.00 34,339.90 35,972.76 34,745.16 -540,900.00 -540,900.00 -540,900.00 34,705.56 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-02 34,339.90 0.02 31,108.00 -0.00 0.00 234,780.00 170,760.00 132,470.00 -0.02 105,340.00 -0.00 133,798.57 19,890.00 320,510.00 30,883.00 0.73 32,658.00 156,750.00 35,972.76 -0.00 28,020.00 31,274.00 135,320.00 31,771.00 31,618.57 0.01 -0.03 -0.05 31,877.00 34,705.56 34,662.62 0.02 34,339.90 34,339.90 30,883.00 33,084.00 -540,900.00 34,339.90 35,828.04 34,339.90 -540,900.00 -540,900.00 -540,900.00 34,745.16 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-03 34,339.90 0.01 31,404.00 0.01 0.02 28,020.00 156,750.00 140,830.00 0.01 135,320.00 -0.01 155,771.43 170,760.00 19,890.00 31,558.00 0.81 33,084.00 105,340.00 35,828.04 -0.03 320,510.00 31,877.00 181,830.00 30,883.00 31,431.00 -0.05 0.00 0.02 31,771.00 34,745.16 34,450.03 -0.00 34,339.90 34,339.90 30,883.00 31,274.00 -540,900.00 34,339.90 34,705.56 34,339.90 -540,900.00 -540,900.00 -540,900.00 34,339.90 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-06 34,534.51 0.01 31,759.00 0.01 0.01 320,510.00 105,340.00 120,613.33 -0.05 181,830.00 0.00 116,368.57 156,750.00 170,760.00 31,771.00 0.83 31,274.00 135,320.00 34,705.56 0.00 19,890.00 31,771.00 44,690.00 30,883.00 31,527.29 0.02 0.02 -0.00 30,883.00 34,339.90 34,425.59 -0.03 34,339.90 34,339.90 31,558.00 31,877.00 -540,900.00 34,404.77 34,745.16 34,339.90 -540,900.00 -540,900.00 -540,900.00 34,339.90 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-07 34,705.56 0.02 32,125.67 0.01 0.01 19,890.00 135,320.00 103,896.67 0.02 44,690.00 0.00 125,694.29 105,340.00 156,750.00 31,948.00 0.82 31,877.00 181,830.00 34,745.16 0.02 170,760.00 30,883.00 85,170.00 31,558.00 31,638.86 -0.00 0.01 -0.03 30,883.00 34,339.90 34,419.94 0.00 34,534.51 34,339.90 31,771.00 31,771.00 -540,900.00 34,526.65 34,339.90 34,339.90 -540,900.00 -540,900.00 -540,900.00 34,339.90 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-08 35,281.42 0.01 32,539.67 0.01 0.02 170,760.00 181,830.00 63,083.33 -0.00 85,170.00 0.01 109,784.29 135,320.00 105,340.00 32,658.00 0.83 31,771.00 44,690.00 34,339.90 0.01 156,750.00 30,883.00 59,390.00 31,771.00 31,816.29 -0.03 0.01 0.00 31,558.00 34,339.90 34,554.44 0.02 34,705.56 34,534.51 31,948.00 30,883.00 -540,900.00 34,840.50 34,339.90 34,339.90 -540,900.00 -540,900.00 -540,900.00 34,339.90 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-09 35,788.44 0.00 32,942.00 0.01 0.01 156,750.00 44,690.00 68,313.33 -0.03 59,390.00 0.01 96,017.14 181,830.00 135,320.00 33,013.00 0.80 30,883.00 85,170.00 34,339.90 0.01 105,340.00 31,558.00 60,380.00 31,948.00 32,140.86 0.00 0.02 0.02 31,771.00 34,339.90 34,761.37 0.01 35,281.42 34,705.56 32,658.00 30,883.00 -540,900.00 35,258.47 34,339.90 34,534.51 -540,900.00 -540,900.00 -540,900.00 34,339.90 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-10 35,828.04 -0.01 33,048.33 0.00 0.00 105,340.00 85,170.00 96,703.33 0.00 60,380.00 0.01 105,302.86 44,690.00 181,830.00 33,155.00 0.30 30,883.00 59,390.00 34,339.90 0.02 135,320.00 31,771.00 170,340.00 32,658.00 32,440.00 0.02 0.01 0.01 31,948.00 34,339.90 34,973.97 0.01 35,788.44 35,281.42 33,013.00 31,558.00 -540,900.00 35,632.63 34,339.90 34,705.56 -540,900.00 -540,900.00 -540,900.00 34,534.51 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-13 35,828.04 -0.00 32,989.00 -0.00 -0.01 135,320.00 59,390.00 157,686.67 0.02 170,340.00 0.01 120,591.43 85,170.00 44,690.00 32,977.00 0.28 31,558.00 60,380.00 34,339.90 0.01 181,830.00 31,948.00 242,340.00 33,013.00 32,622.43 0.01 0.00 0.01 32,658.00 34,534.51 35,186.56 0.02 35,828.04 35,788.44 33,155.00 31,771.00 -540,900.00 35,814.84 34,339.90 35,281.42 -540,900.00 -540,900.00 -540,900.00 34,705.56 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-14 35,972.76 0.02 33,154.67 0.01 -0.00 181,830.00 60,380.00 244,490.00 0.01 242,340.00 0.01 140,442.86 59,390.00 85,170.00 32,835.00 0.80 31,771.00 170,340.00 34,339.90 0.00 44,690.00 32,658.00 320,790.00 33,155.00 32,891.14 0.01 -0.01 0.02 33,013.00 34,705.56 35,419.83 0.01 35,828.04 35,828.04 32,977.00 31,948.00 -540,900.00 35,876.28 34,534.51 35,788.44 -540,900.00 -540,900.00 -540,900.00 35,281.42 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-15 36,068.69 -0.00 33,356.00 0.01 0.02 44,690.00 170,340.00 241,780.00 0.01 320,790.00 0.01 157,231.43 60,380.00 59,390.00 33,652.00 0.33 31,948.00 242,340.00 34,534.51 -0.01 85,170.00 33,013.00 162,210.00 32,977.00 33,124.43 0.02 -0.00 0.01 33,155.00 35,281.42 35,638.99 0.00 35,972.76 35,828.04 32,835.00 32,658.00 -540,900.00 35,956.50 34,705.56 35,828.04 -540,900.00 -540,900.00 -540,900.00 35,788.44 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-16 36,294.97 0.00 33,652.00 0.01 -0.00 85,170.00 242,340.00 208,533.33 0.02 162,210.00 0.00 165,435.71 170,340.00 60,380.00 33,581.00 0.81 32,658.00 320,790.00 34,705.56 -0.00 59,390.00 33,155.00 142,600.00 32,835.00 33,276.57 0.01 0.02 0.00 32,977.00 35,788.44 35,866.05 -0.01 36,068.69 35,972.76 33,652.00 33,013.00 -540,900.00 36,112.14 35,281.42 35,828.04 -540,900.00 -540,900.00 -540,900.00 35,828.04 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-17 36,294.97 -0.00 33,663.67 0.00 0.00 59,390.00 320,790.00 118,226.67 0.01 142,600.00 0.00 164,075.71 242,340.00 170,340.00 33,723.00 0.26 33,013.00 162,210.00 35,281.42 0.02 60,380.00 32,977.00 49,870.00 33,652.00 33,372.86 0.00 -0.00 -0.01 32,835.00 35,828.04 36,010.85 -0.00 36,294.97 36,068.69 33,581.00 33,155.00 -540,900.00 36,219.54 35,788.44 35,972.76 -540,900.00 -540,900.00 -540,900.00 35,828.04 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-20 36,294.97 -0.00 33,663.67 0.00 -0.00 60,380.00 162,210.00 91,660.00 0.00 49,870.00 0.00 167,237.14 320,790.00 242,340.00 33,687.00 0.25 33,155.00 142,600.00 35,788.44 -0.00 170,340.00 32,835.00 82,510.00 33,581.00 33,433.71 -0.01 0.00 -0.00 33,652.00 35,828.04 36,083.21 0.02 36,294.97 36,294.97 33,723.00 32,977.00 -540,900.00 36,294.97 35,828.04 36,068.69 -540,900.00 -540,900.00 -540,900.00 35,972.76 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-21 37,029.55 0.05 34,137.00 0.01 -0.00 170,340.00 142,600.00 215,400.00 -0.01 82,510.00 0.01 216,305.71 162,210.00 320,790.00 33,581.00 0.84 32,977.00 49,870.00 35,828.04 0.00 242,340.00 33,652.00 513,820.00 33,723.00 33,743.14 -0.00 -0.00 0.02 33,581.00 35,972.76 36,254.85 -0.00 36,294.97 36,294.97 33,687.00 32,835.00 -540,900.00 36,539.83 35,828.04 36,294.97 -540,900.00 -540,900.00 -540,900.00 36,068.69 -540,900.00 -540,900.00 -540,900.00 -540,900.00 2.00 -540,900.00 3.00 2.00 2.00 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 2.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-22 37,325.96 -0.00 34,610.33 0.01 0.05 242,340.00 49,870.00 219,136.67 -0.00 513,820.00 0.01 190,411.43 142,600.00 162,210.00 35,143.00 0.30 32,835.00 82,510.00 35,828.04 -0.00 320,790.00 33,581.00 61,080.00 33,687.00 34,067.71 0.02 -0.00 -0.00 33,723.00 36,068.69 36,468.84 0.00 37,029.55 36,294.97 33,581.00 33,652.00 -435,057.14 36,883.49 35,972.76 36,294.97 -540,900.00 -540,900.00 -293,933.33 36,294.97 200,000.00 -540,900.00 -540,900.00 -540,900.00 1.67 -540,900.00 3.00 2.00 1.86 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-23 37,197.74 -0.03 34,787.67 0.01 -0.00 320,790.00 82,510.00 227,773.33 0.02 61,080.00 0.00 160,072.86 49,870.00 142,600.00 35,107.00 0.30 33,652.00 513,820.00 35,972.76 -0.00 162,210.00 33,723.00 108,420.00 33,581.00 34,133.57 -0.00 0.05 0.00 33,687.00 36,294.97 36,643.84 -0.00 37,325.96 37,029.55 35,143.00 33,581.00 -329,214.29 37,184.42 36,068.69 36,294.97 -540,900.00 -540,900.00 -46,966.67 36,294.97 200,000.00 -540,900.00 -540,900.00 -540,900.00 1.33 200,000.00 3.00 2.00 1.71 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-24 37,283.40 0.02 34,622.00 -0.00 -0.03 162,210.00 513,820.00 87,973.33 -0.00 108,420.00 0.00 150,388.57 82,510.00 49,870.00 34,113.00 0.71 33,581.00 61,080.00 36,068.69 0.05 142,600.00 33,687.00 94,420.00 35,143.00 34,285.71 0.00 -0.00 -0.00 33,581.00 36,294.97 36,817.37 -0.00 37,197.74 37,325.96 35,107.00 33,723.00 -223,371.43 37,269.04 36,294.97 37,029.55 -540,900.00 -540,900.00 200,000.00 36,294.97 200,000.00 -540,900.00 200,000.00 -540,900.00 1.00 200,000.00 3.00 2.00 1.57 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-27 37,021.09 -0.00 34,444.67 -0.00 0.02 142,600.00 61,080.00 104,970.00 0.00 94,420.00 0.00 146,027.14 513,820.00 82,510.00 34,646.00 0.27 33,723.00 108,420.00 36,294.97 -0.00 49,870.00 33,581.00 112,070.00 35,107.00 34,407.43 -0.00 -0.03 -0.00 35,143.00 36,294.97 36,921.10 0.05 37,283.40 37,197.74 34,113.00 33,687.00 -117,528.57 37,167.41 36,294.97 37,325.96 -540,900.00 200,000.00 200,000.00 37,029.55 200,000.00 -540,900.00 200,000.00 -540,900.00 1.00 200,000.00 3.00 2.00 1.43 -540,900.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-28 37,225.83 0.00 34,610.33 0.00 -0.00 49,870.00 108,420.00 98,666.67 -0.00 112,070.00 0.00 151,690.00 61,080.00 513,820.00 34,575.00 0.75 33,687.00 94,420.00 36,294.97 -0.03 82,510.00 35,143.00 89,510.00 34,113.00 34,539.29 -0.00 0.02 0.05 35,107.00 37,029.55 37,054.08 -0.00 37,021.09 37,283.40 34,646.00 33,581.00 -11,685.71 37,176.77 36,294.97 37,197.74 -540,900.00 200,000.00 200,000.00 37,325.96 200,000.00 -540,900.00 200,000.00 -540,900.00 1.00 200,000.00 3.00 2.00 1.29 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-29 37,325.96 0.00 34,645.67 0.00 0.00 82,510.00 94,420.00 367,950.00 -0.00 89,510.00 0.01 268,798.57 108,420.00 61,080.00 34,610.00 0.77 33,581.00 112,070.00 36,294.97 0.02 513,820.00 35,107.00 902,270.00 34,646.00 34,706.57 0.05 -0.00 -0.00 34,113.00 37,325.96 37,201.36 -0.03 37,225.83 37,021.09 34,575.00 35,143.00 94,157.14 37,190.96 37,029.55 37,283.40 -540,900.00 200,000.00 200,000.00 37,197.74 200,000.00 -540,900.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.14 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-11-30 37,325.96 -0.00 34,693.00 0.00 0.00 513,820.00 112,070.00 424,120.00 0.05 902,270.00 -0.00 235,478.57 94,420.00 108,420.00 34,752.00 0.27 35,143.00 89,510.00 37,029.55 -0.00 61,080.00 34,113.00 280,580.00 34,575.00 34,645.71 -0.00 0.00 -0.03 34,646.00 37,197.74 37,243.71 0.02 37,325.96 37,225.83 34,610.00 35,107.00 200,000.00 37,292.58 37,325.96 37,021.09 -540,900.00 200,000.00 200,000.00 37,283.40 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-01 37,283.40 -0.00 34,705.00 0.00 -0.00 61,080.00 89,510.00 430,843.33 -0.00 280,580.00 -0.00 242,421.43 112,070.00 94,420.00 34,717.00 0.23 35,107.00 902,270.00 37,325.96 0.00 108,420.00 34,646.00 109,680.00 34,610.00 34,579.86 -0.03 0.00 0.02 34,575.00 37,283.40 37,237.63 -0.00 37,325.96 37,325.96 34,752.00 34,113.00 200,000.00 37,311.77 37,197.74 37,225.83 200,000.00 200,000.00 200,000.00 37,021.09 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-04 37,180.00 -0.01 34,575.00 -0.00 -0.00 108,420.00 902,270.00 216,890.00 -0.03 109,680.00 0.00 264,134.29 89,510.00 112,070.00 34,646.00 0.25 34,113.00 280,580.00 37,197.74 0.00 94,420.00 34,575.00 260,410.00 34,752.00 34,615.43 0.02 -0.00 -0.00 34,610.00 37,021.09 37,235.09 0.00 37,283.40 37,325.96 34,717.00 34,646.00 200,000.00 37,263.12 37,283.40 37,325.96 200,000.00 200,000.00 200,000.00 37,225.83 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-05 37,103.24 0.00 34,489.00 -0.00 -0.01 94,420.00 280,580.00 155,850.00 0.02 260,410.00 -0.00 264,568.57 902,270.00 89,510.00 34,362.00 0.65 34,646.00 109,680.00 37,283.40 -0.00 112,070.00 34,610.00 97,460.00 34,717.00 34,588.71 -0.00 -0.00 0.00 34,752.00 37,225.83 37,209.35 0.00 37,180.00 37,283.40 34,646.00 34,575.00 200,000.00 37,188.88 37,021.09 37,325.96 200,000.00 200,000.00 200,000.00 37,325.96 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 3.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 21.62 21.62 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 600.00 600.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 600.00 21.62 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 3.00 3.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-06 37,325.96 0.02 34,652.00 0.00 0.00 112,070.00 109,680.00 175,160.00 -0.00 97,460.00 0.00 272,502.86 280,580.00 902,270.00 34,459.00 0.72 34,575.00 260,410.00 37,021.09 -0.00 89,510.00 34,752.00 167,610.00 34,646.00 34,668.71 0.00 -0.01 0.00 34,717.00 37,325.96 37,252.91 -0.00 37,103.24 37,180.00 34,362.00 34,610.00 200,000.00 37,203.07 37,225.83 37,283.40 200,000.00 200,000.00 200,000.00 37,325.96 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 17.44 19.83 21.62 21.62 21.62 21.62 21.62 21.62 600.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 514.29 400.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 3.00 2.71 2.33 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-07 37,343.70 -0.01 34,789.67 0.00 0.02 89,510.00 260,410.00 206,940.00 0.00 167,610.00 0.00 310,537.14 109,680.00 280,580.00 35,135.00 0.28 34,610.00 97,460.00 37,225.83 -0.01 902,270.00 34,717.00 355,750.00 34,362.00 34,692.29 0.00 0.00 -0.00 34,646.00 37,325.96 37,269.75 -0.00 37,325.96 37,103.24 34,459.00 34,752.00 200,000.00 37,257.63 37,325.96 37,180.00 200,000.00 200,000.00 200,000.00 37,283.40 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 13.27 18.04 9.09 21.62 21.62 21.62 21.62 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 600.00 3.00 428.57 200.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 3.00 1.00 2.43 1.67 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-08 37,565.29 0.01 35,000.00 0.01 -0.01 902,270.00 97,460.00 259,366.67 0.00 355,750.00 0.00 218,032.86 260,410.00 109,680.00 34,775.00 0.77 34,752.00 167,610.00 37,325.96 0.00 280,580.00 34,646.00 254,740.00 34,459.00 34,740.57 -0.00 0.02 -0.00 34,362.00 37,283.40 37,303.94 -0.01 37,343.70 37,325.96 35,135.00 34,717.00 200,000.00 37,411.65 37,325.96 37,103.24 200,000.00 200,000.00 200,000.00 37,180.00 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 600.00 1.00 600.00 600.00 600.00 600.00 9.09 16.25 9.09 9.09 21.62 21.62 21.62 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 3.00 342.86 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 3.00 1.00 1.00 2.14 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-11 37,565.29 -0.00 34,955.00 -0.00 0.01 280,580.00 167,610.00 219,960.00 -0.00 254,740.00 0.00 185,005.71 97,460.00 260,410.00 35,090.00 0.22 34,717.00 355,750.00 37,325.96 0.02 109,680.00 34,362.00 49,390.00 35,135.00 34,781.00 -0.00 -0.01 -0.01 34,459.00 37,180.00 37,338.13 0.00 37,565.29 37,343.70 34,775.00 34,646.00 200,000.00 37,491.43 37,283.40 37,325.96 200,000.00 200,000.00 200,000.00 37,103.24 200,000.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 0.00 1.00 600.00 600.00 600.00 600.00 9.09 14.46 9.09 9.09 9.09 21.62 21.62 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 3.00 257.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 1.00 1.00 1.00 1.86 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-12 37,565.29 0.00 35,075.00 0.00 -0.00 109,680.00 355,750.00 227,213.33 -0.00 49,390.00 0.00 223,267.14 167,610.00 97,460.00 35,000.00 0.75 34,646.00 254,740.00 37,283.40 -0.01 260,410.00 34,459.00 377,510.00 34,775.00 34,850.86 -0.01 0.01 0.00 35,135.00 37,103.24 37,378.40 0.02 37,565.29 37,565.29 35,090.00 34,362.00 108,685.71 37,565.29 37,180.00 37,343.70 200,000.00 200,000.00 -13,066.67 37,325.96 -439,200.00 200,000.00 200,000.00 200,000.00 1.00 200,000.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 0.00 1.00 0.00 600.00 600.00 600.00 9.09 12.67 9.09 9.09 9.09 9.09 21.62 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 171.43 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 3.00 1.00 1.00 1.00 1.57 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-13 37,565.29 -0.00 35,060.00 -0.00 0.00 260,410.00 254,740.00 240,683.33 -0.01 377,510.00 0.00 228,230.00 355,750.00 167,610.00 35,135.00 0.25 34,362.00 49,390.00 37,180.00 0.01 97,460.00 35,135.00 295,150.00 35,090.00 34,948.43 0.00 -0.00 0.02 34,775.00 37,325.96 37,433.44 -0.01 37,565.29 37,565.29 35,000.00 34,459.00 17,371.43 37,565.29 37,103.24 37,565.29 200,000.00 200,000.00 -226,133.33 37,343.70 -439,200.00 200,000.00 200,000.00 200,000.00 1.00 -439,200.00 3.00 1.00 1.00 200,000.00 1.00 1.00 21.62 0.00 1.00 0.00 0.00 600.00 600.00 9.09 10.88 9.09 9.09 9.09 9.09 9.09 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 85.71 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 3.00 1.00 1.00 1.00 1.00 1.29 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-14 37,565.29 0.00 35,075.00 0.00 -0.00 97,460.00 49,390.00 278,980.00 0.00 295,150.00 0.00 237,775.71 254,740.00 355,750.00 35,045.00 0.24 34,459.00 377,510.00 37,103.24 -0.00 167,610.00 34,775.00 164,280.00 35,000.00 35,032.14 0.02 0.00 -0.01 35,090.00 37,343.70 37,499.45 0.01 37,565.29 37,565.29 35,135.00 35,135.00 -73,942.86 37,565.29 37,325.96 37,565.29 200,000.00 200,000.00 -439,200.00 37,565.29 -439,200.00 200,000.00 -439,200.00 200,000.00 1.00 -439,200.00 3.00 1.00 1.00 200,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 600.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 21.62 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-15 37,565.29 0.00 35,075.00 0.00 0.00 167,610.00 377,510.00 273,763.33 0.02 164,280.00 0.00 265,525.71 49,390.00 254,740.00 35,045.00 0.69 35,135.00 295,150.00 37,325.96 0.00 355,750.00 35,090.00 361,860.00 35,135.00 35,032.14 -0.01 -0.00 0.01 35,000.00 37,565.29 37,533.64 -0.00 37,565.29 37,565.29 35,045.00 34,775.00 -165,257.14 37,565.29 37,343.70 37,565.29 200,000.00 -439,200.00 -439,200.00 37,565.29 -439,200.00 200,000.00 -439,200.00 200,000.00 1.00 -439,200.00 1.00 1.00 1.00 200,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-18 37,749.54 0.00 35,135.00 0.00 0.00 355,750.00 295,150.00 206,350.00 -0.01 361,860.00 0.00 227,977.14 377,510.00 49,390.00 35,135.00 0.76 34,775.00 164,280.00 37,343.70 -0.00 254,740.00 35,000.00 92,910.00 35,045.00 35,096.43 0.01 0.00 -0.00 35,135.00 37,565.29 37,591.62 0.00 37,565.29 37,565.29 35,045.00 35,090.00 -256,571.43 37,626.71 37,565.29 37,565.29 200,000.00 -439,200.00 -439,200.00 37,565.29 -439,200.00 200,000.00 -439,200.00 200,000.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-19 37,749.54 -0.01 35,135.00 0.00 0.00 254,740.00 164,280.00 161,246.67 0.01 92,910.00 -0.00 195,724.29 295,150.00 377,510.00 35,225.00 0.23 35,090.00 361,860.00 37,565.29 0.00 49,390.00 35,135.00 28,970.00 35,045.00 35,090.00 -0.00 0.00 0.00 35,045.00 37,565.29 37,617.94 -0.00 37,749.54 37,565.29 35,135.00 35,000.00 -347,885.71 37,688.13 37,565.29 37,565.29 200,000.00 -439,200.00 -439,200.00 37,565.29 -439,200.00 200,000.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-20 37,749.54 0.00 35,105.00 -0.00 -0.01 49,390.00 361,860.00 45,363.33 -0.00 28,970.00 0.00 190,698.57 164,280.00 295,150.00 35,045.00 0.24 35,000.00 92,910.00 37,565.29 0.00 377,510.00 35,045.00 14,210.00 35,135.00 35,096.43 0.00 0.00 -0.00 35,045.00 37,565.29 37,644.26 0.00 37,749.54 37,749.54 35,225.00 35,135.00 -439,200.00 37,749.54 37,565.29 37,565.29 200,000.00 -439,200.00 -439,200.00 37,565.29 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-21 37,749.54 0.01 35,120.00 0.00 0.00 377,510.00 92,910.00 27,860.00 0.00 14,210.00 0.00 142,540.00 361,860.00 164,280.00 35,045.00 0.73 35,135.00 28,970.00 37,565.29 0.00 295,150.00 35,045.00 40,400.00 35,225.00 35,115.71 -0.00 -0.01 0.00 35,135.00 37,565.29 37,670.58 0.00 37,749.54 37,749.54 35,045.00 35,045.00 -439,200.00 37,749.54 37,565.29 37,749.54 -439,200.00 -439,200.00 -439,200.00 37,565.29 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-22 37,807.50 0.01 35,330.33 0.01 0.01 295,150.00 28,970.00 112,256.67 -0.00 40,400.00 0.00 140,684.29 92,910.00 361,860.00 35,270.00 0.83 35,045.00 14,210.00 37,565.29 -0.01 164,280.00 35,135.00 282,160.00 35,045.00 35,205.86 0.00 0.00 0.00 35,225.00 37,565.29 37,705.18 0.00 37,749.54 37,749.54 35,045.00 35,045.00 -439,200.00 37,768.86 37,565.29 37,749.54 -439,200.00 -439,200.00 -439,200.00 37,749.54 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-25 38,585.06 0.02 35,780.67 0.01 0.01 164,280.00 14,210.00 168,716.67 0.00 282,160.00 0.01 143,442.86 28,970.00 92,910.00 35,676.00 0.84 35,045.00 40,400.00 37,565.29 0.00 361,860.00 35,225.00 183,590.00 35,045.00 35,398.86 0.00 0.01 0.00 35,045.00 37,749.54 37,850.86 -0.01 37,807.50 37,749.54 35,270.00 35,135.00 -439,200.00 38,047.37 37,565.29 37,749.54 -439,200.00 -439,200.00 -439,200.00 37,749.54 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-26 39,288.76 0.01 36,336.33 0.02 0.02 361,860.00 40,400.00 219,630.00 0.00 183,590.00 0.01 119,340.00 14,210.00 28,970.00 36,396.00 0.79 35,135.00 282,160.00 37,565.29 0.01 92,910.00 35,045.00 193,140.00 35,270.00 35,656.29 0.00 0.01 -0.01 35,045.00 37,749.54 38,097.07 0.00 38,585.06 37,807.50 35,676.00 35,225.00 -439,200.00 38,560.44 37,749.54 37,749.54 -439,200.00 -439,200.00 -439,200.00 37,749.54 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-27 39,446.64 0.00 36,756.67 0.01 0.01 92,910.00 282,160.00 243,903.33 0.00 193,140.00 0.01 156,778.57 40,400.00 14,210.00 36,937.00 0.37 35,225.00 183,590.00 37,749.54 0.01 28,970.00 35,045.00 354,980.00 35,676.00 35,900.86 -0.01 0.02 0.00 35,270.00 37,749.54 38,339.51 0.01 39,288.76 38,585.06 36,396.00 35,045.00 -439,200.00 39,106.82 37,749.54 37,807.50 -439,200.00 -439,200.00 -439,200.00 37,749.54 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-28 39,778.98 0.00 36,997.00 0.01 0.00 28,970.00 183,590.00 397,900.00 -0.01 354,980.00 0.01 244,865.71 282,160.00 40,400.00 36,937.00 0.80 35,045.00 193,140.00 37,749.54 0.02 14,210.00 35,270.00 645,580.00 36,396.00 36,196.86 0.00 0.01 0.01 35,676.00 37,749.54 38,629.43 0.01 39,446.64 39,288.76 36,937.00 35,045.00 -439,200.00 39,504.79 37,749.54 38,585.06 -439,200.00 -439,200.00 -439,200.00 37,807.50 -439,200.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2023-12-29 40,750.23 0.06 37,747.67 0.02 0.00 14,210.00 193,140.00 659,823.33 0.00 645,580.00 0.02 382,680.00 183,590.00 282,160.00 37,117.00 0.83 35,045.00 354,980.00 37,749.54 0.01 40,400.00 35,676.00 978,910.00 36,937.00 36,788.86 0.01 0.00 0.01 36,396.00 37,807.50 39,058.10 0.02 39,778.98 39,446.64 36,937.00 35,270.00 -427,900.00 39,991.95 37,749.54 39,288.76 -439,200.00 -439,200.00 -412,833.33 38,585.06 -360,100.00 -439,200.00 -439,200.00 -439,200.00 1.00 -439,200.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-02 42,162.64 0.01 38,678.67 0.02 0.06 40,400.00 354,980.00 596,146.67 0.01 978,910.00 0.02 400,330.00 193,140.00 183,590.00 39,189.00 0.82 35,270.00 645,580.00 37,749.54 0.00 282,160.00 36,396.00 163,950.00 36,937.00 37,426.00 0.01 0.00 0.02 36,937.00 38,585.06 39,688.54 0.01 40,750.23 39,778.98 37,117.00 35,676.00 -416,600.00 40,897.28 37,807.50 39,446.64 -439,200.00 -439,200.00 -386,466.67 39,288.76 -360,100.00 -439,200.00 -439,200.00 -439,200.00 1.00 -360,100.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-03 42,162.64 0.00 39,564.67 0.02 0.01 282,160.00 645,580.00 433,306.67 0.01 163,950.00 0.02 382,458.57 354,980.00 193,140.00 39,730.00 0.77 35,676.00 978,910.00 37,807.50 0.00 183,590.00 36,937.00 157,060.00 37,117.00 38,011.57 0.02 0.06 0.01 36,937.00 39,288.76 40,310.71 0.00 42,162.64 40,750.23 39,189.00 36,396.00 -405,300.00 41,691.83 38,585.06 39,778.98 -439,200.00 -439,200.00 -360,100.00 39,446.64 -360,100.00 -439,200.00 -360,100.00 -439,200.00 1.00 -360,100.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-04 42,162.64 -0.01 39,670.00 0.00 0.00 183,590.00 978,910.00 139,636.67 0.02 157,060.00 0.01 370,217.14 645,580.00 354,980.00 39,775.00 0.26 36,396.00 163,950.00 38,585.06 0.06 193,140.00 36,937.00 97,900.00 39,189.00 38,455.71 0.01 0.01 0.00 37,117.00 39,446.64 40,821.79 0.00 42,162.64 42,162.64 39,730.00 36,937.00 -394,000.00 42,162.64 39,288.76 40,750.23 -439,200.00 -360,100.00 -360,100.00 39,778.98 -360,100.00 -439,200.00 -360,100.00 -439,200.00 1.00 -360,100.00 1.00 1.00 1.00 -439,200.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-05 41,999.91 -0.02 39,339.67 -0.01 -0.01 193,140.00 163,950.00 118,213.33 0.01 97,900.00 0.01 356,865.71 978,910.00 645,580.00 39,505.00 0.19 36,937.00 157,060.00 39,288.76 0.01 354,980.00 37,117.00 99,680.00 39,730.00 38,713.14 0.00 0.00 0.00 39,189.00 39,778.98 41,209.09 0.06 42,162.64 42,162.64 39,775.00 36,937.00 -382,700.00 42,108.39 39,446.64 42,162.64 -439,200.00 -360,100.00 -360,100.00 40,750.23 -360,100.00 -439,200.00 -360,100.00 -439,200.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-08 40,428.00 -0.04 38,528.67 -0.02 -0.02 354,980.00 157,060.00 213,636.67 0.00 99,680.00 0.00 369,487.14 163,950.00 978,910.00 38,739.00 0.19 36,937.00 97,900.00 39,446.64 0.00 645,580.00 39,189.00 443,330.00 39,775.00 38,771.00 0.00 -0.01 0.06 39,730.00 40,750.23 41,349.29 0.01 41,999.91 42,162.64 39,505.00 37,117.00 -371,400.00 41,530.18 39,778.98 42,162.64 -439,200.00 -360,100.00 -360,100.00 42,162.64 -360,100.00 -439,200.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-09 40,428.00 -0.01 37,732.67 -0.02 -0.04 645,580.00 97,900.00 217,743.33 0.00 443,330.00 0.00 293,007.14 157,060.00 163,950.00 37,342.00 0.19 37,117.00 99,680.00 39,778.98 -0.01 978,910.00 39,730.00 110,220.00 39,505.00 38,771.00 0.06 -0.02 0.01 39,775.00 42,162.64 41,442.01 0.00 40,428.00 41,999.91 38,739.00 39,189.00 -360,100.00 40,951.97 40,750.23 42,162.64 -439,200.00 -360,100.00 -360,100.00 42,162.64 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-10 39,949.65 0.00 37,237.00 -0.01 -0.01 978,910.00 99,680.00 215,780.00 0.06 110,220.00 -0.01 166,561.43 97,900.00 157,060.00 37,117.00 0.58 39,189.00 443,330.00 40,750.23 -0.02 163,950.00 39,775.00 93,790.00 38,739.00 38,494.29 0.01 -0.04 0.00 39,505.00 42,162.64 41,327.64 -0.01 40,428.00 40,428.00 37,342.00 39,730.00 -360,100.00 40,268.55 42,162.64 41,999.91 -360,100.00 -360,100.00 -360,100.00 42,162.64 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-11 39,774.10 -0.01 37,057.00 -0.00 0.00 163,950.00 443,330.00 174,046.67 0.01 93,790.00 -0.01 188,587.14 99,680.00 97,900.00 37,252.00 0.16 39,730.00 110,220.00 42,162.64 -0.04 157,060.00 39,505.00 318,130.00 37,342.00 38,076.00 0.00 -0.01 -0.01 38,739.00 42,162.64 40,986.42 -0.02 39,949.65 40,428.00 37,117.00 39,775.00 -360,100.00 40,050.59 42,162.64 40,428.00 -360,100.00 -360,100.00 -360,100.00 41,999.91 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-12 39,408.98 -0.01 36,846.67 -0.01 -0.01 157,060.00 110,220.00 193,030.00 0.00 318,130.00 -0.01 190,031.43 443,330.00 99,680.00 36,802.00 0.17 39,775.00 93,790.00 42,162.64 -0.01 97,900.00 38,739.00 167,170.00 37,117.00 37,606.14 -0.01 0.00 -0.02 37,342.00 41,999.91 40,593.04 -0.04 39,774.10 39,949.65 37,252.00 39,505.00 -360,100.00 39,710.91 42,162.64 40,428.00 -360,100.00 -360,100.00 -360,100.00 40,428.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-15 39,080.99 -0.01 36,501.33 -0.01 -0.01 97,900.00 93,790.00 306,140.00 -0.01 167,170.00 -0.01 237,920.00 110,220.00 443,330.00 36,486.00 0.17 39,505.00 318,130.00 42,162.64 0.00 99,680.00 37,342.00 433,120.00 37,252.00 37,136.29 -0.02 -0.01 -0.04 37,117.00 40,428.00 40,152.80 -0.01 39,408.98 39,774.10 36,802.00 38,739.00 -360,100.00 39,421.36 41,999.91 39,949.65 -360,100.00 -360,100.00 -360,100.00 40,428.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-16 39,171.35 0.01 36,396.00 -0.00 -0.01 99,680.00 318,130.00 221,113.33 -0.02 433,120.00 -0.01 232,687.14 93,790.00 110,220.00 36,216.00 0.58 38,739.00 167,170.00 41,999.91 -0.01 443,330.00 37,117.00 63,050.00 36,802.00 36,814.43 -0.04 -0.01 -0.01 37,252.00 40,428.00 39,748.73 0.00 39,080.99 39,408.98 36,486.00 37,342.00 -360,100.00 39,220.44 40,428.00 39,774.10 -360,100.00 -360,100.00 -360,100.00 39,949.65 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-17 38,789.65 -0.01 36,246.00 -0.00 0.01 443,330.00 167,170.00 232,396.67 -0.04 63,050.00 -0.01 198,071.43 318,130.00 93,790.00 36,486.00 0.16 37,342.00 433,120.00 40,428.00 -0.01 110,220.00 37,252.00 201,020.00 36,486.00 36,627.86 -0.01 -0.01 0.00 36,802.00 39,949.65 39,514.68 -0.01 39,171.35 39,080.99 36,216.00 37,117.00 -360,100.00 39,014.00 40,428.00 39,408.98 -360,100.00 -360,100.00 -360,100.00 39,774.10 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-18 38,499.57 -0.01 36,036.00 -0.01 -0.01 110,220.00 433,120.00 172,530.00 -0.01 201,020.00 -0.01 218,542.86 167,170.00 318,130.00 36,036.00 0.15 37,117.00 63,050.00 40,428.00 -0.01 93,790.00 36,802.00 253,520.00 36,216.00 36,409.14 0.00 0.01 -0.01 36,486.00 39,774.10 39,239.19 -0.01 38,789.65 39,171.35 36,486.00 37,252.00 -360,100.00 38,820.19 39,949.65 39,080.99 -360,100.00 -360,100.00 -360,100.00 39,408.98 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-19 38,602.92 0.01 35,886.00 -0.00 -0.01 93,790.00 63,050.00 306,580.00 0.00 253,520.00 -0.00 271,601.43 433,120.00 167,170.00 35,586.00 0.61 37,252.00 201,020.00 39,949.65 0.01 318,130.00 36,486.00 465,200.00 36,486.00 36,235.43 -0.01 -0.01 -0.01 36,216.00 39,408.98 39,046.79 -0.01 38,499.57 38,789.65 36,036.00 36,802.00 -360,100.00 38,630.71 39,774.10 39,171.35 -360,100.00 -360,100.00 -360,100.00 39,080.99 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-22 38,602.92 0.00 35,886.00 0.00 0.01 318,130.00 201,020.00 301,290.00 -0.01 465,200.00 -0.00 252,604.29 63,050.00 433,120.00 36,036.00 0.20 36,802.00 253,520.00 39,774.10 -0.01 167,170.00 36,216.00 185,150.00 36,036.00 36,126.00 -0.01 -0.01 -0.01 36,486.00 39,080.99 38,879.48 0.01 38,602.92 38,499.57 35,586.00 36,486.00 -360,100.00 38,568.47 39,408.98 38,789.65 -360,100.00 -360,100.00 -360,100.00 39,171.35 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-23 38,264.84 -0.02 35,810.67 -0.00 0.00 167,170.00 253,520.00 272,096.67 -0.01 185,150.00 -0.00 252,428.57 201,020.00 63,050.00 36,036.00 0.17 36,486.00 465,200.00 39,408.98 -0.01 433,120.00 36,486.00 165,940.00 35,586.00 35,965.14 -0.01 0.01 0.01 36,036.00 39,171.35 38,716.03 -0.01 38,602.92 38,602.92 36,036.00 36,216.00 -360,100.00 38,490.22 39,080.99 38,499.57 -360,100.00 -360,100.00 -360,100.00 38,789.65 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-24 37,924.52 0.00 35,585.33 -0.01 -0.02 433,120.00 465,200.00 215,190.00 -0.01 165,940.00 -0.00 232,622.86 253,520.00 201,020.00 35,360.00 0.21 36,216.00 185,150.00 39,080.99 0.01 63,050.00 36,036.00 294,480.00 36,036.00 35,842.86 0.01 0.00 -0.01 35,586.00 38,789.65 38,550.82 -0.01 38,264.84 38,602.92 36,036.00 36,486.00 -360,100.00 38,264.09 39,171.35 38,602.92 -360,100.00 -360,100.00 -360,100.00 38,499.57 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-25 37,924.52 -0.00 35,345.00 -0.01 0.00 63,050.00 185,150.00 180,520.00 0.01 294,480.00 -0.00 235,207.14 465,200.00 253,520.00 35,360.00 0.18 36,486.00 165,940.00 39,171.35 0.00 201,020.00 35,586.00 81,140.00 36,036.00 35,675.57 -0.01 -0.02 -0.01 36,036.00 38,499.57 38,372.71 0.01 37,924.52 38,264.84 35,360.00 36,036.00 -360,100.00 38,037.96 38,789.65 38,602.92 -360,100.00 -360,100.00 -360,100.00 38,602.92 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-26 38,070.00 0.02 35,540.33 0.01 -0.00 201,020.00 165,940.00 170,493.33 -0.01 81,140.00 -0.00 225,898.57 185,150.00 465,200.00 35,315.00 0.69 36,036.00 294,480.00 38,789.65 -0.02 253,520.00 36,036.00 135,860.00 35,360.00 35,662.71 -0.01 0.00 0.01 36,036.00 38,602.92 38,269.90 0.00 37,924.52 37,924.52 35,360.00 35,586.00 -360,100.00 37,973.02 38,499.57 38,264.84 -360,100.00 -360,100.00 -360,100.00 38,602.92 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-29 38,315.46 -0.00 35,690.67 0.00 0.02 253,520.00 294,480.00 94,053.33 -0.01 135,860.00 0.00 198,990.00 165,940.00 185,150.00 35,946.00 0.23 35,586.00 81,140.00 38,499.57 0.00 465,200.00 36,036.00 65,160.00 35,360.00 35,694.86 0.01 -0.00 0.00 35,360.00 38,602.92 38,243.60 -0.02 38,070.00 37,924.52 35,315.00 36,036.00 -360,100.00 38,103.33 38,602.92 37,924.52 -360,100.00 -360,100.00 -360,100.00 38,264.84 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-30 38,703.30 0.01 35,931.00 0.01 -0.00 465,200.00 81,140.00 90,760.00 0.01 65,160.00 0.00 142,712.86 294,480.00 165,940.00 35,811.00 0.71 36,036.00 135,860.00 38,602.92 -0.00 185,150.00 35,360.00 71,260.00 35,315.00 35,694.86 0.00 0.02 -0.02 35,360.00 38,264.84 38,257.94 0.00 38,315.46 38,070.00 35,946.00 36,036.00 -360,100.00 38,362.92 38,602.92 37,924.52 -360,100.00 -360,100.00 -360,100.00 37,924.52 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-01-31 38,587.09 -0.00 35,931.00 0.00 0.01 185,150.00 135,860.00 90,206.67 0.00 71,260.00 -0.00 135,434.29 81,140.00 294,480.00 36,036.00 0.20 36,036.00 65,160.00 38,602.92 0.02 165,940.00 35,360.00 134,200.00 35,946.00 35,682.00 -0.02 -0.00 0.00 35,315.00 37,924.52 38,255.68 -0.00 38,703.30 38,315.46 35,811.00 35,360.00 -360,100.00 38,535.29 38,264.84 38,070.00 -360,100.00 -360,100.00 -360,100.00 37,924.52 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-01 39,303.71 0.03 36,276.33 0.01 -0.00 165,940.00 65,160.00 113,403.33 -0.02 134,200.00 0.01 130,978.57 135,860.00 81,140.00 35,946.00 0.77 35,360.00 71,260.00 38,264.84 -0.00 294,480.00 35,315.00 134,750.00 35,811.00 35,894.43 0.00 0.01 -0.00 35,946.00 37,924.52 38,404.09 0.02 38,587.09 38,703.30 36,036.00 35,360.00 -360,100.00 38,864.70 37,924.52 38,315.46 -360,100.00 -360,100.00 -360,100.00 38,070.00 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-02 39,874.46 0.03 36,877.00 0.02 0.03 294,480.00 71,260.00 143,113.33 0.00 134,750.00 0.01 111,822.86 65,160.00 135,860.00 36,847.00 0.75 35,360.00 134,200.00 37,924.52 0.01 81,140.00 35,946.00 160,390.00 36,036.00 36,248.43 -0.00 -0.00 0.02 35,811.00 38,070.00 38,682.65 -0.00 39,303.71 38,587.09 35,946.00 35,315.00 -360,100.00 39,255.09 37,924.52 38,703.30 -360,100.00 -360,100.00 -360,100.00 38,315.46 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-05 40,206.70 -0.00 37,462.67 0.02 0.03 81,140.00 134,200.00 120,580.00 -0.00 160,390.00 0.01 109,745.71 71,260.00 65,160.00 37,838.00 0.25 35,315.00 134,750.00 37,924.52 -0.00 135,860.00 35,811.00 66,600.00 35,946.00 36,589.57 0.02 0.03 -0.00 36,036.00 38,315.46 39,008.67 0.01 39,874.46 39,303.71 36,847.00 35,946.00 -360,100.00 39,794.95 38,070.00 38,587.09 -360,100.00 -360,100.00 -360,100.00 38,703.30 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-06 39,978.94 -0.02 37,477.67 0.00 -0.00 135,860.00 134,750.00 126,206.67 0.02 66,600.00 0.00 111,998.57 134,200.00 71,260.00 37,703.00 0.21 35,946.00 160,390.00 38,070.00 0.03 65,160.00 36,036.00 151,630.00 36,847.00 36,724.71 -0.00 0.03 0.01 35,946.00 38,703.30 39,281.38 -0.00 40,206.70 39,874.46 37,838.00 35,811.00 -360,100.00 40,020.03 38,315.46 39,303.71 -360,100.00 -360,100.00 -360,100.00 38,587.09 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-07 39,774.10 -0.00 37,102.33 -0.01 -0.02 65,160.00 160,390.00 134,756.67 -0.00 151,630.00 0.00 129,267.14 134,750.00 134,200.00 36,892.00 0.17 35,811.00 66,600.00 38,315.46 0.03 71,260.00 35,946.00 186,040.00 37,838.00 36,853.43 0.01 -0.00 -0.00 36,847.00 38,587.09 39,489.76 0.03 39,978.94 40,206.70 37,703.00 36,036.00 -360,100.00 39,986.58 38,703.30 39,874.46 -360,100.00 -360,100.00 -360,100.00 39,303.71 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-15 39,446.64 -0.00 36,757.00 -0.01 -0.00 71,260.00 66,600.00 151,333.33 0.01 186,040.00 0.00 135,705.71 160,390.00 134,750.00 36,712.00 0.17 36,036.00 151,630.00 38,703.30 -0.00 134,200.00 36,847.00 116,330.00 37,703.00 36,943.57 -0.00 -0.02 0.03 37,838.00 39,303.71 39,595.95 0.03 39,774.10 39,978.94 36,892.00 35,946.00 -360,100.00 39,733.23 38,587.09 40,206.70 -360,100.00 -360,100.00 -360,100.00 39,874.46 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-16 39,329.23 -0.01 36,606.67 -0.00 -0.00 134,200.00 151,630.00 145,856.67 -0.00 116,330.00 0.00 135,848.57 66,600.00 160,390.00 36,667.00 0.18 35,946.00 186,040.00 38,587.09 -0.02 134,750.00 37,838.00 135,200.00 36,892.00 37,014.29 0.03 -0.00 0.03 37,703.00 39,874.46 39,701.97 -0.00 39,446.64 39,774.10 36,712.00 36,847.00 -360,100.00 39,516.66 39,303.71 39,978.94 -360,100.00 -360,100.00 -360,100.00 40,206.70 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-19 39,171.35 0.00 36,531.33 -0.00 -0.01 134,750.00 186,040.00 150,443.33 0.03 135,200.00 -0.00 145,141.43 151,630.00 66,600.00 36,441.00 0.57 36,847.00 116,330.00 39,303.71 -0.00 160,390.00 37,703.00 199,800.00 36,712.00 36,962.71 0.03 -0.00 -0.00 36,892.00 40,206.70 39,683.06 -0.02 39,329.23 39,446.64 36,667.00 37,838.00 -360,100.00 39,315.74 39,874.46 39,774.10 -360,100.00 -360,100.00 -360,100.00 39,978.94 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-20 39,171.35 -0.00 36,456.00 -0.00 0.00 160,390.00 116,330.00 186,960.00 0.03 199,800.00 -0.01 154,497.14 186,040.00 151,630.00 36,486.00 0.16 37,838.00 135,200.00 39,874.46 -0.00 66,600.00 36,892.00 225,880.00 36,667.00 36,763.14 -0.00 -0.01 -0.02 36,712.00 39,978.94 39,582.62 -0.00 39,171.35 39,329.23 36,441.00 37,703.00 -360,100.00 39,223.97 40,206.70 39,446.64 -360,100.00 -360,100.00 -360,100.00 39,774.10 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-21 39,080.99 -0.01 36,381.00 -0.00 -0.00 66,600.00 135,200.00 174,713.33 -0.00 225,880.00 -0.01 159,048.57 116,330.00 186,040.00 36,441.00 0.15 37,703.00 199,800.00 40,206.70 -0.01 151,630.00 36,712.00 98,460.00 36,441.00 36,550.71 -0.02 0.00 -0.00 36,667.00 39,774.10 39,421.80 -0.00 39,171.35 39,171.35 36,486.00 36,892.00 -360,100.00 39,141.23 39,978.94 39,329.23 -360,100.00 -360,100.00 -360,100.00 39,446.64 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-22 38,824.59 -0.00 36,261.00 -0.00 -0.01 151,630.00 199,800.00 134,863.33 -0.02 98,460.00 -0.00 148,851.43 135,200.00 116,330.00 36,216.00 0.16 36,892.00 225,880.00 39,978.94 0.00 186,040.00 36,667.00 80,250.00 36,486.00 36,441.29 -0.00 -0.00 -0.00 36,441.00 39,446.64 39,256.89 -0.01 39,080.99 39,171.35 36,441.00 36,712.00 -360,100.00 39,025.64 39,774.10 39,171.35 -360,100.00 -360,100.00 -360,100.00 39,329.23 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-23 38,612.69 -0.01 36,096.00 -0.00 -0.00 186,040.00 225,880.00 89,243.33 -0.00 80,250.00 -0.00 134,991.43 199,800.00 135,200.00 36,126.00 0.15 36,712.00 98,460.00 39,774.10 -0.00 116,330.00 36,441.00 89,020.00 36,441.00 36,331.86 -0.00 -0.01 -0.01 36,486.00 39,329.23 39,090.98 0.00 38,824.59 39,080.99 36,216.00 36,667.00 -360,100.00 38,839.42 39,446.64 39,171.35 -360,100.00 -360,100.00 -360,100.00 39,171.35 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-26 38,703.30 0.00 36,036.00 -0.00 -0.01 116,330.00 98,460.00 94,163.33 -0.00 89,020.00 -0.00 134,547.14 225,880.00 199,800.00 35,946.00 0.57 36,667.00 80,250.00 39,446.64 -0.01 135,200.00 36,486.00 113,220.00 36,216.00 36,241.71 -0.01 -0.00 0.00 36,441.00 39,171.35 38,984.78 -0.00 38,612.69 38,824.59 36,126.00 36,441.00 -360,100.00 38,713.53 39,329.23 39,080.99 -360,100.00 -360,100.00 -360,100.00 39,171.35 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-27 38,787.44 0.01 36,066.00 0.00 0.00 135,200.00 80,250.00 117,400.00 -0.01 113,220.00 -0.00 136,655.71 98,460.00 225,880.00 36,036.00 0.58 36,441.00 89,020.00 39,329.23 -0.00 199,800.00 36,441.00 149,960.00 36,126.00 36,209.57 0.00 -0.01 -0.00 36,216.00 39,171.35 38,907.39 -0.01 38,703.30 38,612.69 35,946.00 36,486.00 -360,100.00 38,701.14 39,171.35 38,824.59 -360,100.00 -360,100.00 -360,100.00 39,080.99 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-28 38,728.89 -0.01 36,096.00 0.00 0.01 199,800.00 89,020.00 153,290.00 0.00 149,960.00 -0.00 136,211.43 80,250.00 98,460.00 36,216.00 0.20 36,486.00 113,220.00 39,171.35 -0.01 225,880.00 36,216.00 196,690.00 35,946.00 36,145.29 -0.00 0.00 -0.01 36,126.00 39,080.99 38,844.18 -0.00 38,787.44 38,703.30 36,036.00 36,441.00 -360,100.00 38,739.88 39,171.35 38,612.69 -360,100.00 -360,100.00 -360,100.00 38,824.59 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-02-29 38,728.89 -0.00 36,081.00 -0.00 -0.01 225,880.00 113,220.00 244,200.00 -0.00 196,690.00 -0.00 159,078.57 89,020.00 80,250.00 36,036.00 0.22 36,441.00 149,960.00 39,171.35 0.00 98,460.00 36,126.00 385,950.00 36,036.00 36,081.00 -0.01 0.01 -0.00 35,946.00 38,824.59 38,780.97 -0.01 38,728.89 38,787.44 36,216.00 36,216.00 -360,100.00 38,748.41 39,080.99 38,703.30 -360,100.00 -360,100.00 -360,100.00 38,612.69 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-01 39,450.04 0.03 36,381.33 0.01 -0.00 98,460.00 149,960.00 290,636.67 -0.01 385,950.00 0.00 186,337.14 113,220.00 89,020.00 35,991.00 0.72 36,216.00 196,690.00 39,080.99 0.01 80,250.00 35,946.00 289,270.00 36,216.00 36,209.71 -0.00 -0.01 -0.01 36,036.00 38,612.69 38,833.69 0.00 38,728.89 38,728.89 36,036.00 36,126.00 -360,100.00 38,969.28 38,824.59 38,787.44 -360,100.00 -360,100.00 -360,100.00 38,703.30 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-04 39,447.13 -0.01 36,621.67 0.01 0.03 80,250.00 196,690.00 365,413.33 -0.00 289,270.00 0.00 235,018.57 149,960.00 113,220.00 37,117.00 0.27 36,126.00 385,950.00 38,824.59 -0.01 89,020.00 36,036.00 421,020.00 36,036.00 36,299.86 -0.01 -0.00 0.00 36,216.00 38,703.30 38,922.63 0.01 39,450.04 38,728.89 35,991.00 35,946.00 -360,100.00 39,208.69 38,612.69 38,728.89 -360,100.00 -360,100.00 -360,100.00 38,787.44 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-05 39,888.43 0.01 37,012.00 0.01 -0.01 89,020.00 385,950.00 460,650.00 -0.01 421,020.00 0.00 318,252.86 196,690.00 149,960.00 36,757.00 0.75 35,946.00 289,270.00 38,612.69 -0.00 113,220.00 36,216.00 671,660.00 35,991.00 36,473.57 0.00 0.03 0.01 36,036.00 38,787.44 39,104.88 -0.01 39,447.13 39,450.04 37,117.00 36,036.00 -360,100.00 39,595.20 38,703.30 38,728.89 -360,100.00 -360,100.00 -360,100.00 38,728.89 -360,100.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-06 39,872.25 -0.01 36,952.00 -0.00 0.01 113,220.00 289,270.00 393,013.33 0.00 671,660.00 0.00 314,415.71 385,950.00 196,690.00 37,162.00 0.20 36,036.00 421,020.00 38,703.30 0.03 149,960.00 36,036.00 86,360.00 37,117.00 36,602.29 0.01 -0.01 -0.01 35,991.00 38,728.89 39,271.87 -0.00 39,888.43 39,447.13 36,757.00 36,216.00 -411,600.00 39,735.94 38,787.44 39,450.04 -360,100.00 -360,100.00 -480,266.67 38,728.89 -720,600.00 -360,100.00 -360,100.00 -360,100.00 1.00 -360,100.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-07 39,377.44 -0.02 36,816.67 -0.00 -0.01 149,960.00 421,020.00 294,963.33 0.01 86,360.00 0.00 311,117.14 289,270.00 385,950.00 36,937.00 0.16 36,216.00 671,660.00 38,787.44 -0.01 196,690.00 35,991.00 126,870.00 36,757.00 36,621.57 -0.01 0.01 -0.00 37,117.00 38,728.89 39,356.16 0.03 39,872.25 39,888.43 37,162.00 36,036.00 -463,100.00 39,712.71 38,728.89 39,447.13 -360,100.00 -360,100.00 -600,433.33 39,450.04 -720,600.00 -360,100.00 -360,100.00 -360,100.00 1.00 -720,600.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-08 38,847.31 -0.01 36,381.33 -0.01 -0.02 196,690.00 671,660.00 139,490.00 -0.01 126,870.00 -0.00 312,338.57 421,020.00 289,270.00 36,351.00 0.17 36,036.00 86,360.00 38,728.89 0.01 385,950.00 37,117.00 205,240.00 37,162.00 36,595.86 -0.00 -0.01 0.03 36,757.00 39,450.04 39,373.07 -0.01 39,377.44 39,872.25 36,937.00 35,991.00 -514,600.00 39,365.67 38,728.89 39,888.43 -360,100.00 -360,100.00 -720,600.00 39,447.13 -720,600.00 -360,100.00 -720,600.00 -360,100.00 1.00 -720,600.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-11 38,265.33 -0.02 35,840.67 -0.01 -0.01 385,950.00 86,360.00 282,310.00 -0.00 205,240.00 -0.00 330,748.57 671,660.00 421,020.00 35,856.00 0.21 35,991.00 126,870.00 38,728.89 -0.01 289,270.00 36,757.00 514,820.00 36,937.00 36,499.29 0.03 -0.02 -0.01 37,162.00 39,447.13 39,306.85 0.01 38,847.31 39,377.44 36,351.00 37,117.00 -566,100.00 38,830.03 39,450.04 39,872.25 -360,100.00 -720,600.00 -720,600.00 39,888.43 -720,600.00 -360,100.00 -720,600.00 -360,100.00 1.00 -720,600.00 1.00 1.00 1.00 -360,100.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-12 38,970.11 0.04 35,916.00 0.00 -0.02 289,270.00 126,870.00 435,676.67 0.03 514,820.00 -0.00 373,277.14 86,360.00 671,660.00 35,315.00 0.76 37,117.00 205,240.00 39,450.04 -0.02 421,020.00 37,162.00 586,970.00 36,351.00 36,422.14 -0.01 -0.01 0.01 36,937.00 39,888.43 39,238.29 -0.01 38,265.33 38,847.31 35,856.00 36,757.00 -617,600.00 38,694.25 39,447.13 39,377.44 -360,100.00 -720,600.00 -720,600.00 39,872.25 -720,600.00 -360,100.00 -720,600.00 -360,100.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-13 39,758.31 0.03 36,561.67 0.02 0.04 421,020.00 205,240.00 510,266.67 -0.01 586,970.00 0.00 374,418.57 126,870.00 86,360.00 36,577.00 0.79 36,757.00 514,820.00 39,447.13 -0.01 671,660.00 36,937.00 429,010.00 35,856.00 36,570.14 0.01 -0.02 -0.01 36,351.00 39,872.25 39,282.74 -0.02 38,970.11 38,265.33 35,315.00 37,162.00 -669,100.00 38,997.92 39,888.43 38,847.31 -360,100.00 -720,600.00 -720,600.00 39,377.44 -720,600.00 -360,100.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-14 39,995.17 -0.01 37,297.67 0.02 0.03 671,660.00 514,820.00 430,160.00 0.01 429,010.00 0.00 317,681.43 205,240.00 126,870.00 37,793.00 0.28 37,162.00 586,970.00 39,888.43 -0.02 86,360.00 36,351.00 274,500.00 35,315.00 36,621.71 -0.01 0.04 -0.02 35,856.00 39,377.44 39,297.99 -0.01 39,758.31 38,970.11 36,577.00 36,937.00 -720,600.00 39,574.53 39,872.25 38,265.33 -360,100.00 -720,600.00 -720,600.00 38,847.31 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-15 40,196.81 -0.00 37,567.67 0.01 -0.01 86,360.00 586,970.00 315,866.67 -0.01 274,500.00 0.00 340,214.29 514,820.00 205,240.00 37,523.00 0.28 36,937.00 429,010.00 39,872.25 0.04 126,870.00 35,856.00 244,090.00 36,577.00 36,686.00 -0.02 0.03 -0.01 35,315.00 38,847.31 39,344.35 -0.02 39,995.17 39,758.31 37,793.00 36,351.00 -720,600.00 39,983.43 39,377.44 38,970.11 -720,600.00 -720,600.00 -720,600.00 38,265.33 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-18 39,767.42 -0.01 37,267.33 -0.01 -0.00 126,870.00 429,010.00 248,823.33 -0.02 244,090.00 0.00 354,644.29 586,970.00 514,820.00 37,387.00 0.18 36,351.00 274,500.00 39,377.44 0.03 205,240.00 35,315.00 227,880.00 37,793.00 36,763.29 -0.01 -0.01 -0.02 36,577.00 38,265.33 39,400.07 0.04 40,196.81 39,995.17 37,523.00 35,856.00 -720,600.00 39,986.47 38,847.31 39,758.31 -720,600.00 -720,600.00 -720,600.00 38,970.11 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-19 38,945.62 -0.03 36,681.67 -0.02 -0.01 205,240.00 274,500.00 226,773.33 -0.01 227,880.00 -0.00 355,088.57 429,010.00 586,970.00 36,892.00 0.20 35,856.00 244,090.00 38,847.31 -0.01 514,820.00 36,577.00 208,350.00 37,523.00 36,750.43 -0.02 -0.00 0.04 37,793.00 38,970.11 39,414.11 0.03 39,767.42 40,196.81 37,387.00 35,315.00 -720,600.00 39,636.62 38,265.33 39,995.17 -720,600.00 -720,600.00 -720,600.00 39,758.31 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-20 38,788.20 0.01 36,246.33 -0.01 -0.03 514,820.00 244,090.00 196,950.00 -0.02 208,350.00 0.00 303,631.43 274,500.00 429,010.00 35,766.00 0.69 35,315.00 227,880.00 38,265.33 -0.00 586,970.00 37,793.00 154,620.00 37,387.00 36,859.86 0.04 -0.01 0.03 37,523.00 39,758.31 39,488.80 -0.01 38,945.62 39,767.42 36,892.00 36,577.00 -720,600.00 39,167.08 38,970.11 40,196.81 -720,600.00 -720,600.00 -720,600.00 39,995.17 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-21 38,491.28 -0.01 35,901.00 -0.01 0.01 586,970.00 227,880.00 524,323.33 0.04 154,620.00 -0.00 392,635.71 244,090.00 274,500.00 36,081.00 0.24 36,577.00 208,350.00 38,970.11 -0.01 429,010.00 37,523.00 1,210,000.00 36,892.00 36,756.86 0.03 -0.03 -0.01 37,387.00 39,995.17 39,420.40 -0.00 38,788.20 38,945.62 35,766.00 37,793.00 -720,600.00 38,741.70 39,758.31 39,767.42 -720,600.00 -720,600.00 -720,600.00 40,196.81 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-22 38,785.82 0.01 35,991.00 0.00 -0.01 429,010.00 208,350.00 563,060.00 0.03 1,210,000.00 -0.01 377,714.29 227,880.00 244,090.00 35,856.00 0.77 37,793.00 154,620.00 39,758.31 -0.03 274,500.00 37,387.00 324,560.00 35,766.00 36,505.86 -0.01 0.01 -0.00 36,892.00 40,196.81 39,281.47 -0.01 38,491.28 38,788.20 36,081.00 37,523.00 -720,600.00 38,688.43 39,995.17 38,945.62 -720,600.00 -720,600.00 -720,600.00 39,767.42 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-25 38,713.03 -0.02 35,765.67 -0.01 0.01 274,500.00 154,620.00 552,886.67 -0.01 324,560.00 -0.01 356,228.57 208,350.00 227,880.00 36,036.00 0.21 37,523.00 1,210,000.00 39,995.17 0.01 244,090.00 36,892.00 124,100.00 36,081.00 36,203.29 -0.00 -0.01 -0.01 35,766.00 39,767.42 39,098.31 -0.03 38,785.82 38,491.28 35,856.00 37,387.00 -720,600.00 38,663.38 40,196.81 38,788.20 -720,600.00 -720,600.00 -720,600.00 38,945.62 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-26 38,783.49 0.02 35,870.67 0.00 -0.02 244,090.00 1,210,000.00 536,220.00 -0.00 124,100.00 -0.00 487,072.86 154,620.00 208,350.00 35,405.00 0.77 37,387.00 324,560.00 40,196.81 -0.01 227,880.00 35,766.00 1,160,000.00 35,856.00 36,029.57 -0.01 0.01 -0.03 36,081.00 38,945.62 38,896.41 0.01 38,713.03 38,785.82 36,036.00 36,892.00 -720,600.00 38,760.78 39,767.42 38,491.28 -720,600.00 -720,600.00 -720,600.00 38,788.20 -720,600.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-27 38,719.68 0.00 35,915.67 0.00 0.02 227,880.00 324,560.00 490,860.00 -0.01 1,160,000.00 -0.00 481,444.29 1,210,000.00 154,620.00 36,171.00 0.25 36,892.00 124,100.00 39,767.42 0.01 208,350.00 36,081.00 188,480.00 36,036.00 35,926.57 -0.03 -0.02 0.01 35,856.00 38,788.20 38,746.73 -0.01 38,783.49 38,713.03 35,405.00 35,766.00 -616,228.57 38,738.73 38,945.62 38,785.82 -720,600.00 -720,600.00 -477,066.67 38,491.28 10,000.00 -720,600.00 -720,600.00 -720,600.00 1.00 -720,600.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-28 38,941.67 0.01 36,261.00 0.01 0.00 208,350.00 124,100.00 521,753.33 -0.03 188,480.00 0.00 482,648.57 324,560.00 1,210,000.00 36,171.00 0.77 35,766.00 1,160,000.00 38,945.62 -0.02 154,620.00 35,856.00 216,780.00 35,405.00 36,023.00 0.01 0.02 -0.01 36,036.00 38,491.28 38,746.17 0.01 38,719.68 38,783.49 36,171.00 36,081.00 -511,857.14 38,814.95 38,788.20 38,713.03 -720,600.00 -720,600.00 -233,533.33 38,785.82 10,000.00 -720,600.00 -720,600.00 -720,600.00 1.00 10,000.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-03-29 38,741.34 -0.01 36,201.00 -0.00 0.01 154,620.00 1,160,000.00 184,630.00 0.01 216,780.00 -0.00 481,792.86 124,100.00 324,560.00 36,441.00 0.24 36,081.00 188,480.00 38,788.20 0.02 1,210,000.00 36,036.00 148,630.00 36,171.00 36,010.14 -0.01 0.00 0.01 35,405.00 38,785.82 38,739.47 -0.02 38,941.67 38,719.68 36,171.00 35,856.00 -407,485.71 38,800.90 38,491.28 38,783.49 -720,600.00 -720,600.00 10,000.00 38,713.03 10,000.00 -720,600.00 10,000.00 -720,600.00 1.00 10,000.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-01 38,592.90 0.01 36,216.00 0.00 -0.01 1,210,000.00 188,480.00 245,790.00 -0.01 148,630.00 0.00 362,072.86 1,160,000.00 124,100.00 35,991.00 0.74 35,856.00 216,780.00 38,491.28 0.00 324,560.00 35,405.00 371,960.00 36,171.00 36,061.57 0.01 0.01 -0.02 36,171.00 38,713.03 38,753.99 0.02 38,741.34 38,941.67 36,441.00 36,036.00 -303,114.29 38,758.64 38,785.82 38,719.68 -720,600.00 10,000.00 10,000.00 38,783.49 10,000.00 -720,600.00 10,000.00 -720,600.00 1.00 10,000.00 1.00 1.00 1.00 -720,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-02 38,741.34 -0.00 36,126.00 -0.00 0.01 324,560.00 216,780.00 253,413.33 0.01 371,960.00 0.00 349,942.86 188,480.00 1,160,000.00 36,216.00 0.24 36,036.00 148,630.00 38,785.82 0.01 124,100.00 36,171.00 239,650.00 36,441.00 36,080.86 -0.02 -0.01 0.02 36,171.00 38,783.49 38,747.64 0.00 38,592.90 38,741.34 35,991.00 35,405.00 -198,742.86 38,691.86 38,713.03 38,941.67 -720,600.00 10,000.00 10,000.00 38,719.68 10,000.00 -720,600.00 10,000.00 -720,600.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-03 39,991.46 0.07 37,027.00 0.02 -0.00 124,100.00 148,630.00 570,536.67 -0.02 239,650.00 0.01 489,357.14 216,780.00 188,480.00 36,171.00 0.80 35,405.00 371,960.00 38,713.03 -0.01 1,160,000.00 36,171.00 1,100,000.00 35,991.00 36,550.71 0.02 0.01 0.00 36,441.00 38,719.68 38,930.27 0.01 38,741.34 38,592.90 36,216.00 36,171.00 -94,371.43 39,108.57 38,783.49 38,741.34 -720,600.00 10,000.00 10,000.00 38,941.67 10,000.00 -720,600.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-04 40,471.24 0.07 38,753.67 0.05 0.07 1,160,000.00 371,960.00 1,169,883.33 0.02 1,100,000.00 0.02 633,642.86 148,630.00 216,780.00 38,694.00 0.78 36,171.00 239,650.00 38,783.49 0.01 188,480.00 36,441.00 2,170,000.00 36,216.00 37,297.14 0.00 -0.00 0.01 35,991.00 38,941.67 39,171.38 -0.01 39,991.46 38,741.34 36,171.00 36,171.00 10,000.00 39,734.68 38,719.68 38,592.90 -720,600.00 10,000.00 10,000.00 38,741.34 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-05 40,562.83 0.03 40,901.00 0.06 0.07 188,480.00 239,650.00 1,405,203.33 0.00 2,170,000.00 0.02 741,804.29 371,960.00 148,630.00 41,396.00 0.75 36,171.00 1,100,000.00 38,719.68 -0.00 216,780.00 35,991.00 945,610.00 36,171.00 38,217.43 0.01 0.07 -0.01 36,216.00 38,741.34 39,434.68 0.01 40,471.24 39,991.46 38,694.00 36,441.00 10,000.00 40,341.84 38,941.67 38,741.34 10,000.00 10,000.00 10,000.00 38,592.90 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-08 40,394.86 -0.05 41,531.67 0.02 0.03 216,780.00 1,100,000.00 1,445,203.33 0.01 945,610.00 0.02 885,121.43 239,650.00 371,960.00 42,613.00 0.31 36,441.00 2,170,000.00 38,941.67 0.07 148,630.00 36,216.00 1,220,000.00 38,694.00 38,809.57 -0.01 0.07 0.01 36,171.00 38,592.90 39,642.28 -0.00 40,562.83 40,471.24 41,396.00 35,991.00 10,000.00 40,476.31 38,741.34 39,991.46 10,000.00 10,000.00 10,000.00 38,741.34 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-09 43,055.33 0.07 42,147.33 0.02 -0.05 148,630.00 2,170,000.00 936,766.67 -0.01 1,220,000.00 0.03 955,987.14 1,100,000.00 239,650.00 40,586.00 0.77 35,991.00 945,610.00 38,741.34 0.07 371,960.00 36,171.00 644,690.00 41,396.00 39,845.57 0.01 0.03 -0.00 38,694.00 38,741.34 40,258.57 0.07 40,394.86 40,562.83 42,613.00 36,216.00 10,000.00 41,337.67 38,592.90 40,471.24 10,000.00 10,000.00 10,000.00 39,991.46 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-10 43,495.21 0.02 42,627.67 0.01 0.07 371,960.00 945,610.00 888,110.00 0.01 644,690.00 0.03 1,017,084.29 2,170,000.00 1,100,000.00 43,243.00 0.74 36,216.00 1,220,000.00 38,592.90 0.03 239,650.00 38,694.00 799,640.00 42,613.00 40,965.29 -0.00 -0.05 0.07 41,396.00 39,991.46 40,958.90 0.07 43,055.33 40,394.86 40,586.00 36,171.00 10,000.00 42,315.13 38,741.34 40,562.83 10,000.00 10,000.00 10,000.00 40,471.24 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-11 43,443.47 -0.02 43,543.33 0.02 0.02 239,650.00 1,220,000.00 605,060.00 -0.00 799,640.00 0.03 1,035,827.14 945,610.00 2,170,000.00 44,054.00 0.29 36,171.00 644,690.00 38,741.34 -0.05 1,100,000.00 41,396.00 370,850.00 40,586.00 41,988.43 0.07 0.07 0.07 42,613.00 40,471.24 41,630.63 0.03 43,495.21 43,055.33 43,243.00 38,694.00 10,000.00 43,331.34 39,991.46 40,394.86 10,000.00 10,000.00 10,000.00 40,562.83 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-12 44,729.66 0.02 43,933.67 0.01 -0.02 1,100,000.00 644,690.00 612,200.00 0.07 370,850.00 0.02 973,842.86 1,220,000.00 945,610.00 43,333.00 0.76 38,694.00 799,640.00 39,991.46 0.07 2,170,000.00 42,613.00 666,110.00 43,243.00 42,805.57 0.07 0.02 0.03 40,586.00 40,562.83 42,307.51 -0.05 43,443.47 43,495.21 44,054.00 41,396.00 10,000.00 43,889.44 40,471.24 43,055.33 10,000.00 10,000.00 10,000.00 40,394.86 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-15 42,341.06 -0.07 43,017.67 -0.02 0.02 2,170,000.00 799,640.00 792,320.00 0.07 666,110.00 0.00 855,271.43 644,690.00 1,220,000.00 44,414.00 0.22 41,396.00 370,850.00 40,471.24 0.02 945,610.00 40,586.00 1,340,000.00 44,054.00 42,792.71 0.03 -0.02 -0.05 43,243.00 40,394.86 42,574.63 0.07 44,729.66 43,443.47 43,333.00 42,613.00 10,000.00 43,504.73 40,562.83 43,495.21 10,000.00 10,000.00 10,000.00 43,055.33 10,000.00 10,000.00 10,000.00 10,000.00 1.00 10,000.00 1.00 1.00 1.00 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-16 41,705.66 0.00 42,342.00 -0.02 -0.07 945,610.00 370,850.00 988,900.00 0.03 1,340,000.00 -0.00 857,411.43 799,640.00 644,690.00 41,306.00 0.16 42,613.00 666,110.00 40,562.83 -0.02 1,220,000.00 43,243.00 960,590.00 43,333.00 42,606.00 -0.05 0.02 0.07 44,054.00 43,055.33 42,737.89 0.02 42,341.06 44,729.66 44,414.00 40,586.00 -58,485.71 42,925.46 40,394.86 43,443.47 10,000.00 10,000.00 -149,800.00 43,495.21 -469,400.00 10,000.00 10,000.00 10,000.00 1.33 10,000.00 1.00 1.00 1.14 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-17 39,431.31 -0.04 40,795.67 -0.04 0.00 1,220,000.00 666,110.00 1,019,756.67 -0.05 960,590.00 -0.00 791,508.57 370,850.00 799,640.00 41,306.00 0.19 40,586.00 1,340,000.00 40,394.86 0.02 644,690.00 44,054.00 758,680.00 44,414.00 42,490.14 0.07 -0.07 0.02 43,333.00 43,495.21 42,600.24 -0.02 41,705.66 42,341.06 41,306.00 43,243.00 -126,971.43 41,159.34 43,055.33 44,729.66 10,000.00 10,000.00 -309,600.00 43,443.47 -469,400.00 10,000.00 10,000.00 10,000.00 1.67 -469,400.00 1.00 1.00 1.29 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-19 39,022.60 -0.06 39,504.33 -0.03 -0.04 644,690.00 1,340,000.00 1,209,756.67 0.07 758,680.00 -0.02 972,267.14 666,110.00 370,850.00 39,775.00 0.20 43,243.00 960,590.00 43,055.33 -0.07 799,640.00 43,333.00 1,910,000.00 41,306.00 41,660.00 0.02 0.00 -0.02 44,414.00 43,443.47 42,024.14 0.02 39,431.31 41,705.66 41,306.00 44,054.00 -195,457.14 40,053.19 43,495.21 42,341.06 10,000.00 10,000.00 -469,400.00 44,729.66 -469,400.00 10,000.00 -469,400.00 10,000.00 2.00 -469,400.00 1.00 1.00 1.43 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-22 39,490.46 0.02 38,453.33 -0.03 -0.06 799,640.00 960,590.00 986,683.33 0.02 1,910,000.00 -0.02 899,657.14 1,340,000.00 666,110.00 37,432.00 0.68 44,054.00 758,680.00 43,495.21 0.00 370,850.00 44,414.00 291,370.00 41,306.00 40,817.00 -0.02 -0.04 0.02 41,306.00 44,729.66 41,452.03 -0.07 39,022.60 39,431.31 39,775.00 43,333.00 -263,942.86 39,314.79 43,443.47 41,705.66 10,000.00 -469,400.00 -469,400.00 42,341.06 -469,400.00 10,000.00 -469,400.00 10,000.00 2.00 -469,400.00 1.00 1.00 1.57 10,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-23 39,720.31 0.01 38,048.00 -0.01 0.02 370,850.00 758,680.00 1,490,456.67 -0.02 291,370.00 -0.02 1,170,964.29 960,590.00 1,340,000.00 38,153.00 0.76 43,333.00 1,910,000.00 43,443.47 -0.04 666,110.00 41,306.00 2,270,000.00 39,775.00 40,135.00 0.02 -0.06 -0.07 41,306.00 42,341.06 40,920.15 0.00 39,490.46 39,022.60 37,432.00 44,414.00 -332,428.57 39,411.12 44,729.66 39,431.31 10,000.00 -469,400.00 -469,400.00 41,705.66 -469,400.00 10,000.00 -469,400.00 10,000.00 2.00 -469,400.00 1.00 1.00 1.71 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-24 40,027.78 0.06 39,174.33 0.03 0.01 666,110.00 1,910,000.00 1,129,033.33 0.02 2,270,000.00 -0.01 1,193,767.14 758,680.00 960,590.00 38,559.00 0.76 44,414.00 291,370.00 44,729.66 -0.06 1,340,000.00 41,306.00 825,730.00 37,432.00 39,620.29 -0.07 0.02 0.00 39,775.00 41,705.66 40,248.45 -0.04 39,720.31 39,490.46 38,153.00 41,306.00 -400,914.29 39,746.18 42,341.06 39,022.60 10,000.00 -469,400.00 -469,400.00 39,431.31 -469,400.00 10,000.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 1.86 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-25 40,833.26 -0.02 39,850.00 0.02 0.06 1,340,000.00 291,370.00 1,505,243.33 -0.07 825,730.00 -0.00 1,205,195.71 1,910,000.00 758,680.00 40,811.00 0.33 41,306.00 2,270,000.00 42,341.06 0.02 960,590.00 39,775.00 1,420,000.00 38,153.00 39,459.43 0.00 0.01 -0.04 37,432.00 39,431.31 40,033.05 -0.06 40,027.78 39,720.31 38,559.00 41,306.00 -469,400.00 40,193.78 41,705.66 39,490.46 10,000.00 -469,400.00 -469,400.00 39,022.60 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-04-26 40,443.97 0.00 40,405.33 0.01 -0.02 960,590.00 2,270,000.00 934,650.00 0.00 1,420,000.00 -0.00 1,147,714.29 291,370.00 1,910,000.00 40,180.00 0.81 41,306.00 825,730.00 41,705.66 0.01 758,680.00 37,432.00 558,220.00 38,559.00 39,305.00 -0.04 0.06 -0.06 38,153.00 39,022.60 39,852.81 0.02 40,833.26 40,027.78 40,811.00 39,775.00 -469,400.00 40,435.00 39,431.31 39,720.31 -469,400.00 -469,400.00 -469,400.00 39,490.46 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-02 41,038.13 0.03 40,660.67 0.01 0.00 758,680.00 825,730.00 1,079,406.67 -0.04 558,220.00 0.01 1,219,331.43 2,270,000.00 291,370.00 40,225.00 0.83 39,775.00 1,420,000.00 39,431.31 0.06 1,910,000.00 38,153.00 1,260,000.00 40,811.00 39,562.43 -0.06 -0.02 0.02 38,559.00 39,490.46 40,082.36 0.01 40,443.97 40,833.26 40,180.00 37,432.00 -469,400.00 40,771.79 39,022.60 40,027.78 -469,400.00 -469,400.00 -469,400.00 39,720.31 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-03 40,640.49 -0.02 40,811.00 0.00 0.03 1,910,000.00 1,420,000.00 959,406.67 -0.06 1,260,000.00 0.01 1,097,902.86 825,730.00 2,270,000.00 41,577.00 0.36 37,432.00 558,220.00 39,022.60 -0.02 291,370.00 38,559.00 1,060,000.00 40,180.00 40,019.43 0.02 0.00 0.01 40,811.00 39,720.31 40,313.48 0.06 41,038.13 40,443.97 40,225.00 38,153.00 -469,400.00 40,707.53 39,490.46 40,833.26 -469,400.00 -469,400.00 -469,400.00 40,027.78 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-06 41,121.04 0.04 41,471.67 0.02 -0.02 291,370.00 558,220.00 1,253,333.33 0.02 1,060,000.00 0.01 1,261,992.86 1,420,000.00 825,730.00 40,631.00 0.87 38,153.00 1,260,000.00 39,490.46 0.00 2,270,000.00 40,811.00 1,440,000.00 40,225.00 40,598.57 0.01 0.03 0.06 40,180.00 40,027.78 40,546.42 -0.02 40,640.49 41,038.13 41,577.00 38,559.00 -469,400.00 40,933.22 39,720.31 40,443.97 -469,400.00 -469,400.00 -469,400.00 40,833.26 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-07 43,362.90 0.03 42,162.33 0.02 0.04 2,270,000.00 1,260,000.00 1,186,666.67 0.01 1,440,000.00 0.02 1,089,135.71 558,220.00 1,420,000.00 42,207.00 0.83 38,559.00 1,060,000.00 39,720.31 0.03 825,730.00 40,180.00 1,060,000.00 41,577.00 41,325.71 0.06 -0.02 -0.02 40,225.00 40,833.26 41,066.80 0.00 41,121.04 40,640.49 40,631.00 40,811.00 -469,400.00 41,708.14 40,027.78 41,038.13 -469,400.00 -469,400.00 -469,400.00 40,443.97 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-08 44,528.63 0.07 44,174.33 0.05 0.03 825,730.00 1,060,000.00 1,203,333.33 0.06 1,060,000.00 0.02 1,129,745.71 1,260,000.00 558,220.00 43,649.00 0.82 40,811.00 1,440,000.00 40,027.78 -0.02 1,420,000.00 40,225.00 1,110,000.00 40,631.00 42,162.29 -0.02 0.04 0.00 41,577.00 40,443.97 41,709.77 0.03 43,362.90 41,121.04 42,207.00 40,180.00 -469,400.00 43,004.19 40,833.26 40,640.49 -469,400.00 -469,400.00 -469,400.00 41,038.13 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-09 46,406.56 0.07 46,742.00 0.06 0.07 1,420,000.00 1,440,000.00 1,223,333.33 -0.02 1,110,000.00 0.03 1,141,174.29 1,060,000.00 1,260,000.00 46,667.00 0.85 40,180.00 1,060,000.00 40,833.26 0.04 558,220.00 41,577.00 1,500,000.00 42,207.00 43,552.29 0.00 0.03 0.03 40,631.00 41,038.13 42,505.96 -0.02 44,528.63 43,362.90 43,649.00 40,225.00 -469,400.00 44,766.03 40,443.97 41,121.04 -469,400.00 -469,400.00 -469,400.00 40,640.49 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-10 48,990.26 0.06 49,880.00 0.07 0.07 558,220.00 1,060,000.00 1,980,000.00 0.00 1,500,000.00 0.04 1,537,142.86 1,440,000.00 1,060,000.00 49,910.00 0.82 40,225.00 1,110,000.00 40,443.97 0.03 1,260,000.00 40,631.00 3,330,000.00 43,649.00 45,386.29 0.03 0.07 -0.02 42,207.00 40,640.49 43,726.86 0.04 46,406.56 44,528.63 46,667.00 41,577.00 -469,400.00 46,641.82 41,038.13 43,362.90 -469,400.00 -469,400.00 -469,400.00 41,121.04 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-13 51,189.95 -0.01 51,862.00 0.04 0.06 1,260,000.00 1,110,000.00 2,150,000.00 0.03 3,330,000.00 0.03 1,588,571.43 1,060,000.00 1,440,000.00 53,063.00 0.38 41,577.00 1,500,000.00 41,038.13 0.07 1,060,000.00 42,207.00 1,620,000.00 46,667.00 46,962.86 -0.02 0.07 0.04 43,649.00 41,121.04 45,177.12 0.03 48,990.26 46,406.56 49,910.00 40,631.00 -469,400.00 48,862.26 40,640.49 44,528.63 -469,400.00 -469,400.00 -469,400.00 43,362.90 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-14 52,556.83 0.07 53,964.00 0.04 -0.01 1,060,000.00 1,500,000.00 2,193,333.33 -0.02 1,620,000.00 0.05 1,670,000.00 1,110,000.00 1,060,000.00 52,613.00 0.80 40,631.00 3,330,000.00 40,640.49 0.07 1,440,000.00 43,649.00 1,630,000.00 49,910.00 49,189.29 0.04 0.06 0.03 46,667.00 43,362.90 46,879.45 0.07 51,189.95 48,990.26 53,063.00 42,207.00 -469,400.00 50,912.35 41,121.04 46,406.56 -469,400.00 -469,400.00 -469,400.00 44,528.63 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-15 55,393.75 0.01 55,195.33 0.02 0.07 1,440,000.00 3,330,000.00 1,806,666.67 0.04 1,630,000.00 0.04 1,774,285.71 1,500,000.00 1,110,000.00 56,216.00 0.81 42,207.00 1,620,000.00 41,121.04 0.06 1,060,000.00 46,667.00 2,170,000.00 53,063.00 51,267.86 0.03 -0.01 0.07 49,910.00 44,528.63 48,918.41 0.07 52,556.83 51,189.95 52,613.00 43,649.00 -469,400.00 53,046.84 43,362.90 48,990.26 -469,400.00 -469,400.00 -469,400.00 46,406.56 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-16 54,647.34 -0.04 55,856.00 0.01 0.01 1,060,000.00 1,620,000.00 2,556,666.67 0.03 2,170,000.00 0.03 2,175,714.29 3,330,000.00 1,500,000.00 56,757.00 0.29 43,649.00 1,630,000.00 43,362.90 -0.01 1,110,000.00 49,910.00 3,870,000.00 52,613.00 52,831.57 0.07 0.07 0.07 53,063.00 46,406.56 50,530.47 0.06 55,393.75 52,556.83 56,216.00 46,667.00 -469,400.00 54,199.31 44,528.63 51,189.95 -469,400.00 -469,400.00 -469,400.00 48,990.26 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-17 55,041.68 0.01 55,525.67 -0.01 -0.04 1,110,000.00 1,630,000.00 3,066,666.67 0.07 3,870,000.00 0.03 2,468,571.43 1,620,000.00 3,330,000.00 54,595.00 0.75 46,667.00 2,170,000.00 44,528.63 0.07 1,500,000.00 53,063.00 3,160,000.00 56,216.00 54,054.14 0.07 0.01 0.06 52,613.00 48,990.26 52,032.34 -0.01 54,647.34 55,393.75 56,757.00 49,910.00 -469,400.00 55,027.59 46,406.56 52,556.83 -469,400.00 -469,400.00 -469,400.00 51,189.95 -469,400.00 -469,400.00 -469,400.00 -469,400.00 2.00 -469,400.00 1.00 2.00 2.00 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 2.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-20 53,486.14 -0.04 54,324.33 -0.02 0.01 1,500,000.00 2,170,000.00 3,810,000.00 0.07 3,160,000.00 0.01 2,882,857.14 1,630,000.00 1,620,000.00 55,225.00 0.25 49,910.00 3,870,000.00 46,406.56 0.01 3,330,000.00 52,613.00 4,400,000.00 56,757.00 54,517.43 0.06 -0.04 -0.01 56,216.00 51,189.95 53,043.71 0.07 55,041.68 54,647.34 54,595.00 53,063.00 -442,424.86 54,391.72 48,990.26 55,393.75 -469,400.00 -469,400.00 -406,458.00 52,556.83 -280,574.00 -469,400.00 -469,400.00 -469,400.00 3.33 -469,400.00 1.00 2.00 2.57 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 2.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 6.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-21 54,870.17 0.04 54,594.33 0.01 -0.04 3,330,000.00 3,870,000.00 3,246,666.67 0.06 4,400,000.00 0.01 2,718,571.43 2,170,000.00 1,630,000.00 53,153.00 0.79 53,063.00 3,160,000.00 48,990.26 -0.04 1,620,000.00 56,216.00 2,180,000.00 54,595.00 54,852.00 -0.01 0.01 0.07 56,757.00 52,556.83 53,883.69 0.01 53,486.14 55,041.68 55,225.00 52,613.00 -371,996.29 54,466.00 51,189.95 54,647.34 -469,400.00 -469,400.00 -242,124.67 55,393.75 23,600.00 -469,400.00 -469,400.00 -469,400.00 3.00 -280,574.00 1.00 2.00 2.43 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 6.00 2.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-22 53,806.43 -0.00 54,564.33 0.00 0.04 1,620,000.00 3,160,000.00 2,780,000.00 -0.01 2,180,000.00 0.01 2,738,571.43 3,870,000.00 2,170,000.00 55,405.00 0.24 52,613.00 4,400,000.00 51,189.95 0.01 1,630,000.00 56,757.00 1,760,000.00 55,225.00 55,212.29 0.07 -0.04 0.01 54,595.00 55,393.75 54,257.48 -0.04 54,870.17 53,486.14 53,153.00 56,216.00 -376,367.71 54,054.25 52,556.83 55,041.68 -469,400.00 -469,400.00 -252,324.67 54,647.34 -500,000.00 -469,400.00 -280,574.00 -469,400.00 2.67 23,600.00 1.00 2.00 2.29 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 6.00 2.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-23 54,483.60 0.04 55,945.67 0.03 -0.00 1,630,000.00 4,400,000.00 2,446,666.67 0.07 1,760,000.00 0.00 2,991,428.57 3,160,000.00 3,870,000.00 55,135.00 0.78 56,216.00 2,180,000.00 52,556.83 -0.04 2,170,000.00 54,595.00 3,400,000.00 53,153.00 55,366.71 0.01 0.04 -0.04 55,225.00 54,647.34 54,532.73 0.01 53,806.43 54,870.17 55,405.00 56,757.00 -380,739.14 54,386.73 55,393.75 53,486.14 -469,400.00 -280,574.00 -325,466.67 55,041.68 -500,000.00 -469,400.00 23,600.00 -469,400.00 1.00 -500,000.00 1.00 2.00 2.14 -469,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 6.00 2.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-24 53,541.52 -0.06 55,405.33 -0.01 0.04 2,170,000.00 2,180,000.00 2,696,666.67 0.01 3,400,000.00 -0.01 3,100,000.00 4,400,000.00 3,160,000.00 57,297.00 0.18 56,757.00 1,760,000.00 55,393.75 0.04 3,870,000.00 55,225.00 2,930,000.00 55,405.00 54,942.00 -0.04 -0.00 0.01 53,153.00 55,041.68 54,268.12 -0.04 54,483.60 53,806.43 55,135.00 54,595.00 -385,110.57 53,943.85 54,647.34 54,870.17 -469,400.00 23,600.00 -500,000.00 53,486.14 -500,000.00 -469,400.00 -500,000.00 -469,400.00 1.00 -500,000.00 1.00 2.00 2.00 -280,574.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-27 53,403.75 -0.01 54,744.67 -0.01 -0.06 3,870,000.00 1,760,000.00 2,946,666.67 -0.04 2,930,000.00 -0.00 2,905,714.29 2,180,000.00 4,400,000.00 53,784.00 0.21 54,595.00 3,400,000.00 54,647.34 -0.00 3,160,000.00 53,153.00 2,510,000.00 55,135.00 54,736.00 0.01 0.04 -0.04 55,405.00 53,486.14 54,090.47 0.04 53,541.52 54,483.60 57,297.00 55,225.00 -389,482.00 53,809.62 55,041.68 53,806.43 -469,400.00 -500,000.00 -500,000.00 54,870.17 -500,000.00 -469,400.00 -500,000.00 -280,574.00 1.00 -500,000.00 1.00 6.00 1.86 23,600.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-28 53,281.73 0.05 54,294.33 -0.01 -0.01 3,160,000.00 3,400,000.00 2,360,000.00 0.01 2,510,000.00 0.00 2,688,571.43 1,760,000.00 2,180,000.00 53,153.00 0.74 55,225.00 2,930,000.00 55,041.68 0.04 4,400,000.00 55,405.00 1,640,000.00 57,297.00 54,839.00 -0.04 -0.06 0.04 55,135.00 54,870.17 53,839.05 -0.00 53,403.75 53,541.52 53,784.00 53,153.00 -393,853.43 53,409.00 53,486.14 54,483.60 -469,400.00 -500,000.00 -500,000.00 53,806.43 -500,000.00 -280,574.00 -500,000.00 23,600.00 1.00 -500,000.00 1.00 1.00 1.71 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 6.00 2.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-29 53,045.56 -0.03 54,384.33 0.00 0.05 4,400,000.00 2,930,000.00 2,266,666.67 -0.04 1,640,000.00 0.00 2,438,571.43 3,400,000.00 1,760,000.00 55,946.00 0.25 53,153.00 2,510,000.00 53,486.14 -0.06 2,180,000.00 55,135.00 2,650,000.00 53,784.00 54,967.71 0.04 -0.01 -0.00 57,297.00 53,806.43 53,776.11 0.04 53,281.73 53,403.75 53,153.00 55,405.00 -425,200.00 53,243.68 54,870.17 53,541.52 -280,574.00 -500,000.00 -500,000.00 54,483.60 -500,000.00 23,600.00 -500,000.00 -500,000.00 1.00 -500,000.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 6.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-30 52,901.78 -0.01 54,444.33 0.00 -0.03 2,180,000.00 2,510,000.00 2,100,000.00 0.04 2,650,000.00 -0.00 2,414,285.71 2,930,000.00 3,400,000.00 54,054.00 0.27 55,405.00 1,640,000.00 54,870.17 -0.01 1,760,000.00 57,297.00 2,010,000.00 53,153.00 54,671.71 -0.00 0.05 0.04 53,784.00 54,483.60 53,494.91 -0.06 53,045.56 53,281.73 55,946.00 55,135.00 -500,000.00 53,076.36 53,806.43 53,403.75 23,600.00 -500,000.00 -500,000.00 53,541.52 -500,000.00 -500,000.00 -500,000.00 -500,000.00 1.00 -500,000.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-05-31 53,873.09 0.03 54,084.00 -0.01 -0.01 1,760,000.00 1,640,000.00 1,930,000.00 -0.00 2,010,000.00 0.00 2,324,285.71 2,510,000.00 2,930,000.00 53,333.00 0.74 55,135.00 2,650,000.00 53,806.43 0.05 3,400,000.00 53,784.00 1,130,000.00 55,946.00 54,633.14 0.04 -0.03 -0.06 53,153.00 53,541.52 53,504.43 -0.01 52,901.78 53,045.56 54,054.00 57,297.00 -428,571.43 53,273.47 54,483.60 53,281.73 -500,000.00 -500,000.00 -333,333.33 53,403.75 0.00 -500,000.00 -500,000.00 -500,000.00 1.00 -500,000.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-03 55,522.73 0.07 55,615.67 0.03 0.03 3,400,000.00 2,650,000.00 2,696,666.67 0.04 1,130,000.00 0.00 2,545,714.29 1,640,000.00 2,510,000.00 54,865.00 0.78 57,297.00 2,010,000.00 54,483.60 -0.03 2,930,000.00 53,153.00 4,950,000.00 54,054.00 54,826.29 -0.06 -0.01 -0.01 55,946.00 53,403.75 53,652.88 0.05 53,873.09 52,901.78 53,333.00 53,784.00 -357,142.86 54,099.20 53,541.52 53,045.56 -500,000.00 -500,000.00 -166,666.67 53,281.73 0.00 -500,000.00 -500,000.00 -500,000.00 1.00 0.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-04 59,610.94 0.05 58,408.67 0.05 0.07 2,930,000.00 2,010,000.00 3,060,000.00 -0.06 4,950,000.00 0.02 2,570,000.00 2,650,000.00 1,640,000.00 58,649.00 0.77 53,784.00 1,130,000.00 53,541.52 -0.01 2,510,000.00 55,946.00 3,100,000.00 53,333.00 55,958.86 -0.01 0.03 0.05 54,054.00 53,281.73 54,519.94 -0.03 55,522.73 53,873.09 54,865.00 53,153.00 -285,714.29 56,335.59 53,403.75 52,901.78 -500,000.00 -500,000.00 0.00 53,045.56 0.00 -500,000.00 0.00 -500,000.00 1.00 0.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-05 59,334.68 -0.02 60,300.67 0.03 0.05 2,510,000.00 1,130,000.00 3,623,333.33 -0.01 3,100,000.00 0.02 2,614,285.71 2,010,000.00 2,650,000.00 61,712.00 0.29 53,153.00 4,950,000.00 53,403.75 0.03 1,640,000.00 54,054.00 2,820,000.00 54,865.00 57,014.29 0.05 0.07 -0.03 53,333.00 53,045.56 55,367.21 -0.01 59,610.94 55,522.73 58,649.00 55,946.00 -214,285.71 58,156.12 53,281.73 53,873.09 -500,000.00 0.00 0.00 52,901.78 0.00 -500,000.00 0.00 -500,000.00 1.00 0.00 1.00 1.00 1.00 -500,000.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-06 60,365.61 0.02 61,291.67 0.02 -0.02 1,640,000.00 4,950,000.00 2,780,000.00 0.05 2,820,000.00 0.01 2,725,714.29 1,130,000.00 2,010,000.00 60,541.00 0.78 55,946.00 3,100,000.00 53,281.73 0.07 2,650,000.00 53,333.00 2,420,000.00 58,649.00 57,825.14 -0.03 0.05 -0.01 54,865.00 52,901.78 56,379.20 0.03 59,334.68 59,610.94 61,712.00 54,054.00 -142,857.14 59,770.41 53,045.56 55,522.73 -500,000.00 0.00 0.00 53,873.09 0.00 -500,000.00 0.00 -500,000.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-07 60,359.31 0.00 61,261.67 -0.00 0.02 2,650,000.00 3,100,000.00 2,276,666.67 -0.03 2,420,000.00 0.02 2,574,285.71 4,950,000.00 1,130,000.00 61,622.00 0.28 54,054.00 2,820,000.00 53,045.56 0.05 2,010,000.00 54,865.00 1,590,000.00 61,712.00 58,906.29 -0.01 -0.02 0.03 58,649.00 53,873.09 57,424.02 0.07 60,365.61 59,334.68 60,541.00 53,333.00 -71,428.57 60,019.86 52,901.78 59,610.94 -500,000.00 0.00 0.00 55,522.73 0.00 -500,000.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-10 60,622.79 0.02 61,952.33 0.01 0.00 2,010,000.00 2,820,000.00 1,793,333.33 -0.01 1,590,000.00 0.02 2,482,857.14 3,100,000.00 4,950,000.00 61,622.00 0.74 53,333.00 2,420,000.00 52,901.78 -0.02 1,130,000.00 58,649.00 1,370,000.00 60,541.00 60,232.00 0.03 0.02 0.07 61,712.00 55,522.73 58,527.02 0.05 60,359.31 60,365.61 61,622.00 54,865.00 0.00 60,449.23 53,873.09 59,334.68 -500,000.00 0.00 0.00 59,610.94 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 1.00
2024-06-11 60,345.39 -0.01 62,012.33 0.00 0.02 1,130,000.00 2,420,000.00 1,820,000.00 0.03 1,370,000.00 0.02 2,678,571.43 2,820,000.00 3,100,000.00 62,613.00 0.23 54,865.00 1,590,000.00 53,873.09 0.02 4,950,000.00 61,712.00 2,500,000.00 61,622.00 61,223.00 0.07 0.00 0.05 60,541.00 59,610.94 59,451.63 -0.02 60,622.79 60,359.31 61,622.00 58,649.00 0.00 60,442.50 55,522.73 60,365.61 0.00 0.00 0.00 59,334.68 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-12 60,614.80 0.01 62,372.67 0.01 -0.01 4,950,000.00 1,590,000.00 2,043,333.33 0.07 2,500,000.00 0.01 2,294,285.71 2,420,000.00 2,820,000.00 61,802.00 0.77 58,649.00 1,370,000.00 55,522.73 0.00 3,100,000.00 60,541.00 2,260,000.00 61,622.00 61,802.14 0.05 0.02 -0.02 61,622.00 59,334.68 60,179.07 0.02 60,345.39 60,622.79 62,613.00 61,712.00 0.00 60,527.66 59,610.94 60,359.31 0.00 0.00 0.00 60,365.61 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-13 60,577.55 0.01 62,522.67 0.00 0.01 3,100,000.00 1,370,000.00 2,130,000.00 0.05 2,260,000.00 0.00 2,084,285.71 1,590,000.00 2,420,000.00 62,703.00 0.76 61,712.00 2,500,000.00 59,610.94 0.02 2,820,000.00 61,622.00 1,630,000.00 62,613.00 61,995.14 -0.02 -0.01 0.02 61,622.00 60,365.61 60,317.16 0.00 60,614.80 60,345.39 61,802.00 60,541.00 0.00 60,512.58 59,334.68 60,622.79 0.00 0.00 0.00 60,359.31 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-14 60,690.67 0.00 62,943.00 0.01 0.01 2,820,000.00 2,500,000.00 2,603,333.33 -0.02 1,630,000.00 0.01 2,241,428.57 1,370,000.00 1,590,000.00 63,063.00 0.28 60,541.00 2,260,000.00 59,334.68 -0.01 2,420,000.00 61,622.00 3,920,000.00 61,802.00 62,355.43 0.02 0.01 0.00 62,613.00 60,359.31 60,510.87 0.02 60,577.55 60,614.80 62,703.00 61,622.00 0.00 60,627.67 60,365.61 60,345.39 0.00 0.00 0.00 60,622.79 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-17 60,011.60 -0.03 62,432.33 -0.01 0.00 2,420,000.00 2,260,000.00 3,263,333.33 0.02 3,920,000.00 -0.00 2,501,428.57 2,500,000.00 1,370,000.00 63,063.00 0.23 61,622.00 1,630,000.00 60,365.61 0.01 1,590,000.00 62,613.00 4,240,000.00 62,703.00 62,291.00 0.00 0.01 0.02 61,802.00 60,622.79 60,460.30 -0.01 60,690.67 60,577.55 63,063.00 61,622.00 0.00 60,426.61 60,359.31 60,614.80 0.00 0.00 0.00 60,345.39 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-18 60,155.94 0.01 61,952.00 -0.01 -0.03 1,590,000.00 1,630,000.00 3,236,666.67 0.00 4,240,000.00 0.00 2,495,714.29 2,260,000.00 2,500,000.00 61,171.00 0.69 61,622.00 3,920,000.00 60,359.31 0.01 1,370,000.00 61,802.00 1,550,000.00 63,063.00 62,291.00 0.02 0.00 -0.01 62,703.00 60,345.39 60,431.25 0.01 60,011.60 60,690.67 63,063.00 62,613.00 0.00 60,286.07 60,622.79 60,577.55 0.00 0.00 0.00 60,614.80 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-19 60,268.79 0.02 61,922.00 -0.00 0.01 1,370,000.00 3,920,000.00 2,790,000.00 0.02 1,550,000.00 0.00 2,668,571.43 1,630,000.00 2,260,000.00 61,622.00 0.68 62,613.00 4,240,000.00 60,622.79 0.00 2,500,000.00 62,703.00 2,580,000.00 63,063.00 62,342.43 -0.01 -0.03 0.01 63,063.00 60,614.80 60,380.68 0.01 60,155.94 60,011.60 61,171.00 61,802.00 0.00 60,145.44 60,345.39 60,690.67 0.00 0.00 0.00 60,577.55 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-20 60,416.11 0.00 62,522.67 0.01 0.02 2,500,000.00 4,240,000.00 2,006,666.67 -0.01 2,580,000.00 0.00 2,581,428.57 3,920,000.00 1,630,000.00 62,973.00 0.25 61,802.00 1,550,000.00 60,345.39 -0.03 2,260,000.00 63,063.00 1,890,000.00 61,171.00 62,509.71 0.01 0.01 0.01 63,063.00 60,577.55 60,390.78 0.00 60,268.79 60,155.94 61,622.00 62,703.00 0.00 60,280.28 60,614.80 60,011.60 0.00 0.00 0.00 60,690.67 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-21 60,486.43 0.01 63,183.33 0.01 0.00 2,260,000.00 1,550,000.00 2,236,666.67 0.01 1,890,000.00 0.00 2,578,571.43 4,240,000.00 3,920,000.00 62,973.00 0.71 62,703.00 2,580,000.00 60,614.80 0.01 1,630,000.00 63,063.00 2,240,000.00 61,622.00 62,638.43 0.01 0.02 0.00 61,171.00 60,690.67 60,372.44 -0.03 60,416.11 60,268.79 62,973.00 63,063.00 0.00 60,390.44 60,577.55 60,155.94 0.00 0.00 0.00 60,011.60 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-24 59,584.11 -0.06 62,132.33 -0.02 0.01 1,630,000.00 2,580,000.00 2,790,000.00 0.01 2,240,000.00 -0.01 2,951,428.57 1,550,000.00 4,240,000.00 63,604.00 0.20 63,063.00 1,890,000.00 60,577.55 0.02 3,920,000.00 61,171.00 4,240,000.00 62,973.00 62,175.14 0.00 0.00 -0.03 61,622.00 60,011.60 60,230.52 0.01 60,486.43 60,416.11 62,973.00 63,063.00 0.00 60,162.22 60,690.67 60,268.79 0.00 0.00 0.00 60,155.94 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-25 58,807.77 -0.04 60,270.33 -0.03 -0.06 3,920,000.00 1,890,000.00 3,000,000.00 0.00 4,240,000.00 -0.01 2,751,428.57 2,580,000.00 1,550,000.00 59,820.00 0.24 63,063.00 2,240,000.00 60,690.67 0.00 4,240,000.00 61,622.00 2,520,000.00 62,973.00 61,364.29 -0.03 0.01 0.01 62,973.00 60,155.94 59,961.53 0.02 59,584.11 60,486.43 63,604.00 61,171.00 0.00 59,626.10 60,011.60 60,416.11 0.00 0.00 0.00 60,268.79 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-26 58,774.12 0.02 58,528.33 -0.03 -0.04 4,240,000.00 2,240,000.00 2,683,333.33 -0.03 2,520,000.00 -0.01 2,330,000.00 1,890,000.00 2,580,000.00 57,387.00 0.68 61,171.00 4,240,000.00 60,011.60 0.01 1,550,000.00 62,973.00 1,290,000.00 63,604.00 60,965.29 0.01 -0.06 0.02 62,973.00 60,268.79 59,784.75 0.00 58,807.77 59,584.11 59,820.00 61,622.00 0.00 59,055.33 60,155.94 60,486.43 0.00 0.00 0.00 60,416.11 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-27 56,607.28 -0.02 57,627.33 -0.01 0.02 1,550,000.00 4,240,000.00 1,710,000.00 0.01 1,290,000.00 -0.01 2,297,142.86 2,240,000.00 1,890,000.00 58,378.00 0.20 61,622.00 2,520,000.00 60,155.94 -0.06 2,580,000.00 62,973.00 1,320,000.00 59,820.00 60,321.71 0.02 -0.04 0.00 63,604.00 60,416.11 59,277.80 0.01 58,774.12 58,807.77 57,387.00 62,973.00 0.00 58,063.06 60,268.79 59,584.11 0.00 0.00 0.00 60,486.43 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-06-28 54,673.52 -0.04 56,816.67 -0.01 -0.02 2,580,000.00 2,520,000.00 1,596,666.67 0.02 1,320,000.00 -0.02 2,240,000.00 4,240,000.00 2,240,000.00 57,117.00 0.18 62,973.00 1,290,000.00 60,268.79 -0.04 1,890,000.00 63,604.00 2,180,000.00 57,387.00 59,176.29 0.00 0.02 0.01 59,820.00 60,486.43 58,478.48 -0.06 56,607.28 58,774.12 58,378.00 62,973.00 0.00 56,684.98 60,416.11 58,807.77 0.00 0.00 0.00 59,584.11 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-01 55,956.39 0.02 56,066.00 -0.01 -0.04 1,890,000.00 1,290,000.00 1,593,333.33 0.00 2,180,000.00 -0.02 2,152,857.14 2,520,000.00 4,240,000.00 54,955.00 0.70 62,973.00 1,320,000.00 60,416.11 0.02 2,240,000.00 59,820.00 1,280,000.00 58,378.00 58,198.14 0.01 -0.02 -0.06 57,387.00 59,584.11 57,841.37 -0.04 54,673.52 56,607.28 57,117.00 63,604.00 0.00 55,745.73 60,486.43 58,774.12 0.00 0.00 0.00 58,807.77 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-02 56,171.71 0.01 56,006.00 -0.00 0.02 2,240,000.00 1,320,000.00 1,560,000.00 0.01 1,280,000.00 -0.02 2,007,142.86 1,290,000.00 2,520,000.00 56,126.00 0.70 63,604.00 2,180,000.00 60,486.43 -0.02 4,240,000.00 57,387.00 1,220,000.00 57,117.00 57,245.71 -0.06 -0.04 -0.04 58,378.00 58,807.77 57,224.98 0.02 55,956.39 54,673.52 54,955.00 59,820.00 0.00 55,600.54 59,584.11 56,607.28 0.00 0.00 0.00 58,774.12 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-03 56,043.65 -0.01 56,546.67 0.01 0.01 4,240,000.00 2,180,000.00 1,200,000.00 -0.06 1,220,000.00 -0.01 1,558,571.43 1,320,000.00 1,290,000.00 56,937.00 0.22 59,820.00 1,280,000.00 59,584.11 -0.04 2,520,000.00 58,378.00 1,100,000.00 54,955.00 56,782.43 -0.04 0.02 0.02 57,117.00 58,774.12 56,719.20 -0.02 56,171.71 55,956.39 56,126.00 57,387.00 0.00 56,057.25 58,807.77 54,673.52 0.00 0.00 0.00 56,607.28 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-04 56,297.67 0.03 57,177.33 0.01 -0.01 2,520,000.00 1,280,000.00 1,303,333.33 -0.04 1,100,000.00 0.00 1,425,714.29 2,180,000.00 1,320,000.00 56,577.00 0.70 57,387.00 1,220,000.00 58,807.77 0.02 1,290,000.00 57,117.00 1,590,000.00 56,126.00 56,872.57 0.02 0.01 -0.02 54,955.00 56,607.28 56,360.62 -0.04 56,043.65 56,171.71 56,937.00 58,378.00 0.00 56,171.01 58,774.12 55,956.39 0.00 0.00 0.00 54,673.52 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-05 57,979.34 -0.00 57,477.67 0.01 0.03 1,290,000.00 1,220,000.00 1,420,000.00 0.02 1,590,000.00 -0.00 1,465,714.29 1,280,000.00 2,180,000.00 58,018.00 0.22 58,378.00 1,100,000.00 58,774.12 0.01 1,320,000.00 54,955.00 1,570,000.00 56,937.00 56,795.43 -0.02 -0.01 -0.04 56,126.00 54,673.52 56,247.08 0.02 56,297.67 56,043.65 56,577.00 57,117.00 0.00 56,773.55 56,607.28 56,171.71 0.00 0.00 0.00 55,956.39 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-08 57,920.26 -0.01 57,777.67 0.01 -0.00 1,320,000.00 1,100,000.00 1,423,333.33 -0.02 1,570,000.00 0.00 1,435,714.29 1,220,000.00 1,280,000.00 57,838.00 0.22 57,117.00 1,590,000.00 56,607.28 -0.01 2,180,000.00 56,126.00 1,110,000.00 56,577.00 56,846.86 -0.04 0.03 0.02 56,937.00 55,956.39 56,434.65 0.01 57,979.34 56,297.67 58,018.00 54,955.00 0.00 57,399.09 54,673.52 56,043.65 0.00 0.00 0.00 56,171.71 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-09 58,110.15 0.01 57,807.67 0.00 -0.01 2,180,000.00 1,590,000.00 1,530,000.00 -0.04 1,110,000.00 0.01 1,397,142.86 1,100,000.00 1,220,000.00 57,477.00 0.67 54,955.00 1,570,000.00 54,673.52 0.03 1,280,000.00 56,937.00 1,910,000.00 58,018.00 57,297.29 0.02 -0.00 0.01 56,577.00 56,171.71 56,925.59 -0.01 57,920.26 57,979.34 57,838.00 56,126.00 0.00 58,003.25 55,956.39 56,297.67 0.00 0.00 0.00 56,043.65 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-10 59,412.32 0.03 58,408.33 0.01 0.01 1,280,000.00 1,570,000.00 1,943,333.33 0.02 1,910,000.00 0.01 1,615,714.29 1,590,000.00 1,100,000.00 58,108.00 0.72 56,126.00 1,110,000.00 55,956.39 -0.00 1,220,000.00 56,577.00 2,810,000.00 57,838.00 57,799.29 0.01 -0.01 -0.01 58,018.00 56,043.65 57,419.30 0.03 58,110.15 57,920.26 57,477.00 56,937.00 0.00 58,480.91 56,171.71 57,979.34 0.00 0.00 0.00 56,297.67 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-11 59,168.72 -0.02 58,829.00 0.01 0.03 1,220,000.00 1,110,000.00 1,970,000.00 0.01 2,810,000.00 0.00 1,611,428.57 1,570,000.00 1,590,000.00 59,640.00 0.25 56,937.00 1,910,000.00 56,171.71 -0.01 1,100,000.00 58,018.00 1,190,000.00 57,477.00 58,056.71 -0.01 0.01 0.03 57,838.00 56,297.67 57,847.45 -0.00 59,412.32 58,110.15 58,108.00 56,577.00 0.00 58,897.06 56,043.65 57,920.26 0.00 0.00 0.00 57,979.34 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-12 58,790.14 -0.02 58,618.67 -0.00 -0.02 1,100,000.00 1,910,000.00 1,870,000.00 -0.01 1,190,000.00 0.00 1,684,285.71 1,110,000.00 1,570,000.00 58,739.00 0.22 56,577.00 2,810,000.00 56,043.65 0.01 1,590,000.00 57,838.00 1,610,000.00 58,108.00 58,185.29 0.03 0.03 -0.00 57,477.00 57,979.34 58,239.80 -0.01 59,168.72 59,412.32 59,640.00 58,018.00 0.00 59,123.73 56,297.67 58,110.15 0.00 0.00 0.00 57,920.26 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-15 54,671.57 -0.03 57,387.33 -0.02 -0.02 1,590,000.00 2,810,000.00 1,520,000.00 0.03 1,610,000.00 -0.01 1,708,571.43 1,910,000.00 1,110,000.00 57,477.00 0.20 58,018.00 1,190,000.00 56,297.67 0.03 1,570,000.00 57,477.00 1,760,000.00 59,640.00 57,889.29 -0.00 -0.02 -0.01 58,108.00 57,920.26 58,007.50 0.01 58,790.14 59,168.72 58,739.00 57,838.00 0.00 57,543.48 57,979.34 59,412.32 0.00 0.00 0.00 58,110.15 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-16 54,358.77 -0.03 55,825.67 -0.03 -0.03 1,570,000.00 1,190,000.00 1,826,666.67 -0.00 1,760,000.00 -0.01 1,785,714.29 2,810,000.00 1,910,000.00 55,946.00 0.20 57,838.00 1,610,000.00 57,979.34 -0.02 1,110,000.00 58,108.00 2,110,000.00 58,739.00 57,348.71 -0.01 -0.02 0.01 59,640.00 58,110.15 57,490.28 0.03 54,671.57 58,790.14 57,477.00 57,477.00 0.00 55,940.16 57,920.26 59,168.72 0.00 0.00 0.00 59,412.32 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-17 51,261.33 -0.06 53,543.67 -0.04 -0.03 1,110,000.00 1,610,000.00 2,113,333.33 -0.01 2,110,000.00 -0.02 1,980,000.00 1,190,000.00 2,810,000.00 54,054.00 0.21 57,477.00 1,760,000.00 57,920.26 -0.02 1,910,000.00 59,640.00 2,470,000.00 57,477.00 56,370.71 0.01 -0.03 0.03 58,739.00 59,412.32 56,539.00 -0.02 54,358.77 54,671.57 55,946.00 58,108.00 0.00 53,430.56 58,110.15 58,790.14 0.00 0.00 0.00 59,168.72 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-18 50,748.49 0.02 52,072.33 -0.03 -0.06 1,910,000.00 1,760,000.00 2,026,666.67 0.01 2,470,000.00 -0.02 1,921,428.57 1,610,000.00 1,190,000.00 50,631.00 0.65 58,108.00 2,110,000.00 58,110.15 -0.03 2,810,000.00 58,739.00 1,500,000.00 55,946.00 55,431.29 0.03 -0.03 -0.02 57,477.00 59,168.72 55,487.33 -0.02 51,261.33 54,358.77 54,054.00 59,640.00 0.00 52,122.86 59,412.32 54,671.57 0.00 0.00 0.00 58,790.14 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-19 48,093.92 -0.02 50,871.00 -0.02 0.02 2,810,000.00 2,110,000.00 1,710,000.00 0.03 1,500,000.00 -0.02 1,685,714.29 1,760,000.00 1,610,000.00 51,532.00 0.23 59,640.00 2,470,000.00 59,412.32 -0.03 1,190,000.00 57,477.00 1,160,000.00 54,054.00 54,118.43 -0.02 -0.06 -0.02 55,946.00 58,790.14 53,870.42 -0.03 50,748.49 51,261.33 50,631.00 58,739.00 0.00 50,034.58 59,168.72 54,358.77 0.00 0.00 0.00 54,671.57 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-22 48,040.07 -0.03 50,240.33 -0.01 -0.02 1,190,000.00 2,470,000.00 1,356,666.67 -0.02 1,160,000.00 -0.03 1,717,142.86 2,110,000.00 1,760,000.00 50,450.00 0.16 58,739.00 1,500,000.00 59,168.72 -0.06 1,610,000.00 55,946.00 1,410,000.00 50,631.00 52,689.86 -0.02 0.02 -0.03 54,054.00 54,671.57 52,280.61 -0.03 48,093.92 50,748.49 51,532.00 57,477.00 0.00 48,960.83 58,790.14 51,261.33 0.00 0.00 0.00 54,358.77 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-23 47,807.68 0.00 49,309.33 -0.02 -0.03 1,610,000.00 1,500,000.00 1,246,666.67 -0.02 1,410,000.00 -0.02 1,654,285.71 2,470,000.00 2,110,000.00 48,739.00 0.20 57,477.00 1,160,000.00 58,790.14 0.02 1,760,000.00 54,054.00 1,170,000.00 51,532.00 51,441.57 -0.03 -0.02 -0.03 50,631.00 54,358.77 50,711.69 -0.06 48,040.07 48,093.92 50,450.00 55,946.00 0.00 47,980.56 54,671.57 50,748.49 0.00 0.00 0.00 51,261.33 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-24 47,943.97 0.01 48,859.00 -0.01 0.00 1,760,000.00 1,160,000.00 1,159,663.33 -0.03 1,170,000.00 -0.02 1,531,284.29 1,500,000.00 2,470,000.00 48,739.00 0.64 55,946.00 1,410,000.00 54,671.57 -0.02 2,110,000.00 50,631.00 898,990.00 50,450.00 50,463.43 -0.03 -0.03 -0.06 51,532.00 51,261.33 49,750.60 0.02 47,807.68 48,040.07 48,739.00 54,054.00 0.00 47,930.58 54,358.77 48,093.92 0.00 0.00 0.00 50,748.49 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-25 46,682.07 -0.02 48,648.67 -0.00 0.01 2,110,000.00 1,410,000.00 959,836.67 -0.03 898,990.00 -0.02 1,345,644.29 1,160,000.00 1,500,000.00 49,099.00 0.18 54,054.00 1,170,000.00 54,358.77 -0.03 2,470,000.00 51,532.00 810,520.00 48,739.00 49,614.00 -0.06 0.00 0.02 50,450.00 50,748.49 48,653.93 -0.02 47,943.97 47,807.68 48,739.00 50,631.00 0.00 47,477.91 51,261.33 48,040.07 0.00 0.00 0.00 48,093.92 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-26 47,992.62 0.06 49,369.33 0.02 -0.02 2,470,000.00 1,170,000.00 979,836.67 -0.06 810,520.00 0.00 1,168,501.43 1,410,000.00 1,160,000.00 48,108.00 1.00 50,631.00 898,990.00 51,261.33 0.00 1,500,000.00 50,450.00 1,230,000.00 48,739.00 49,652.57 0.02 0.01 -0.02 48,739.00 48,093.92 48,186.98 -0.03 46,682.07 47,943.97 49,099.00 51,532.00 0.00 47,539.56 50,748.49 47,807.68 0.00 0.00 0.00 48,040.07 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-29 48,532.14 0.00 50,000.00 0.01 0.06 1,500,000.00 898,990.00 1,005,033.33 0.02 1,230,000.00 -0.00 1,093,441.43 1,170,000.00 1,410,000.00 50,901.00 1.00 51,532.00 810,520.00 50,748.49 0.01 1,160,000.00 48,739.00 974,580.00 49,099.00 49,575.29 -0.02 -0.02 -0.03 48,739.00 48,040.07 47,870.35 0.00 47,992.62 46,682.07 48,108.00 50,450.00 0.00 47,735.61 48,093.92 47,943.97 0.00 0.00 0.00 47,807.68 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-30 48,273.30 -0.02 50,600.67 0.01 0.00 1,160,000.00 810,520.00 1,081,526.67 -0.02 974,580.00 -0.00 1,076,298.57 898,990.00 1,170,000.00 50,991.00 0.00 50,450.00 1,230,000.00 48,093.92 -0.02 1,410,000.00 48,739.00 1,040,000.00 48,108.00 49,498.14 -0.03 0.06 0.00 49,099.00 47,807.68 47,895.98 0.01 48,532.14 47,992.62 50,901.00 48,739.00 0.00 48,266.02 48,040.07 46,682.07 0.00 0.00 0.00 47,943.97 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-07-31 48,187.26 -0.01 50,150.33 -0.01 -0.02 1,410,000.00 1,230,000.00 911,026.67 -0.03 1,040,000.00 0.00 977,512.86 810,520.00 898,990.00 49,910.00 0.00 48,739.00 974,580.00 48,040.07 0.06 1,170,000.00 49,099.00 718,500.00 50,901.00 49,614.00 0.00 0.00 0.01 48,108.00 47,943.97 47,917.01 -0.02 48,273.30 48,532.14 50,991.00 48,739.00 0.00 48,330.90 47,807.68 47,992.62 0.00 0.00 0.00 46,682.07 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-01 45,940.03 -0.07 48,528.67 -0.03 -0.01 1,170,000.00 974,580.00 1,072,833.33 0.00 718,500.00 -0.01 1,018,941.43 1,230,000.00 810,520.00 49,550.00 0.00 48,739.00 1,040,000.00 47,807.68 0.00 898,990.00 48,108.00 1,460,000.00 50,991.00 49,240.71 0.01 -0.02 -0.02 50,901.00 46,682.07 47,650.20 0.06 48,187.26 48,273.30 49,910.00 49,099.00 0.00 47,466.86 47,943.97 48,532.14 0.00 0.00 0.00 47,992.62 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-02 45,535.87 0.02 47,597.67 -0.02 -0.07 898,990.00 1,040,000.00 1,031,270.00 0.01 1,460,000.00 -0.01 1,021,272.86 974,580.00 1,230,000.00 46,126.00 1.00 49,099.00 718,500.00 47,943.97 -0.02 810,520.00 50,901.00 915,310.00 49,910.00 48,957.57 -0.02 -0.01 0.06 50,991.00 47,992.62 47,306.18 0.00 45,940.03 48,187.26 49,550.00 48,108.00 0.00 46,554.39 46,682.07 48,273.30 0.00 0.00 0.00 48,532.14 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-05 43,924.11 -0.07 45,690.67 -0.04 0.02 810,520.00 718,500.00 1,361,770.00 -0.02 915,310.00 -0.01 1,149,770.00 1,040,000.00 974,580.00 47,117.00 0.00 48,108.00 1,460,000.00 46,682.07 -0.01 1,230,000.00 50,991.00 1,710,000.00 49,550.00 48,346.29 0.06 -0.07 0.00 49,910.00 48,532.14 46,912.19 -0.02 45,535.87 45,940.03 46,126.00 50,901.00 0.00 45,133.34 47,992.62 48,187.26 0.00 0.00 0.00 48,273.30 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-06 44,501.18 0.03 45,360.33 -0.01 -0.07 1,230,000.00 1,460,000.00 1,129,700.00 0.06 1,710,000.00 -0.02 1,083,168.57 718,500.00 1,040,000.00 43,829.00 1.00 50,901.00 915,310.00 47,992.62 -0.07 974,580.00 49,910.00 763,790.00 46,126.00 47,522.57 0.00 0.02 -0.02 49,550.00 48,273.30 46,413.41 -0.01 43,924.11 45,535.87 47,117.00 50,991.00 0.00 44,653.72 48,532.14 45,940.03 0.00 0.00 0.00 48,187.26 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-07 44,767.95 0.02 44,970.00 -0.01 0.03 974,580.00 915,310.00 1,041,490.00 0.00 763,790.00 -0.01 1,036,897.14 1,460,000.00 718,500.00 45,135.00 1.00 50,991.00 1,710,000.00 48,532.14 0.02 1,040,000.00 49,550.00 650,680.00 47,117.00 46,801.86 -0.02 -0.07 -0.01 46,126.00 48,187.26 45,875.67 -0.07 44,501.18 43,924.11 43,829.00 49,910.00 0.00 44,397.75 48,273.30 45,535.87 0.00 0.00 0.00 45,940.03 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-08 44,082.37 -0.05 44,985.00 0.00 0.02 1,040,000.00 1,710,000.00 814,823.33 -0.02 650,680.00 -0.02 1,035,468.57 915,310.00 1,460,000.00 45,946.00 0.00 49,910.00 763,790.00 48,273.30 -0.07 718,500.00 46,126.00 1,030,000.00 43,829.00 45,939.57 -0.01 0.03 -0.07 47,117.00 45,940.03 45,276.97 0.02 44,767.95 44,501.18 45,135.00 49,550.00 0.00 44,450.50 48,187.26 43,924.11 0.00 0.00 0.00 45,535.87 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-09 45,035.59 0.04 45,195.33 0.01 -0.05 718,500.00 763,790.00 933,560.00 -0.01 1,030,000.00 -0.01 1,092,825.71 1,710,000.00 915,310.00 43,874.00 1.00 49,550.00 650,680.00 48,187.26 0.03 1,460,000.00 47,117.00 1,120,000.00 45,135.00 45,399.00 -0.07 0.02 0.02 43,829.00 45,535.87 44,826.73 -0.07 44,082.37 44,767.95 45,946.00 46,126.00 0.00 44,628.64 45,940.03 44,501.18 0.00 0.00 0.00 43,924.11 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-12 45,132.95 0.02 45,435.67 0.01 0.04 1,460,000.00 650,680.00 1,034,126.67 -0.07 1,120,000.00 0.00 1,020,308.57 763,790.00 1,710,000.00 45,766.00 1.00 46,126.00 1,030,000.00 45,940.03 0.02 915,310.00 43,829.00 952,380.00 45,946.00 45,476.29 0.02 -0.05 -0.07 45,135.00 43,924.11 44,711.43 0.03 45,035.59 44,082.37 43,874.00 47,117.00 0.00 44,750.30 45,535.87 44,767.95 0.00 0.00 0.00 44,501.18 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-13 45,561.79 -0.01 46,276.33 0.02 0.02 915,310.00 1,030,000.00 1,016,690.00 0.02 952,380.00 -0.00 1,029,220.00 650,680.00 763,790.00 46,667.00 0.00 47,117.00 1,120,000.00 45,535.87 -0.05 1,710,000.00 45,135.00 977,690.00 43,874.00 45,373.29 -0.07 0.04 0.03 45,946.00 44,501.18 44,715.13 0.02 45,132.95 45,035.59 45,766.00 43,829.00 0.00 45,243.44 43,924.11 44,082.37 0.00 0.00 0.00 44,767.95 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-14 45,016.40 -0.01 46,306.33 0.00 -0.01 1,710,000.00 1,120,000.00 1,033,356.67 -0.07 977,690.00 0.01 952,077.14 1,030,000.00 650,680.00 46,396.00 0.00 43,829.00 952,380.00 43,924.11 0.04 763,790.00 45,946.00 1,170,000.00 45,766.00 45,662.86 0.03 0.02 0.02 43,874.00 44,767.95 44,871.17 -0.05 45,561.79 45,132.95 46,667.00 45,135.00 0.00 45,237.04 44,501.18 45,035.59 0.00 0.00 0.00 44,082.37 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-15 43,929.83 -0.02 45,690.67 -0.01 -0.01 763,790.00 952,380.00 897,270.00 0.03 1,170,000.00 -0.00 920,695.71 1,120,000.00 1,030,000.00 45,856.00 0.00 45,135.00 977,690.00 44,501.18 0.02 650,680.00 43,874.00 544,120.00 46,667.00 45,617.86 0.02 -0.01 -0.05 45,766.00 44,082.37 44,789.55 0.04 45,016.40 45,561.79 46,396.00 45,946.00 0.00 44,836.00 44,767.95 45,132.95 0.00 0.00 0.00 45,035.59 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-16 45,329.51 0.05 45,901.00 0.01 -0.02 650,680.00 977,690.00 1,068,040.00 0.02 544,120.00 0.00 1,040,598.57 952,380.00 1,120,000.00 44,820.00 1.00 45,946.00 1,170,000.00 44,767.95 -0.01 1,030,000.00 45,766.00 1,490,000.00 46,396.00 45,772.29 -0.05 -0.01 0.04 46,667.00 45,035.59 44,869.78 0.02 43,929.83 45,016.40 45,856.00 43,874.00 0.00 44,758.58 44,082.37 45,561.79 0.00 0.00 0.00 45,132.95 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-19 45,942.92 0.02 46,531.67 0.01 0.05 1,030,000.00 1,170,000.00 965,713.33 -0.05 1,490,000.00 0.01 1,016,744.29 977,690.00 952,380.00 47,027.00 1.00 43,874.00 544,120.00 44,082.37 -0.01 1,120,000.00 46,667.00 863,020.00 45,856.00 46,325.71 0.04 -0.02 0.02 46,396.00 45,132.95 45,135.57 -0.01 45,329.51 43,929.83 44,820.00 45,766.00 0.00 45,067.42 45,035.59 45,016.40 0.00 0.00 0.00 45,561.79 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-20 46,508.20 0.00 47,537.67 0.02 0.02 1,120,000.00 544,120.00 1,075,456.67 0.04 863,020.00 0.01 981,508.57 1,170,000.00 977,690.00 47,748.00 1.00 45,766.00 1,490,000.00 45,035.59 -0.02 952,380.00 46,396.00 873,350.00 44,820.00 46,621.71 0.02 0.05 -0.01 45,856.00 45,561.79 45,345.94 -0.01 45,942.92 45,329.51 47,027.00 46,667.00 0.00 45,926.88 45,132.95 43,929.83 0.00 0.00 0.00 45,016.40 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-21 45,896.69 -0.01 47,657.67 0.00 0.00 952,380.00 1,490,000.00 928,790.00 0.02 873,350.00 0.00 995,454.29 544,120.00 1,170,000.00 47,838.00 0.00 46,667.00 863,020.00 45,132.95 0.05 977,690.00 45,856.00 1,050,000.00 47,027.00 46,724.57 -0.01 0.02 -0.01 44,820.00 45,016.40 45,455.05 -0.02 46,508.20 45,942.92 47,748.00 46,396.00 0.00 46,115.94 45,561.79 45,329.51 0.00 0.00 0.00 43,929.83 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-22 46,953.55 0.04 48,168.00 0.01 -0.01 977,690.00 863,020.00 1,234,450.00 -0.01 1,050,000.00 0.01 1,110,070.00 1,490,000.00 544,120.00 47,387.00 1.00 46,396.00 873,350.00 45,561.79 0.02 1,170,000.00 44,820.00 1,780,000.00 47,748.00 47,136.43 -0.01 0.00 -0.02 47,027.00 43,929.83 45,653.87 0.05 45,896.69 46,508.20 47,838.00 45,856.00 0.00 46,452.81 45,016.40 45,942.92 0.00 0.00 0.00 45,329.51 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-23 46,471.66 -0.02 48,378.00 0.00 0.04 1,170,000.00 873,350.00 1,241,813.33 -0.01 1,780,000.00 0.01 1,070,847.14 863,020.00 1,490,000.00 49,279.00 0.00 45,856.00 1,050,000.00 45,016.40 0.00 544,120.00 47,027.00 895,440.00 47,838.00 47,509.57 -0.02 -0.01 0.05 47,748.00 45,329.51 45,861.76 0.02 46,953.55 45,896.69 47,387.00 44,820.00 0.00 46,440.63 43,929.83 46,508.20 0.00 0.00 0.00 45,942.92 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-26 46,259.68 -0.02 48,438.33 0.00 -0.02 544,120.00 1,050,000.00 1,186,370.00 -0.02 895,440.00 0.01 1,119,354.29 873,350.00 863,020.00 48,468.00 0.00 44,820.00 1,780,000.00 43,929.83 -0.01 1,490,000.00 47,748.00 883,670.00 47,387.00 47,902.14 0.05 0.04 0.02 47,838.00 45,942.92 46,194.60 0.00 46,471.66 46,953.55 49,279.00 47,027.00 0.00 46,561.63 45,329.51 45,896.69 0.00 0.00 0.00 46,508.20 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-27 45,372.33 -0.01 47,777.67 -0.01 -0.02 1,490,000.00 1,780,000.00 823,693.33 0.05 883,670.00 0.00 1,005,350.00 1,050,000.00 873,350.00 47,568.00 0.00 47,027.00 895,440.00 45,329.51 0.04 863,020.00 47,838.00 691,970.00 49,279.00 47,940.71 0.02 -0.02 0.00 47,387.00 46,508.20 46,200.72 -0.01 46,259.68 46,471.66 48,468.00 47,748.00 0.00 46,034.56 45,942.92 46,953.55 0.00 0.00 0.00 45,896.69 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-28 45,443.55 -0.00 47,327.33 -0.01 -0.01 863,020.00 895,440.00 696,670.00 0.02 691,970.00 -0.00 955,542.86 1,780,000.00 1,050,000.00 47,297.00 0.00 47,748.00 883,670.00 45,942.92 -0.02 873,350.00 47,387.00 514,370.00 48,468.00 47,850.57 0.00 -0.02 -0.01 49,279.00 45,896.69 46,129.38 0.04 45,372.33 46,259.68 47,568.00 47,838.00 0.00 45,691.86 46,508.20 46,471.66 0.00 0.00 0.00 46,953.55 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-29 46,441.74 0.02 47,537.33 0.00 -0.00 873,350.00 883,670.00 788,780.00 0.00 514,370.00 0.00 996,492.86 895,440.00 1,780,000.00 47,117.00 1.00 47,838.00 691,970.00 46,508.20 -0.02 1,050,000.00 49,279.00 1,160,000.00 47,568.00 47,902.00 -0.01 -0.01 0.04 48,468.00 46,953.55 46,119.89 -0.02 45,443.55 45,372.33 47,297.00 47,387.00 0.00 45,752.54 45,896.69 46,259.68 0.00 0.00 0.00 46,471.66 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-08-30 45,869.60 -0.01 47,627.67 0.00 0.02 1,050,000.00 691,970.00 687,513.33 -0.01 1,160,000.00 0.00 901,945.71 883,670.00 895,440.00 48,198.00 0.00 47,387.00 514,370.00 45,896.69 -0.01 1,780,000.00 48,468.00 388,170.00 47,297.00 47,927.86 0.04 -0.00 -0.02 47,568.00 46,471.66 46,116.02 -0.02 46,441.74 45,443.55 47,117.00 49,279.00 0.00 45,918.30 46,953.55 45,372.33 0.00 0.00 0.00 46,259.68 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-04 46,179.53 0.00 47,838.00 0.00 -0.01 1,780,000.00 514,370.00 751,340.00 0.04 388,170.00 -0.00 748,495.71 691,970.00 883,670.00 47,568.00 1.00 49,279.00 1,160,000.00 46,953.55 -0.00 895,440.00 47,568.00 705,850.00 47,117.00 47,709.14 -0.02 0.02 -0.02 47,297.00 46,259.68 46,005.44 -0.01 45,869.60 46,441.74 48,198.00 48,468.00 0.00 46,163.62 46,471.66 45,443.55 0.00 0.00 0.00 45,372.33 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-05 45,448.71 -0.02 47,417.67 -0.01 0.00 895,440.00 1,160,000.00 583,936.67 -0.02 705,850.00 -0.00 714,545.71 514,370.00 691,970.00 47,748.00 0.00 48,468.00 388,170.00 46,471.66 0.02 883,670.00 47,297.00 657,790.00 48,198.00 47,490.43 -0.02 -0.01 -0.01 47,117.00 45,372.33 45,859.31 -0.00 46,179.53 45,869.60 47,568.00 47,568.00 0.00 45,832.61 46,259.68 46,441.74 0.00 0.00 0.00 45,443.55 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-06 45,287.83 -0.01 47,117.33 -0.01 -0.02 883,670.00 388,170.00 623,080.00 -0.02 657,790.00 -0.00 660,535.71 1,160,000.00 514,370.00 46,937.00 0.00 47,568.00 705,850.00 46,259.68 -0.01 691,970.00 47,117.00 505,600.00 47,568.00 47,361.71 -0.01 0.00 -0.00 48,198.00 45,443.55 45,720.47 0.02 45,448.71 46,179.53 47,748.00 47,297.00 0.00 45,638.69 45,372.33 45,869.60 0.00 0.00 0.00 46,441.74 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-09 44,678.32 -0.02 46,516.67 -0.01 -0.01 691,970.00 705,850.00 580,160.00 -0.01 505,600.00 -0.00 644,124.29 388,170.00 1,160,000.00 46,667.00 0.00 47,297.00 657,790.00 45,372.33 0.00 514,370.00 48,198.00 577,090.00 47,748.00 47,168.71 -0.00 -0.02 0.02 47,568.00 46,441.74 45,621.33 -0.01 45,287.83 45,448.71 46,937.00 47,117.00 0.00 45,138.29 45,443.55 46,179.53 0.00 0.00 0.00 45,869.60 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-10 43,732.78 -0.03 45,736.00 -0.02 -0.02 514,370.00 657,790.00 578,420.00 -0.00 577,090.00 -0.01 663,867.14 705,850.00 388,170.00 45,946.00 0.00 47,117.00 505,600.00 45,443.55 -0.02 1,160,000.00 47,568.00 652,570.00 46,937.00 46,808.43 0.02 -0.01 -0.01 47,748.00 45,869.60 45,376.93 0.00 44,678.32 45,287.83 46,667.00 48,198.00 0.00 44,566.31 46,441.74 45,448.71 0.00 0.00 0.00 46,179.53 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-11 44,123.38 0.02 45,285.33 -0.01 -0.03 1,160,000.00 505,600.00 575,130.00 0.02 652,570.00 -0.01 568,971.43 657,790.00 705,850.00 44,595.00 1.00 48,198.00 577,090.00 46,441.74 -0.01 388,170.00 47,748.00 495,730.00 46,667.00 46,396.57 -0.01 -0.02 0.00 46,937.00 46,179.53 45,045.74 -0.02 43,732.78 44,678.32 45,946.00 47,568.00 0.00 44,178.16 45,869.60 45,287.83 0.00 0.00 0.00 45,448.71 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-12 44,286.48 0.01 45,225.33 -0.00 0.02 388,170.00 577,090.00 468,420.00 -0.01 495,730.00 -0.01 550,227.14 505,600.00 657,790.00 45,315.00 1.00 47,568.00 652,570.00 45,869.60 -0.02 705,850.00 46,937.00 256,960.00 45,946.00 46,139.14 0.00 -0.03 -0.02 46,667.00 45,448.71 44,819.58 -0.01 44,123.38 43,732.78 44,595.00 47,748.00 0.00 44,047.55 46,179.53 44,678.32 0.00 0.00 0.00 45,287.83 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-13 44,469.11 0.01 45,705.67 0.01 0.01 705,850.00 652,570.00 394,310.00 0.00 256,960.00 -0.01 510,854.29 577,090.00 505,600.00 45,766.00 1.00 47,748.00 495,730.00 46,179.53 -0.03 657,790.00 46,667.00 430,240.00 44,595.00 45,894.57 -0.02 0.02 -0.01 45,946.00 45,287.83 44,575.23 -0.02 44,286.48 44,123.38 45,315.00 46,937.00 0.00 44,292.99 45,448.71 43,732.78 0.00 0.00 0.00 44,678.32 0.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-16 44,102.68 -0.01 45,735.67 0.00 0.01 657,790.00 495,730.00 338,550.00 -0.02 430,240.00 -0.00 463,805.71 652,570.00 577,090.00 46,036.00 0.00 46,937.00 256,960.00 45,448.71 0.02 505,600.00 45,946.00 328,450.00 45,315.00 45,675.71 -0.01 0.01 -0.02 44,595.00 44,678.32 44,382.94 -0.03 44,469.11 44,286.48 45,766.00 46,667.00 -9,771.43 44,286.09 45,287.83 44,123.38 0.00 0.00 -22,800.00 43,732.78 -68,400.00 0.00 0.00 0.00 1.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-17 44,487.55 0.01 45,765.67 0.00 -0.01 505,600.00 256,960.00 356,460.00 -0.01 328,450.00 -0.00 435,961.43 495,730.00 652,570.00 45,405.00 1.00 46,667.00 430,240.00 45,287.83 0.01 577,090.00 44,595.00 310,690.00 45,766.00 45,559.86 -0.02 0.01 -0.03 45,315.00 43,732.78 44,268.62 0.02 44,102.68 44,469.11 46,036.00 45,946.00 -19,542.86 44,353.12 44,678.32 44,286.48 0.00 0.00 -45,600.00 44,123.38 -68,400.00 0.00 0.00 0.00 1.00 -68,400.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-18 45,627.46 0.03 46,186.00 0.01 0.01 577,090.00 430,240.00 703,046.67 -0.02 310,690.00 0.00 563,520.00 256,960.00 495,730.00 45,856.00 1.00 45,946.00 328,450.00 44,678.32 0.01 652,570.00 45,315.00 1,470,000.00 46,036.00 45,752.86 -0.03 -0.01 0.02 45,766.00 44,123.38 44,404.21 0.01 44,487.55 44,102.68 45,405.00 44,595.00 -29,314.29 44,739.23 43,732.78 44,469.11 0.00 0.00 -68,400.00 44,286.48 -68,400.00 0.00 -68,400.00 0.00 1.00 -68,400.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-19 45,998.81 -0.01 46,726.67 0.01 0.03 652,570.00 328,450.00 775,973.33 -0.03 1,470,000.00 0.01 548,471.43 430,240.00 256,960.00 47,297.00 0.00 44,595.00 310,690.00 43,732.78 -0.01 495,730.00 45,766.00 547,230.00 45,405.00 46,100.29 0.02 0.01 0.01 46,036.00 44,286.48 44,727.93 0.01 45,627.46 44,487.55 45,856.00 45,315.00 -39,085.71 45,371.27 44,123.38 44,102.68 0.00 -68,400.00 -68,400.00 44,469.11 -68,400.00 0.00 -68,400.00 0.00 1.00 -68,400.00 1.00 1.00 1.00 0.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-20 46,023.83 -0.00 47,087.00 0.01 -0.01 495,730.00 310,690.00 913,170.00 0.02 547,230.00 0.01 580,835.71 328,450.00 430,240.00 47,027.00 0.00 45,315.00 1,470,000.00 44,123.38 0.01 256,960.00 46,036.00 722,280.00 45,856.00 46,332.00 0.01 0.03 0.01 45,405.00 44,469.11 44,999.42 -0.01 45,998.81 45,627.46 47,297.00 45,766.00 -48,857.14 45,883.37 44,286.48 44,487.55 0.00 -68,400.00 -68,400.00 44,102.68 -68,400.00 0.00 -68,400.00 0.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-23 45,094.00 -0.02 46,666.67 -0.01 -0.00 256,960.00 1,470,000.00 650,793.33 0.01 722,280.00 0.00 641,680.00 310,690.00 328,450.00 46,937.00 0.00 45,766.00 547,230.00 44,286.48 0.03 430,240.00 45,405.00 682,870.00 47,297.00 46,370.57 0.01 -0.01 -0.01 45,856.00 44,102.68 45,114.78 0.01 46,023.83 45,998.81 47,027.00 46,036.00 -58,628.57 45,705.55 44,469.11 45,627.46 0.00 -68,400.00 -68,400.00 44,487.55 -68,400.00 0.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-24 45,311.59 0.01 46,546.67 -0.00 -0.02 430,240.00 547,230.00 571,946.67 0.01 682,870.00 0.00 624,601.43 1,470,000.00 310,690.00 46,036.00 1.00 46,036.00 722,280.00 44,469.11 -0.01 328,450.00 45,856.00 310,690.00 47,027.00 46,460.71 -0.01 -0.00 0.01 47,297.00 44,487.55 45,235.13 0.03 45,094.00 46,023.83 46,937.00 45,405.00 -68,400.00 45,476.47 44,102.68 45,998.81 0.00 -68,400.00 -68,400.00 45,627.46 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-25 45,177.94 -0.01 46,366.33 -0.00 0.01 328,450.00 722,280.00 521,846.67 -0.01 310,690.00 0.00 659,391.43 547,230.00 1,470,000.00 46,667.00 0.00 45,405.00 682,870.00 44,102.68 -0.00 310,690.00 47,297.00 571,980.00 46,937.00 46,602.29 0.01 -0.02 0.03 47,027.00 45,627.46 45,388.74 -0.01 45,311.59 45,094.00 46,036.00 45,856.00 -68,400.00 45,194.51 44,487.55 46,023.83 -68,400.00 -68,400.00 -68,400.00 45,998.81 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-26 45,592.29 0.00 46,486.33 0.00 -0.01 310,690.00 682,870.00 507,640.00 0.01 571,980.00 0.00 706,471.43 722,280.00 547,230.00 46,396.00 0.00 45,856.00 310,690.00 44,487.55 -0.02 1,470,000.00 47,027.00 640,250.00 46,036.00 46,679.43 0.03 0.01 -0.01 46,937.00 45,998.81 45,546.56 -0.00 45,177.94 45,311.59 46,667.00 47,297.00 -68,400.00 45,360.61 45,627.46 45,094.00 -68,400.00 -68,400.00 -68,400.00 46,023.83 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-27 45,114.19 -0.01 46,246.00 -0.01 0.00 1,470,000.00 310,690.00 573,350.00 0.03 640,250.00 -0.00 569,017.14 682,870.00 722,280.00 46,396.00 0.00 47,297.00 571,980.00 45,627.46 0.01 547,230.00 46,937.00 507,820.00 46,667.00 46,486.43 -0.01 -0.01 -0.00 46,036.00 46,023.83 45,473.23 -0.02 45,592.29 45,177.94 46,396.00 47,027.00 -68,400.00 45,294.81 45,998.81 45,311.59 -68,400.00 -68,400.00 -68,400.00 45,094.00 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-09-30 44,754.19 -0.00 46,036.00 -0.00 -0.01 547,230.00 571,980.00 490,470.00 -0.01 507,820.00 -0.00 537,032.86 310,690.00 682,870.00 45,946.00 0.00 47,027.00 640,250.00 45,998.81 -0.01 722,280.00 46,036.00 323,340.00 46,396.00 46,306.29 -0.00 0.00 -0.02 46,667.00 45,094.00 45,295.43 0.01 45,114.19 45,592.29 46,396.00 46,937.00 -68,400.00 45,153.56 46,023.83 45,177.94 -68,400.00 -68,400.00 -68,400.00 45,311.59 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-01 44,977.94 0.02 46,156.33 0.00 -0.00 722,280.00 640,250.00 603,690.00 -0.00 323,340.00 -0.00 573,837.14 571,980.00 310,690.00 45,766.00 1.00 46,937.00 507,820.00 46,023.83 0.00 682,870.00 46,667.00 979,910.00 46,396.00 46,280.57 -0.02 -0.01 0.01 46,396.00 45,311.59 45,146.02 -0.01 44,754.19 45,114.19 45,946.00 46,036.00 -68,400.00 44,948.77 45,094.00 45,592.29 -68,400.00 -68,400.00 -68,400.00 45,177.94 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-02 44,805.11 -0.02 46,186.33 0.00 0.02 682,870.00 507,820.00 542,790.00 -0.02 979,910.00 0.00 522,730.00 640,250.00 571,980.00 46,757.00 0.00 46,036.00 323,340.00 45,094.00 -0.01 310,690.00 46,396.00 325,120.00 45,946.00 46,280.57 0.01 -0.00 -0.01 46,396.00 45,177.94 45,104.75 0.00 44,977.94 44,754.19 45,766.00 46,667.00 -68,400.00 44,845.75 45,311.59 45,114.19 -68,400.00 -68,400.00 -68,400.00 45,592.29 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-03 44,473.52 -0.01 46,066.00 -0.00 -0.02 310,690.00 323,340.00 632,220.00 0.01 325,120.00 -0.00 562,864.29 507,820.00 640,250.00 46,036.00 0.00 46,667.00 979,910.00 45,311.59 -0.00 571,980.00 46,396.00 591,630.00 45,766.00 46,100.29 -0.01 0.02 0.00 45,946.00 45,592.29 44,985.03 -0.01 44,805.11 44,977.94 46,757.00 46,396.00 -68,400.00 44,752.19 45,177.94 44,754.19 -68,400.00 -68,400.00 -68,400.00 45,114.19 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-04 44,216.75 -0.00 45,555.33 -0.01 -0.01 571,980.00 979,910.00 431,310.00 -0.01 591,630.00 -0.00 535,035.71 323,340.00 507,820.00 45,405.00 0.00 46,396.00 325,120.00 45,177.94 0.02 640,250.00 45,946.00 377,180.00 46,757.00 45,933.00 0.00 -0.02 -0.01 45,766.00 45,114.19 44,847.71 -0.00 44,473.52 44,805.11 46,036.00 46,396.00 -68,400.00 44,498.46 45,592.29 44,977.94 -68,400.00 -68,400.00 -68,400.00 44,754.19 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-07 44,389.32 0.00 45,285.00 -0.01 -0.00 640,250.00 325,120.00 404,446.67 0.00 377,180.00 -0.00 478,504.29 979,910.00 323,340.00 45,225.00 0.00 46,396.00 591,630.00 45,592.29 -0.02 507,820.00 45,766.00 244,530.00 46,036.00 45,765.71 -0.01 -0.01 -0.00 46,757.00 44,754.19 44,675.86 0.02 44,216.75 44,473.52 45,405.00 45,946.00 -68,400.00 44,359.86 45,114.19 44,805.11 -68,400.00 -68,400.00 -68,400.00 44,977.94 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-08 44,283.98 -0.01 45,075.00 -0.00 0.00 507,820.00 591,630.00 355,790.00 -0.01 244,530.00 -0.00 469,624.29 325,120.00 979,910.00 45,225.00 0.00 45,946.00 377,180.00 45,114.19 -0.01 323,340.00 46,757.00 445,660.00 45,405.00 45,598.43 -0.00 -0.00 0.02 46,036.00 44,977.94 44,557.26 -0.02 44,389.32 44,216.75 45,225.00 45,766.00 -68,400.00 44,296.68 44,754.19 44,473.52 -68,400.00 -68,400.00 -68,400.00 44,805.11 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-09 44,851.64 0.03 45,315.33 0.01 -0.01 323,340.00 377,180.00 360,230.00 -0.00 445,660.00 0.00 479,218.57 591,630.00 325,120.00 44,775.00 1.00 45,766.00 244,530.00 44,754.19 -0.00 979,910.00 46,036.00 390,500.00 45,225.00 45,624.14 0.02 0.00 -0.02 45,405.00 44,805.11 44,571.18 -0.01 44,283.98 44,389.32 45,225.00 46,757.00 -68,400.00 44,508.31 44,977.94 44,216.75 -68,400.00 -68,400.00 -68,400.00 44,473.52 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-10 46,108.08 0.05 46,306.33 0.02 0.03 979,910.00 244,530.00 1,355,386.67 0.02 390,500.00 0.00 800,660.00 377,180.00 591,630.00 45,946.00 1.00 46,757.00 445,660.00 44,977.94 0.00 325,120.00 45,405.00 3,230,000.00 45,225.00 45,830.00 -0.02 -0.01 -0.01 45,225.00 44,473.52 44,732.63 -0.00 44,851.64 44,283.98 44,775.00 46,036.00 -68,400.00 45,081.23 44,805.11 44,389.32 -68,400.00 -68,400.00 -68,400.00 44,216.75 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-11 45,734.84 -0.01 47,297.33 0.02 0.05 325,120.00 445,660.00 1,399,603.33 -0.02 3,230,000.00 0.01 836,830.00 244,530.00 377,180.00 48,198.00 0.00 46,036.00 390,500.00 44,805.11 -0.01 591,630.00 45,225.00 578,310.00 44,775.00 46,074.57 -0.01 0.03 -0.00 45,225.00 44,216.75 44,865.45 0.00 46,108.08 44,851.64 45,946.00 45,405.00 -68,400.00 45,564.85 44,473.52 44,283.98 -68,400.00 -68,400.00 -68,400.00 44,389.32 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-14 46,403.53 0.00 47,928.00 0.01 -0.01 591,630.00 390,500.00 1,524,736.67 -0.01 578,310.00 0.01 861,725.71 445,660.00 244,530.00 47,748.00 1.00 45,405.00 3,230,000.00 44,473.52 0.03 377,180.00 45,225.00 765,900.00 45,946.00 46,422.14 -0.00 0.05 0.00 44,775.00 44,389.32 45,141.16 -0.01 45,734.84 46,108.08 48,198.00 45,225.00 -68,400.00 46,082.15 44,216.75 44,851.64 -68,400.00 -68,400.00 -68,400.00 44,283.98 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-15 45,299.18 -0.02 47,477.67 -0.01 0.00 377,180.00 3,230,000.00 784,736.67 -0.00 765,900.00 0.01 952,128.57 390,500.00 445,660.00 47,838.00 0.00 45,225.00 578,310.00 44,216.75 0.05 244,530.00 44,775.00 1,010,000.00 48,198.00 46,653.86 0.00 -0.01 -0.01 45,946.00 44,283.98 45,295.80 0.03 46,403.53 45,734.84 47,748.00 45,225.00 -68,400.00 45,812.52 44,389.32 46,108.08 -68,400.00 -68,400.00 -68,400.00 44,851.64 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-16 45,536.74 0.00 47,177.33 -0.01 -0.02 244,530.00 578,310.00 750,806.67 0.00 1,010,000.00 0.01 985,270.00 3,230,000.00 390,500.00 46,847.00 0.00 45,225.00 765,900.00 44,389.32 -0.01 445,660.00 45,946.00 476,520.00 47,748.00 46,885.57 -0.01 0.00 0.03 48,198.00 44,851.64 45,459.71 0.05 45,299.18 46,403.53 47,838.00 44,775.00 -68,400.00 45,746.49 44,283.98 45,734.84 -68,400.00 -68,400.00 -68,400.00 46,108.08 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-17 45,597.06 0.01 47,057.00 -0.00 0.00 445,660.00 765,900.00 645,466.67 -0.01 476,520.00 0.01 985,872.86 578,310.00 3,230,000.00 46,847.00 1.00 44,775.00 1,010,000.00 44,283.98 0.00 390,500.00 48,198.00 449,880.00 47,838.00 47,271.57 0.03 -0.02 0.05 47,748.00 46,108.08 45,647.30 -0.01 45,536.74 45,299.18 46,847.00 45,946.00 -68,400.00 45,477.66 44,851.64 46,403.53 -68,400.00 -68,400.00 -68,400.00 45,734.84 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-18 45,191.09 -0.01 47,087.00 0.00 0.01 390,500.00 1,010,000.00 459,130.00 0.03 449,880.00 0.00 994,514.29 765,900.00 578,310.00 47,477.00 0.00 45,946.00 476,520.00 44,851.64 -0.02 3,230,000.00 47,748.00 450,990.00 46,847.00 47,413.14 0.05 0.00 -0.01 47,838.00 45,734.84 45,695.79 0.00 45,597.06 45,536.74 46,847.00 48,198.00 -68,400.00 45,441.63 46,108.08 45,299.18 -68,400.00 -68,400.00 -68,400.00 46,403.53 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-21 46,570.60 0.02 47,507.33 0.01 -0.01 3,230,000.00 476,520.00 813,623.33 0.05 450,990.00 -0.00 753,085.71 1,010,000.00 765,900.00 46,937.00 1.00 48,198.00 449,880.00 46,108.08 0.00 578,310.00 47,838.00 1,540,000.00 46,847.00 47,400.29 -0.01 0.01 0.00 46,847.00 46,403.53 45,761.86 -0.02 45,191.09 45,597.06 47,477.00 47,748.00 -68,400.00 45,786.25 45,734.84 45,536.74 -68,400.00 -68,400.00 -68,400.00 45,299.18 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-22 45,121.72 -0.03 47,207.33 -0.01 0.02 578,310.00 449,880.00 910,380.00 -0.01 1,540,000.00 -0.00 776,205.71 476,520.00 1,010,000.00 48,108.00 0.00 47,748.00 450,990.00 45,734.84 0.01 765,900.00 46,847.00 740,150.00 47,477.00 47,233.00 0.00 -0.01 -0.02 46,847.00 45,299.18 45,674.27 0.00 46,570.60 45,191.09 46,937.00 47,838.00 -68,400.00 45,627.80 46,403.53 45,597.06 -68,400.00 -68,400.00 -68,400.00 45,536.74 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-23 45,370.37 -0.01 46,997.00 -0.00 -0.03 765,900.00 450,990.00 915,523.33 0.00 740,150.00 -0.00 733,422.86 449,880.00 476,520.00 46,577.00 0.00 47,838.00 1,540,000.00 46,403.53 -0.01 1,010,000.00 46,847.00 466,420.00 46,937.00 47,014.14 -0.02 0.02 0.00 47,477.00 45,536.74 45,526.68 0.01 45,121.72 46,570.60 48,108.00 46,847.00 -68,400.00 45,687.56 45,299.18 45,191.09 -68,400.00 -68,400.00 -68,400.00 45,597.06 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-24 44,581.87 -0.02 46,156.33 -0.02 -0.01 1,010,000.00 1,540,000.00 633,403.33 -0.02 466,420.00 -0.00 688,228.57 450,990.00 449,880.00 46,306.00 0.00 46,847.00 740,150.00 45,299.18 0.02 476,520.00 47,477.00 693,640.00 48,108.00 46,834.00 0.00 -0.03 0.01 46,937.00 45,597.06 45,424.21 -0.01 45,370.37 45,121.72 46,577.00 46,847.00 -68,400.00 45,024.65 45,536.74 46,570.60 -68,400.00 -68,400.00 -68,400.00 45,191.09 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-25 44,656.72 0.00 45,856.00 -0.01 -0.02 476,520.00 740,150.00 451,620.00 0.00 693,640.00 -0.00 647,982.86 1,540,000.00 450,990.00 45,586.00 1.00 46,847.00 466,420.00 45,536.74 -0.03 449,880.00 46,937.00 194,800.00 46,577.00 46,666.71 0.01 -0.01 -0.01 48,108.00 45,191.09 45,298.49 0.02 44,581.87 45,370.37 46,306.00 47,477.00 -68,400.00 44,869.65 45,597.06 45,121.72 -68,400.00 -68,400.00 -68,400.00 46,570.60 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-28 44,842.24 0.01 45,826.00 -0.00 0.00 449,880.00 466,420.00 407,516.67 0.01 194,800.00 -0.00 631,444.29 740,150.00 1,540,000.00 45,676.00 1.00 47,477.00 693,640.00 45,597.06 -0.01 450,990.00 48,108.00 334,110.00 46,306.00 46,486.57 -0.01 -0.02 0.02 46,577.00 46,570.60 45,190.66 -0.03 44,656.72 44,581.87 45,586.00 46,937.00 -68,400.00 44,693.61 45,191.09 45,370.37 -68,400.00 -68,400.00 -68,400.00 45,121.72 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-29 46,163.57 0.03 46,486.67 0.01 0.01 450,990.00 693,640.00 562,970.00 -0.01 334,110.00 0.00 732,731.43 466,420.00 740,150.00 46,216.00 1.00 46,937.00 194,800.00 45,191.09 -0.02 1,540,000.00 46,577.00 1,160,000.00 45,586.00 46,576.71 0.02 0.00 -0.03 46,306.00 45,121.72 45,329.58 -0.01 44,842.24 44,656.72 45,676.00 48,108.00 -68,400.00 45,220.84 46,570.60 44,581.87 -68,400.00 -68,400.00 -68,400.00 45,370.37 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-30 45,837.18 -0.00 47,087.00 0.01 0.03 1,540,000.00 194,800.00 611,183.33 0.02 1,160,000.00 -0.00 561,222.86 693,640.00 466,420.00 47,568.00 0.00 48,108.00 334,110.00 46,570.60 0.00 740,150.00 46,306.00 339,440.00 45,676.00 46,486.57 -0.03 0.01 -0.01 45,586.00 45,370.37 45,224.81 -0.02 46,163.57 44,842.24 46,216.00 46,577.00 -68,400.00 45,614.33 45,121.72 44,656.72 -68,400.00 -68,400.00 -68,400.00 44,581.87 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-10-31 45,458.44 -0.02 47,267.33 0.00 -0.00 740,150.00 334,110.00 651,476.67 -0.03 339,440.00 0.00 520,485.71 194,800.00 693,640.00 47,477.00 0.00 46,577.00 1,160,000.00 45,121.72 0.01 466,420.00 45,586.00 454,990.00 46,216.00 46,512.29 -0.01 0.03 -0.02 45,676.00 44,581.87 45,272.91 0.00 45,837.18 46,163.57 47,568.00 46,306.00 -68,400.00 45,819.73 45,370.37 44,842.24 -68,400.00 -68,400.00 -68,400.00 44,656.72 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-01 44,656.31 -0.03 46,606.67 -0.01 -0.02 466,420.00 1,160,000.00 634,810.00 -0.01 454,990.00 -0.00 612,425.71 334,110.00 194,800.00 46,757.00 0.00 46,306.00 339,440.00 45,370.37 0.03 693,640.00 45,676.00 1,110,000.00 47,568.00 46,409.43 -0.02 -0.00 0.00 46,216.00 44,656.72 45,170.90 0.01 45,458.44 45,837.18 47,477.00 45,586.00 -68,400.00 45,317.31 44,581.87 46,163.57 -68,400.00 -68,400.00 -68,400.00 44,842.24 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-04 45,306.68 0.01 46,186.33 -0.01 -0.03 693,640.00 339,440.00 769,786.67 -0.02 1,110,000.00 0.00 619,672.86 1,160,000.00 334,110.00 45,586.00 1.00 45,586.00 454,990.00 44,581.87 -0.00 194,800.00 46,216.00 744,370.00 47,477.00 46,499.43 0.00 -0.02 0.01 47,568.00 44,842.24 45,274.45 0.03 44,656.31 45,458.44 46,757.00 45,676.00 -68,400.00 45,140.48 44,656.72 45,837.18 -68,400.00 -68,400.00 -68,400.00 46,163.57 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-05 44,642.66 -0.02 45,766.00 -0.01 0.01 194,800.00 454,990.00 837,940.00 0.00 744,370.00 -0.00 686,051.43 339,440.00 1,160,000.00 46,216.00 0.00 45,676.00 1,110,000.00 44,656.72 -0.02 334,110.00 47,568.00 659,450.00 46,757.00 46,473.71 0.01 -0.03 0.03 47,477.00 46,163.57 45,272.44 -0.00 45,306.68 44,656.31 45,586.00 46,216.00 -68,400.00 44,868.55 44,842.24 45,458.44 -68,400.00 -68,400.00 -68,400.00 45,837.18 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-06 45,052.96 0.01 45,946.00 0.00 -0.02 334,110.00 1,110,000.00 662,413.33 0.01 659,450.00 -0.00 721,667.14 454,990.00 339,440.00 45,496.00 1.00 46,216.00 744,370.00 44,842.24 -0.03 1,160,000.00 47,477.00 583,420.00 45,586.00 46,460.86 0.03 0.01 -0.00 46,757.00 45,837.18 45,302.54 -0.02 44,642.66 45,306.68 46,216.00 47,568.00 -68,400.00 45,000.77 46,163.57 44,656.31 -68,400.00 -68,400.00 -68,400.00 45,458.44 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-07 45,959.55 0.04 46,456.67 0.01 0.01 1,160,000.00 744,370.00 1,964,290.00 0.03 583,420.00 0.00 1,220,238.57 1,110,000.00 454,990.00 46,126.00 1.00 47,568.00 659,450.00 46,163.57 0.01 339,440.00 46,757.00 4,650,000.00 46,216.00 46,486.57 -0.00 -0.02 -0.02 45,586.00 45,458.44 45,273.40 -0.03 45,052.96 44,642.66 45,496.00 47,477.00 -68,400.00 45,218.39 45,837.18 45,306.68 -68,400.00 -68,400.00 -68,400.00 44,656.31 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-08 46,288.10 0.01 47,417.33 0.02 0.04 339,440.00 659,450.00 3,554,473.33 -0.00 4,650,000.00 0.00 1,947,461.43 744,370.00 1,110,000.00 47,748.00 1.00 47,477.00 583,420.00 45,837.18 -0.02 454,990.00 45,586.00 5,430,000.00 45,496.00 46,615.29 -0.02 0.01 -0.03 46,216.00 44,656.31 45,337.82 0.01 45,959.55 45,052.96 46,126.00 46,757.00 -68,400.00 45,766.87 45,458.44 44,642.66 -68,400.00 -68,400.00 -68,400.00 45,306.68 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-11 48,200.10 0.07 49,279.33 0.04 0.01 454,990.00 583,420.00 6,126,666.67 -0.02 5,430,000.00 0.01 3,068,177.14 659,450.00 744,370.00 48,378.00 1.00 46,757.00 4,650,000.00 45,458.44 0.01 1,110,000.00 46,216.00 8,300,000.00 46,126.00 47,323.14 -0.03 0.04 0.01 45,496.00 45,306.68 45,729.48 -0.02 46,288.10 45,959.55 47,748.00 45,586.00 -68,400.00 46,815.92 44,656.31 45,052.96 -68,400.00 -68,400.00 -68,400.00 44,642.66 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-12 51,205.47 0.02 50,901.00 0.03 0.07 1,110,000.00 4,650,000.00 5,620,000.00 -0.03 8,300,000.00 0.02 3,356,748.57 583,420.00 659,450.00 51,712.00 1.00 45,586.00 5,430,000.00 44,656.31 0.04 744,370.00 45,496.00 3,130,000.00 47,748.00 48,327.00 0.01 0.01 -0.02 46,126.00 44,642.66 46,665.08 0.01 48,200.10 46,288.10 48,378.00 46,216.00 -68,400.00 48,564.56 45,306.68 45,959.55 -68,400.00 -68,400.00 -68,400.00 45,052.96 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-13 52,284.41 0.01 52,432.67 0.03 0.02 744,370.00 5,430,000.00 4,920,000.00 0.01 3,130,000.00 0.02 3,726,124.29 4,650,000.00 583,420.00 52,613.00 1.00 46,216.00 8,300,000.00 45,306.68 0.01 659,450.00 46,126.00 3,330,000.00 48,378.00 49,292.29 -0.02 0.07 0.01 47,748.00 45,052.96 47,661.89 0.04 51,205.47 48,200.10 51,712.00 45,496.00 -68,400.00 50,563.33 44,642.66 46,288.10 -68,400.00 -68,400.00 -68,400.00 45,959.55 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-14 50,476.57 -0.03 52,312.33 -0.00 0.01 659,450.00 8,300,000.00 3,123,333.33 -0.02 3,330,000.00 0.02 4,047,631.43 5,430,000.00 4,650,000.00 52,973.00 0.00 45,496.00 3,130,000.00 44,642.66 0.07 583,420.00 47,748.00 2,910,000.00 51,712.00 50,128.71 0.01 0.02 0.04 48,378.00 45,959.55 48,495.31 0.01 52,284.41 51,205.47 52,613.00 46,126.00 -68,400.00 51,322.15 45,052.96 48,200.10 -68,400.00 -68,400.00 -68,400.00 46,288.10 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-15 50,835.93 0.02 52,162.00 -0.00 -0.03 583,420.00 3,130,000.00 3,786,666.67 0.01 2,910,000.00 0.02 4,695,714.29 8,300,000.00 5,430,000.00 51,351.00 1.00 46,126.00 3,330,000.00 45,052.96 0.02 4,650,000.00 48,378.00 5,120,000.00 52,613.00 50,991.00 0.04 0.01 0.01 51,712.00 46,288.10 49,321.45 0.07 50,476.57 52,284.41 52,973.00 47,748.00 -68,400.00 51,198.97 45,959.55 51,205.47 -68,400.00 -68,400.00 -68,400.00 48,200.10 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-18 50,884.55 -0.00 51,831.67 -0.01 0.02 4,650,000.00 3,330,000.00 3,273,333.33 0.04 5,120,000.00 0.01 4,287,142.86 3,130,000.00 8,300,000.00 52,162.00 0.00 47,748.00 2,910,000.00 45,959.55 0.01 5,430,000.00 51,712.00 1,790,000.00 52,973.00 51,595.86 0.01 -0.03 0.07 52,613.00 48,200.10 50,025.02 0.02 50,835.93 50,476.57 51,351.00 48,378.00 -68,400.00 50,732.35 46,288.10 52,284.41 -68,400.00 -68,400.00 -68,400.00 51,205.47 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-19 47,997.29 -0.07 50,840.67 -0.02 -0.00 5,430,000.00 2,910,000.00 3,433,333.33 0.01 1,790,000.00 0.00 3,995,714.29 3,330,000.00 3,130,000.00 51,982.00 0.00 48,378.00 5,120,000.00 46,288.10 -0.03 8,300,000.00 52,613.00 3,390,000.00 51,351.00 51,595.86 0.07 0.02 0.02 52,973.00 51,205.47 50,269.19 0.01 50,884.55 50,835.93 52,162.00 51,712.00 -68,400.00 49,905.92 48,200.10 50,476.57 -68,400.00 -68,400.00 -68,400.00 52,284.41 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-20 47,580.36 0.00 49,609.33 -0.02 -0.07 8,300,000.00 5,120,000.00 2,746,666.67 0.07 3,390,000.00 -0.01 3,247,142.86 2,910,000.00 3,330,000.00 48,378.00 1.00 51,712.00 1,790,000.00 48,200.10 0.02 3,130,000.00 52,973.00 3,060,000.00 52,162.00 51,132.43 0.02 -0.00 0.01 51,351.00 52,284.41 50,180.65 -0.03 47,997.29 50,884.55 51,982.00 52,613.00 -68,400.00 48,820.73 51,205.47 50,835.93 -68,400.00 -68,400.00 -68,400.00 50,476.57 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.33 0.00 0.00 0.00 0.00 0.00 0.00 1.00
2024-11-21 46,670.93 0.00 48,498.33 -0.02 0.00 3,130,000.00 1,790,000.00 2,540,000.00 0.02 3,060,000.00 -0.01 2,967,142.86 5,120,000.00 2,910,000.00 48,468.00 1.00 52,613.00 3,390,000.00 51,205.47 -0.00 3,330,000.00 51,351.00 1,170,000.00 51,982.00 50,566.14 0.01 -0.07 -0.03 52,162.00 50,476.57 49,532.86 0.02 47,580.36 47,997.29 48,378.00 52,973.00 -68,400.00 47,416.19 52,284.41 50,884.55 -68,400.00 -68,400.00 -68,400.00 50,835.93 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-22 46,377.06 -0.01 48,378.33 -0.00 0.00 3,330,000.00 3,390,000.00 2,196,666.67 0.01 1,170,000.00 -0.01 2,828,571.43 1,790,000.00 5,120,000.00 48,649.00 0.00 52,973.00 3,060,000.00 52,284.41 -0.07 2,910,000.00 52,162.00 2,360,000.00 48,378.00 49,858.29 -0.03 0.00 0.02 51,982.00 50,835.93 48,688.95 -0.00 46,670.93 47,580.36 48,468.00 51,351.00 -68,400.00 46,876.11 50,476.57 47,997.29 -68,400.00 -68,400.00 -68,400.00 50,884.55 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-25 46,334.70 -0.01 48,078.33 -0.01 -0.01 2,910,000.00 3,060,000.00 1,993,333.33 -0.03 2,360,000.00 -0.01 2,762,857.14 3,390,000.00 1,790,000.00 48,018.00 0.00 51,351.00 1,170,000.00 50,476.57 0.00 5,120,000.00 51,982.00 2,450,000.00 48,468.00 49,317.86 0.02 0.00 -0.00 48,378.00 50,884.55 48,097.26 -0.07 46,377.06 46,670.93 48,649.00 52,162.00 -68,400.00 46,460.90 50,835.93 47,580.36 -68,400.00 -68,400.00 -68,400.00 47,997.29 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-26 45,904.37 0.01 47,868.00 -0.00 -0.01 5,120,000.00 1,170,000.00 2,243,333.33 0.02 2,450,000.00 -0.01 2,305,714.29 3,060,000.00 3,390,000.00 47,568.00 1.00 52,162.00 2,360,000.00 50,835.93 0.00 1,790,000.00 48,378.00 1,920,000.00 48,649.00 48,725.86 -0.00 -0.01 -0.07 48,468.00 47,997.29 47,392.75 0.00 46,334.70 46,377.06 48,018.00 51,982.00 -68,400.00 46,205.38 50,884.55 46,670.93 -68,400.00 -68,400.00 -68,400.00 47,580.36 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-27 46,825.95 0.01 48,078.33 0.00 0.01 1,790,000.00 2,360,000.00 2,333,333.33 -0.00 1,920,000.00 -0.01 2,425,714.29 1,170,000.00 3,060,000.00 48,018.00 1.00 51,982.00 2,450,000.00 50,884.55 -0.01 3,390,000.00 48,468.00 2,630,000.00 48,018.00 48,249.71 -0.07 -0.01 0.00 48,649.00 47,580.36 46,812.95 0.00 45,904.37 46,334.70 47,568.00 48,378.00 -68,400.00 46,355.01 47,997.29 46,377.06 -68,400.00 -68,400.00 -68,400.00 46,670.93 -68,400.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-28 46,914.10 0.01 48,558.67 0.01 0.01 3,390,000.00 2,450,000.00 2,336,666.67 -0.07 2,630,000.00 0.00 2,292,857.14 2,360,000.00 1,170,000.00 48,649.00 1.00 48,378.00 1,920,000.00 47,997.29 -0.01 3,060,000.00 48,649.00 2,460,000.00 47,568.00 48,339.86 0.00 0.01 0.00 48,018.00 46,670.93 46,658.21 -0.01 46,825.95 45,904.37 48,018.00 48,468.00 -53,085.71 46,548.14 47,580.36 46,334.70 -68,400.00 -68,400.00 -32,666.67 46,377.06 38,800.00 -68,400.00 -68,400.00 -68,400.00 1.00 -68,400.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-11-29 48,159.38 0.04 49,609.67 0.02 0.01 3,060,000.00 1,920,000.00 3,033,333.33 0.00 2,460,000.00 0.01 2,428,571.43 2,450,000.00 2,360,000.00 49,009.00 1.00 48,468.00 2,630,000.00 47,580.36 0.01 1,170,000.00 48,018.00 4,010,000.00 48,018.00 48,726.00 0.00 0.01 -0.01 47,568.00 46,377.06 46,740.93 -0.01 46,914.10 46,825.95 48,649.00 48,649.00 -37,771.43 47,299.81 46,670.93 45,904.37 -68,400.00 -68,400.00 3,066.67 46,334.70 38,800.00 -68,400.00 -68,400.00 -68,400.00 1.00 38,800.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-02 48,560.61 -0.01 50,300.33 0.01 0.04 1,170,000.00 2,630,000.00 2,793,333.33 0.00 4,010,000.00 0.01 2,534,285.71 1,920,000.00 2,450,000.00 51,171.00 0.00 48,649.00 2,460,000.00 46,670.93 0.01 2,360,000.00 47,568.00 1,910,000.00 48,649.00 49,022.00 -0.01 0.01 -0.01 48,018.00 46,334.70 47,010.88 0.01 48,159.38 46,914.10 49,009.00 48,018.00 -22,457.14 47,878.03 46,377.06 46,825.95 -68,400.00 -68,400.00 38,800.00 45,904.37 38,800.00 -68,400.00 38,800.00 -68,400.00 1.00 38,800.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-03 51,025.45 0.04 51,471.67 0.02 -0.01 2,360,000.00 2,460,000.00 3,583,333.33 -0.01 1,910,000.00 0.01 2,887,142.86 2,630,000.00 1,920,000.00 50,721.00 1.00 48,018.00 4,010,000.00 46,377.06 0.01 2,450,000.00 48,018.00 4,830,000.00 49,009.00 49,665.57 -0.01 0.04 0.01 48,649.00 45,904.37 47,674.94 0.01 48,560.61 48,159.38 51,171.00 47,568.00 -7,142.86 49,248.48 46,334.70 46,914.10 -68,400.00 38,800.00 38,800.00 46,825.95 38,800.00 -68,400.00 38,800.00 -68,400.00 1.00 38,800.00 1.00 1.00 1.00 -68,400.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-04 50,245.46 -0.03 51,381.67 -0.00 0.04 2,450,000.00 4,010,000.00 3,333,333.33 -0.01 4,830,000.00 0.01 3,002,857.14 2,460,000.00 2,630,000.00 52,523.00 0.00 47,568.00 1,910,000.00 46,334.70 0.04 1,920,000.00 48,649.00 3,260,000.00 51,171.00 50,141.71 0.01 -0.01 0.01 49,009.00 46,825.95 48,233.62 0.01 51,025.45 48,560.61 50,721.00 48,018.00 8,171.43 49,943.84 45,904.37 48,159.38 -68,400.00 38,800.00 38,800.00 46,914.10 38,800.00 -68,400.00 38,800.00 -68,400.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-05 50,688.91 0.01 51,591.67 0.00 -0.03 1,920,000.00 1,910,000.00 4,056,666.67 0.01 3,260,000.00 0.01 3,311,428.57 4,010,000.00 2,460,000.00 50,901.00 1.00 48,018.00 4,830,000.00 45,904.37 -0.01 2,630,000.00 49,009.00 4,080,000.00 50,721.00 50,617.86 0.01 0.04 0.01 51,171.00 46,914.10 48,917.12 0.04 50,245.46 51,025.45 52,523.00 48,649.00 23,485.71 50,653.27 46,825.95 48,560.61 -68,400.00 38,800.00 38,800.00 48,159.38 38,800.00 -68,400.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-06 50,468.89 0.02 51,471.33 -0.00 0.01 2,630,000.00 4,830,000.00 3,506,666.67 0.01 4,080,000.00 0.01 3,390,000.00 1,910,000.00 4,010,000.00 51,351.00 1.00 48,649.00 3,260,000.00 46,825.95 0.04 2,460,000.00 51,171.00 3,180,000.00 52,523.00 51,119.71 0.01 -0.03 0.04 50,721.00 48,159.38 49,437.54 -0.01 50,688.91 50,245.46 50,901.00 49,009.00 38,800.00 50,467.75 46,914.10 51,025.45 -68,400.00 38,800.00 38,800.00 48,560.61 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-09 50,391.15 -0.02 51,531.33 0.00 0.02 2,460,000.00 3,260,000.00 3,426,666.67 0.01 3,180,000.00 0.01 3,470,000.00 4,830,000.00 1,910,000.00 52,162.00 0.00 49,009.00 4,080,000.00 46,914.10 -0.03 4,010,000.00 50,721.00 3,020,000.00 50,901.00 51,415.71 0.04 0.01 -0.01 52,523.00 48,560.61 49,934.26 0.04 50,468.89 50,688.91 51,351.00 51,171.00 38,800.00 50,516.32 48,159.38 50,245.46 38,800.00 38,800.00 38,800.00 51,025.45 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-10 50,298.70 -0.00 51,411.33 -0.00 -0.02 4,010,000.00 4,080,000.00 3,163,333.33 0.04 3,020,000.00 -0.00 3,367,142.86 3,260,000.00 4,830,000.00 51,081.00 0.00 51,171.00 3,180,000.00 48,159.38 0.01 1,910,000.00 52,523.00 3,290,000.00 51,351.00 51,390.00 -0.01 0.02 0.04 50,901.00 51,025.45 50,239.88 -0.03 50,391.15 50,468.89 52,162.00 50,721.00 38,800.00 50,386.25 48,560.61 50,688.91 38,800.00 38,800.00 38,800.00 50,245.46 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-11 50,346.76 0.01 51,141.00 -0.01 -0.00 1,910,000.00 3,180,000.00 2,933,333.33 -0.01 3,290,000.00 0.00 3,450,000.00 4,080,000.00 3,260,000.00 50,991.00 1.00 50,721.00 3,020,000.00 48,560.61 0.02 4,830,000.00 50,901.00 2,490,000.00 52,162.00 51,480.00 0.04 -0.02 -0.03 51,351.00 50,245.46 50,495.04 0.01 50,298.70 50,391.15 51,081.00 52,523.00 38,800.00 50,345.54 51,025.45 50,468.89 38,800.00 38,800.00 38,800.00 50,688.91 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-12 47,478.58 -0.02 50,840.67 -0.01 0.01 4,830,000.00 3,020,000.00 2,876,666.67 0.04 2,490,000.00 -0.01 3,167,142.86 3,180,000.00 4,080,000.00 51,351.00 0.00 52,523.00 3,290,000.00 51,025.45 -0.02 3,260,000.00 51,351.00 2,850,000.00 51,081.00 51,145.29 -0.03 -0.00 0.01 52,162.00 50,688.91 49,988.35 0.02 50,346.76 50,298.70 50,991.00 50,901.00 38,800.00 49,374.68 50,245.46 50,391.15 38,800.00 38,800.00 38,800.00 50,468.89 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-13 47,257.33 -0.03 50,120.00 -0.01 -0.02 3,260,000.00 3,290,000.00 2,933,333.33 -0.03 2,850,000.00 -0.01 3,195,714.29 3,020,000.00 3,180,000.00 50,180.00 0.00 50,901.00 2,490,000.00 50,245.46 -0.00 4,080,000.00 52,162.00 3,460,000.00 50,991.00 50,849.29 0.01 0.01 0.02 51,081.00 50,468.89 49,561.47 -0.02 47,478.58 50,346.76 51,351.00 51,351.00 38,800.00 48,360.89 50,688.91 50,298.70 38,800.00 38,800.00 38,800.00 50,391.15 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-16 47,467.21 0.03 49,729.67 -0.01 -0.03 4,080,000.00 2,490,000.00 2,783,333.33 0.01 3,460,000.00 -0.00 2,904,285.71 3,290,000.00 3,020,000.00 48,829.00 1.00 51,351.00 2,850,000.00 50,688.91 0.01 3,180,000.00 51,081.00 2,040,000.00 51,351.00 50,682.00 0.02 -0.02 -0.02 50,991.00 50,391.15 49,101.23 -0.00 47,257.33 47,478.58 50,180.00 52,162.00 38,800.00 47,401.04 50,468.89 50,346.76 38,800.00 38,800.00 38,800.00 50,298.70 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-17 48,264.08 -0.01 49,519.67 -0.00 0.03 3,180,000.00 2,850,000.00 2,236,666.67 0.02 2,040,000.00 -0.01 2,622,857.14 2,490,000.00 3,290,000.00 50,180.00 0.00 52,162.00 3,460,000.00 50,468.89 -0.02 3,020,000.00 50,991.00 1,210,000.00 50,180.00 50,308.86 -0.02 -0.03 -0.00 51,351.00 50,298.70 48,786.26 0.01 47,467.21 47,257.33 48,829.00 51,081.00 38,800.00 47,662.87 50,391.15 47,478.58 38,800.00 38,800.00 38,800.00 50,346.76 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-18 47,560.81 0.01 49,940.00 0.01 -0.01 3,020,000.00 3,460,000.00 1,596,666.67 -0.02 1,210,000.00 -0.00 2,411,428.57 2,850,000.00 2,490,000.00 49,550.00 1.00 51,081.00 2,040,000.00 50,391.15 -0.03 3,290,000.00 51,351.00 1,540,000.00 48,829.00 50,167.29 -0.00 0.03 0.01 50,180.00 50,346.76 48,381.92 -0.02 48,264.08 47,467.21 50,180.00 50,991.00 38,800.00 47,764.03 50,298.70 47,257.33 38,800.00 38,800.00 38,800.00 47,478.58 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-19 48,104.65 0.02 50,180.33 0.00 0.01 3,290,000.00 2,040,000.00 2,020,000.00 -0.00 1,540,000.00 -0.00 2,414,285.71 3,460,000.00 2,850,000.00 50,090.00 1.00 50,991.00 1,210,000.00 50,298.70 0.03 2,490,000.00 50,180.00 3,310,000.00 50,180.00 50,154.43 0.01 -0.01 -0.02 48,829.00 47,478.58 48,068.49 -0.03 47,560.81 48,264.08 49,550.00 51,351.00 38,800.00 47,976.51 50,346.76 47,467.21 38,800.00 38,800.00 38,800.00 47,257.33 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-20 48,188.42 0.00 50,630.67 0.01 0.02 2,490,000.00 1,210,000.00 2,406,666.67 0.01 3,310,000.00 -0.00 2,397,142.86 2,040,000.00 3,460,000.00 50,901.00 0.00 51,351.00 1,540,000.00 50,346.76 -0.01 2,850,000.00 48,829.00 2,370,000.00 49,550.00 50,090.14 -0.02 0.01 -0.03 50,180.00 47,257.33 47,760.15 0.03 48,104.65 47,560.81 50,090.00 50,180.00 38,800.00 47,951.29 47,478.58 48,264.08 38,800.00 38,800.00 38,800.00 47,467.21 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-23 48,497.80 -0.01 50,690.67 0.00 0.00 2,850,000.00 1,540,000.00 2,773,333.33 -0.02 2,370,000.00 0.00 2,367,142.86 1,210,000.00 2,040,000.00 50,901.00 0.00 50,180.00 3,310,000.00 47,478.58 0.01 3,460,000.00 50,180.00 2,640,000.00 50,090.00 50,103.00 -0.03 0.02 0.03 49,550.00 47,467.21 47,905.76 -0.01 48,188.42 48,104.65 50,901.00 48,829.00 38,800.00 48,263.62 47,257.33 47,560.81 38,800.00 38,800.00 38,800.00 48,264.08 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-24 48,016.40 -0.01 50,240.33 -0.01 -0.01 3,460,000.00 3,310,000.00 2,510,000.00 -0.03 2,640,000.00 0.00 2,232,857.14 1,540,000.00 1,210,000.00 50,270.00 0.00 48,829.00 2,370,000.00 47,257.33 0.02 2,040,000.00 49,550.00 2,520,000.00 50,901.00 50,206.00 0.03 0.00 -0.01 50,090.00 48,264.08 48,014.19 0.01 48,497.80 48,188.42 50,901.00 50,180.00 38,800.00 48,234.20 47,467.21 48,104.65 38,800.00 38,800.00 38,800.00 47,560.81 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-25 47,872.70 0.02 50,060.00 -0.00 -0.01 2,040,000.00 2,370,000.00 2,483,333.33 0.03 2,520,000.00 0.00 2,268,571.43 3,310,000.00 1,540,000.00 49,550.00 1.00 50,180.00 2,640,000.00 47,467.21 0.00 1,210,000.00 50,090.00 2,290,000.00 50,901.00 50,231.71 -0.01 -0.01 0.01 50,901.00 47,560.81 48,072.12 0.02 48,016.40 48,497.80 50,270.00 49,550.00 38,800.00 48,128.97 48,264.08 48,188.42 38,800.00 38,800.00 38,800.00 48,104.65 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-26 48,365.99 -0.01 49,940.00 -0.00 0.02 1,210,000.00 2,640,000.00 2,123,333.33 -0.01 2,290,000.00 0.00 2,318,571.43 2,370,000.00 3,310,000.00 50,360.00 0.00 49,550.00 2,520,000.00 48,264.08 -0.01 1,540,000.00 50,901.00 1,560,000.00 50,270.00 50,283.14 0.01 -0.01 0.02 50,901.00 48,104.65 48,086.68 0.00 47,872.70 48,016.40 49,550.00 50,090.00 38,800.00 48,085.03 47,560.81 48,497.80 38,800.00 38,800.00 38,800.00 48,188.42 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-27 47,869.49 -0.03 49,609.67 -0.01 -0.01 1,540,000.00 2,520,000.00 2,483,333.33 0.01 1,560,000.00 -0.00 2,612,857.14 2,640,000.00 2,370,000.00 49,910.00 0.00 50,090.00 2,290,000.00 47,560.81 -0.01 3,310,000.00 50,901.00 3,600,000.00 49,550.00 50,064.43 0.02 0.02 0.00 50,270.00 48,188.42 48,130.78 -0.01 48,365.99 47,872.70 50,360.00 50,901.00 38,800.00 48,036.06 48,104.65 48,016.40 38,800.00 38,800.00 38,800.00 48,497.80 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-30 47,180.50 0.01 49,189.67 -0.01 -0.03 3,310,000.00 2,290,000.00 2,041,233.33 0.02 3,600,000.00 -0.01 2,277,671.43 2,520,000.00 2,640,000.00 48,559.00 1.00 50,901.00 1,560,000.00 48,104.65 0.02 2,370,000.00 50,270.00 963,700.00 50,360.00 49,807.14 0.00 -0.01 -0.01 49,550.00 48,497.80 47,998.76 -0.01 47,869.49 48,365.99 49,910.00 50,901.00 38,800.00 47,805.33 48,188.42 47,872.70 38,800.00 38,800.00 38,800.00 48,016.40 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2024-12-31 47,518.87 0.00 48,969.67 -0.00 0.01 2,370,000.00 1,560,000.00 1,840,333.33 0.00 963,700.00 -0.00 2,075,857.14 2,290,000.00 2,520,000.00 49,100.00 1.00 50,901.00 3,600,000.00 48,188.42 -0.01 2,640,000.00 49,550.00 957,300.00 49,910.00 49,571.29 -0.01 -0.03 -0.01 50,360.00 48,016.40 47,903.11 0.02 47,180.50 47,869.49 48,559.00 50,270.00 38,800.00 47,522.96 48,497.80 48,365.99 38,800.00 38,800.00 38,800.00 47,872.70 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-02 47,787.74 0.00 49,216.67 0.01 0.00 2,640,000.00 3,600,000.00 811,333.33 -0.01 957,300.00 -0.00 1,772,000.00 1,560,000.00 2,290,000.00 49,250.00 1.00 50,270.00 963,700.00 48,497.80 -0.03 2,520,000.00 50,360.00 513,000.00 48,559.00 49,432.71 -0.01 0.01 0.02 49,910.00 47,872.70 47,801.67 -0.01 47,518.87 47,180.50 49,100.00 49,550.00 38,800.00 47,495.70 48,016.40 47,869.49 38,800.00 38,800.00 38,800.00 48,365.99 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-03 47,653.37 0.00 49,300.00 0.00 0.00 2,520,000.00 963,700.00 1,120,100.00 -0.01 513,000.00 -0.00 1,682,000.00 3,600,000.00 1,560,000.00 49,300.00 1.00 49,550.00 957,300.00 48,016.40 0.01 2,290,000.00 49,910.00 1,890,000.00 49,100.00 49,404.14 0.02 0.00 -0.01 48,559.00 48,365.99 47,749.81 -0.03 47,787.74 47,518.87 49,250.00 50,360.00 38,800.00 47,653.33 47,872.70 47,180.50 38,800.00 38,800.00 38,800.00 47,869.49 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-06 47,677.90 -0.01 49,216.67 -0.00 0.00 2,290,000.00 957,300.00 1,184,333.33 0.02 1,890,000.00 -0.00 1,519,142.86 963,700.00 3,600,000.00 49,350.00 0.00 50,360.00 513,000.00 47,872.70 0.00 1,560,000.00 48,559.00 1,150,000.00 49,250.00 49,209.86 -0.01 0.00 -0.03 49,100.00 47,869.49 47,721.98 0.01 47,653.37 47,787.74 49,300.00 49,910.00 38,800.00 47,706.34 48,365.99 47,518.87 38,800.00 38,800.00 38,800.00 47,180.50 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-07 47,729.55 -0.02 48,833.33 -0.01 -0.01 1,560,000.00 513,000.00 1,563,333.33 -0.01 1,150,000.00 -0.01 1,532,000.00 957,300.00 963,700.00 49,000.00 0.00 49,910.00 1,890,000.00 48,365.99 0.00 3,600,000.00 49,100.00 1,650,000.00 49,300.00 48,958.43 -0.03 0.00 0.01 49,250.00 47,180.50 47,631.06 0.00 47,677.90 47,653.37 49,350.00 48,559.00 38,800.00 47,686.94 47,869.49 47,787.74 38,800.00 38,800.00 38,800.00 47,518.87 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-08 46,150.64 -0.02 48,116.67 -0.01 -0.02 3,600,000.00 1,890,000.00 1,523,333.33 -0.03 1,650,000.00 -0.00 1,270,571.43 513,000.00 957,300.00 48,150.00 0.00 48,559.00 1,150,000.00 47,869.49 0.00 963,700.00 49,250.00 1,770,000.00 49,350.00 48,764.29 0.01 -0.01 0.00 49,300.00 47,518.87 47,385.51 0.00 47,729.55 47,677.90 49,000.00 49,100.00 38,800.00 47,186.03 47,180.50 47,653.37 38,800.00 38,800.00 38,800.00 47,787.74 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-09 44,918.28 -0.03 47,116.67 -0.02 -0.02 963,700.00 1,150,000.00 1,686,666.67 0.01 1,770,000.00 -0.01 1,367,185.71 1,890,000.00 513,000.00 47,200.00 0.00 49,100.00 1,650,000.00 47,180.50 -0.01 957,300.00 49,300.00 1,640,000.00 49,000.00 48,321.43 0.00 -0.02 0.00 49,350.00 47,787.74 47,062.34 0.00 46,150.64 47,729.55 48,150.00 49,250.00 38,800.00 46,266.16 47,518.87 47,677.90 38,800.00 38,800.00 38,800.00 47,653.37 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-10 43,176.57 -0.03 45,950.00 -0.02 -0.03 957,300.00 1,650,000.00 1,730,000.00 0.00 1,640,000.00 -0.01 1,484,714.29 1,150,000.00 1,890,000.00 46,000.00 0.00 49,250.00 1,770,000.00 47,518.87 -0.02 513,000.00 49,350.00 1,780,000.00 48,150.00 47,664.29 0.00 -0.02 0.00 49,000.00 47,653.37 46,442.01 -0.01 44,918.28 46,150.64 47,200.00 49,300.00 38,800.00 44,748.50 47,787.74 47,729.55 38,800.00 38,800.00 38,800.00 47,677.90 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-13 43,077.60 0.00 45,150.00 -0.02 -0.03 513,000.00 1,770,000.00 1,666,666.67 0.00 1,780,000.00 -0.01 1,637,142.86 1,650,000.00 1,150,000.00 44,650.00 1.00 49,300.00 1,640,000.00 47,787.74 -0.02 1,890,000.00 49,000.00 1,580,000.00 47,200.00 47,021.43 0.00 -0.03 -0.01 48,150.00 47,677.90 45,769.13 -0.02 43,176.57 44,918.28 46,000.00 49,350.00 38,800.00 43,724.15 47,653.37 46,150.64 38,800.00 38,800.00 38,800.00 47,729.55 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-14 43,130.25 0.00 44,750.00 -0.01 0.00 1,890,000.00 1,640,000.00 1,315,200.00 0.00 1,580,000.00 -0.01 1,450,800.00 1,770,000.00 1,650,000.00 44,800.00 0.00 49,350.00 1,780,000.00 47,653.37 -0.03 1,150,000.00 48,150.00 585,600.00 46,000.00 46,371.43 -0.01 -0.03 -0.02 47,200.00 47,729.55 45,122.97 -0.02 43,077.60 43,176.57 44,650.00 49,000.00 38,800.00 43,128.14 47,677.90 44,918.28 38,800.00 38,800.00 38,800.00 46,150.64 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-15 42,891.35 0.01 44,900.00 0.00 0.00 1,150,000.00 1,780,000.00 877,466.67 -0.01 585,600.00 -0.01 1,353,200.00 1,640,000.00 1,770,000.00 44,800.00 1.00 49,000.00 1,580,000.00 47,677.90 -0.03 1,650,000.00 47,200.00 466,800.00 44,650.00 45,814.29 -0.02 0.00 -0.02 46,000.00 46,150.64 44,439.18 -0.03 43,130.25 43,077.60 44,800.00 48,150.00 38,800.00 43,033.06 47,729.55 43,176.57 38,800.00 38,800.00 38,800.00 44,918.28 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-16 43,803.01 0.02 45,333.33 0.01 0.01 1,650,000.00 1,580,000.00 669,766.67 -0.02 466,800.00 -0.01 1,254,185.71 1,780,000.00 1,640,000.00 45,100.00 1.00 48,150.00 585,600.00 47,729.55 0.00 1,770,000.00 46,000.00 956,900.00 44,800.00 45,521.43 -0.02 0.00 -0.03 44,650.00 44,918.28 43,878.24 -0.03 42,891.35 43,130.25 44,800.00 47,200.00 38,800.00 43,274.87 46,150.64 43,077.60 38,800.00 38,800.00 38,800.00 43,176.57 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-17 44,981.99 0.03 46,216.67 0.02 0.02 1,770,000.00 585,600.00 927,900.00 -0.02 956,900.00 0.00 1,195,614.29 1,580,000.00 1,780,000.00 46,100.00 1.00 47,200.00 466,800.00 46,150.64 0.00 1,640,000.00 44,650.00 1,360,000.00 44,800.00 45,557.14 -0.03 0.01 -0.03 44,800.00 43,176.57 43,711.29 0.00 43,803.01 42,891.35 45,100.00 46,000.00 38,800.00 43,892.12 44,918.28 43,130.25 38,800.00 38,800.00 38,800.00 43,077.60 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-20 44,610.06 -0.02 46,716.67 0.01 0.03 1,640,000.00 466,800.00 997,000.00 -0.03 1,360,000.00 0.00 1,057,628.57 585,600.00 1,580,000.00 47,450.00 0.00 46,000.00 956,900.00 44,918.28 0.01 1,780,000.00 44,800.00 674,100.00 45,100.00 45,642.86 -0.03 0.02 0.00 44,800.00 43,077.60 43,667.26 0.00 44,981.99 43,803.01 46,100.00 44,650.00 38,800.00 44,465.02 43,176.57 42,891.35 38,800.00 38,800.00 38,800.00 43,130.25 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-21 44,827.89 0.01 47,000.00 0.01 -0.02 1,780,000.00 956,900.00 901,366.67 -0.03 674,100.00 0.01 899,057.14 466,800.00 585,600.00 46,600.00 1.00 44,650.00 1,360,000.00 43,176.57 0.02 1,580,000.00 44,800.00 670,000.00 46,100.00 45,971.43 0.00 0.03 0.00 45,100.00 43,130.25 43,903.16 0.01 44,610.06 44,981.99 47,450.00 44,800.00 38,800.00 44,806.65 43,077.60 43,803.01 38,800.00 38,800.00 38,800.00 42,891.35 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-22 43,925.29 -0.01 46,650.00 -0.01 0.01 1,580,000.00 1,360,000.00 629,500.00 0.00 670,000.00 0.01 751,114.29 956,900.00 466,800.00 46,950.00 0.00 44,800.00 674,100.00 43,077.60 0.03 585,600.00 45,100.00 544,400.00 47,450.00 46,200.00 0.00 -0.02 0.01 46,100.00 42,891.35 44,024.26 0.02 44,827.89 44,610.06 46,600.00 44,800.00 38,800.00 44,454.41 43,130.25 44,981.99 38,800.00 38,800.00 38,800.00 43,803.01 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-23 44,534.46 0.02 46,950.00 0.01 -0.01 585,600.00 674,100.00 699,000.00 0.00 544,400.00 0.01 793,542.86 1,360,000.00 956,900.00 46,400.00 1.00 44,800.00 670,000.00 43,130.25 -0.02 466,800.00 46,100.00 882,600.00 46,600.00 46,585.71 0.01 0.01 0.02 47,450.00 43,803.01 44,224.86 0.03 43,925.29 44,827.89 46,950.00 45,100.00 38,800.00 44,429.21 42,891.35 44,610.06 38,800.00 38,800.00 38,800.00 44,981.99 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-01-24 43,948.24 -0.01 47,000.00 0.00 0.02 466,800.00 670,000.00 719,100.00 0.01 882,600.00 0.01 831,185.71 674,100.00 1,360,000.00 47,500.00 0.00 45,100.00 544,400.00 42,891.35 0.01 956,900.00 47,450.00 730,300.00 46,950.00 46,871.43 0.02 -0.01 0.03 46,600.00 44,981.99 44,375.85 -0.02 44,534.46 43,925.29 46,400.00 46,100.00 38,800.00 44,136.00 43,803.01 44,827.89 38,800.00 38,800.00 38,800.00 44,610.06 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-03 43,390.02 -0.05 46,466.67 -0.01 -0.01 956,900.00 544,400.00 1,200,966.67 0.02 730,300.00 -0.00 978,771.43 670,000.00 674,100.00 47,100.00 0.00 46,100.00 882,600.00 43,803.01 -0.01 1,360,000.00 46,600.00 1,990,000.00 46,400.00 46,685.71 0.03 0.02 -0.02 46,950.00 44,610.06 44,316.85 0.01 43,948.24 44,534.46 47,500.00 47,450.00 38,800.00 43,957.57 44,981.99 43,925.29 38,800.00 38,800.00 38,800.00 44,827.89 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-04 43,259.82 0.01 45,766.67 -0.01 -0.05 1,360,000.00 882,600.00 1,171,700.00 0.03 1,990,000.00 -0.01 898,028.57 544,400.00 670,000.00 44,800.00 1.00 47,450.00 730,300.00 44,981.99 0.02 674,100.00 46,950.00 794,800.00 47,500.00 46,392.86 -0.02 -0.01 0.01 46,400.00 44,827.89 44,070.83 -0.01 43,390.02 43,948.24 47,100.00 46,600.00 38,800.00 43,532.69 44,610.06 44,534.46 38,800.00 38,800.00 38,800.00 43,925.29 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-05 42,957.62 0.01 45,333.33 -0.01 0.01 674,100.00 730,300.00 1,185,966.67 -0.02 794,800.00 -0.00 912,171.43 882,600.00 544,400.00 45,400.00 1.00 46,600.00 1,990,000.00 44,610.06 -0.01 670,000.00 46,400.00 773,100.00 47,100.00 46,278.57 0.01 -0.05 -0.01 47,500.00 43,925.29 43,834.76 0.02 43,259.82 43,390.02 44,800.00 46,950.00 38,800.00 43,202.49 44,827.89 43,948.24 38,800.00 38,800.00 38,800.00 44,534.46 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-06 43,392.92 -0.01 45,466.67 0.00 0.01 670,000.00 1,990,000.00 771,133.33 0.01 773,100.00 -0.01 922,957.14 730,300.00 882,600.00 45,800.00 0.00 46,950.00 794,800.00 44,827.89 -0.05 544,400.00 47,500.00 745,500.00 44,800.00 46,028.57 -0.01 0.01 0.02 47,100.00 44,534.46 43,629.77 -0.01 42,957.62 43,259.82 45,400.00 46,400.00 38,800.00 43,203.45 43,925.29 43,390.02 38,800.00 38,800.00 38,800.00 43,948.24 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-07 42,954.01 -0.01 45,316.67 -0.00 -0.01 544,400.00 794,800.00 815,666.67 -0.01 745,500.00 -0.00 977,814.29 1,990,000.00 730,300.00 45,200.00 0.00 46,400.00 773,100.00 43,925.29 0.01 882,600.00 47,100.00 928,400.00 45,400.00 45,821.43 0.02 0.01 -0.01 44,800.00 43,948.24 43,491.01 -0.05 43,392.92 42,957.62 45,800.00 47,500.00 38,800.00 43,101.52 44,534.46 43,259.82 38,800.00 38,800.00 38,800.00 43,390.02 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-10 43,071.42 -0.02 44,733.33 -0.01 -0.01 882,600.00 773,100.00 1,174,633.33 0.02 928,400.00 -0.01 1,116,014.29 794,800.00 1,990,000.00 44,950.00 0.00 47,500.00 745,500.00 44,534.46 0.01 730,300.00 44,800.00 1,850,000.00 45,800.00 45,328.57 -0.01 -0.01 -0.05 45,400.00 43,390.02 43,282.01 0.01 42,954.01 43,392.92 45,200.00 47,100.00 38,800.00 43,139.45 43,948.24 42,957.62 38,800.00 38,800.00 38,800.00 43,259.82 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-11 43,037.46 0.01 44,550.00 -0.00 -0.02 730,300.00 745,500.00 1,192,933.33 -0.01 1,850,000.00 -0.01 1,126,028.57 773,100.00 794,800.00 44,050.00 1.00 47,100.00 928,400.00 43,948.24 -0.01 1,990,000.00 45,400.00 800,400.00 45,200.00 44,978.57 -0.05 -0.01 0.01 45,800.00 43,259.82 43,151.90 0.01 43,071.42 42,954.01 44,950.00 44,800.00 38,800.00 43,020.96 43,390.02 43,392.92 38,800.00 38,800.00 38,800.00 42,957.62 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-12 43,445.85 0.02 44,683.33 0.00 0.01 1,990,000.00 928,400.00 1,171,033.33 -0.05 800,400.00 0.00 964,985.71 745,500.00 773,100.00 44,650.00 1.00 44,800.00 1,850,000.00 43,390.02 -0.01 794,800.00 45,800.00 862,700.00 44,950.00 45,057.14 0.01 -0.02 0.01 45,200.00 42,957.62 43,159.87 -0.01 43,037.46 43,071.42 44,050.00 45,400.00 38,800.00 43,184.91 43,259.82 42,954.01 38,800.00 38,800.00 38,800.00 43,392.92 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-13 43,571.26 -0.00 45,083.33 0.01 0.02 794,800.00 1,850,000.00 742,533.33 0.01 862,700.00 -0.00 932,085.71 928,400.00 745,500.00 45,350.00 0.00 45,400.00 800,400.00 43,259.82 -0.02 773,100.00 45,200.00 564,500.00 44,050.00 45,035.71 0.01 0.01 -0.01 44,950.00 43,392.92 43,204.36 -0.01 43,445.85 43,037.46 44,650.00 45,800.00 38,800.00 43,351.52 42,957.62 43,071.42 38,800.00 38,800.00 38,800.00 42,954.01 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-14 43,394.00 -0.01 45,200.00 0.00 -0.00 773,100.00 800,400.00 746,133.33 0.01 564,500.00 -0.00 937,528.57 1,850,000.00 928,400.00 45,250.00 0.00 45,800.00 862,700.00 42,957.62 0.01 745,500.00 44,950.00 811,200.00 44,650.00 44,921.43 -0.01 0.02 -0.01 44,050.00 42,954.01 43,266.70 -0.02 43,571.26 43,445.85 45,350.00 45,200.00 38,800.00 43,470.37 43,392.92 43,037.46 38,800.00 38,800.00 38,800.00 43,071.42 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-17 42,916.62 -0.01 44,933.33 -0.01 -0.01 745,500.00 862,700.00 764,366.67 -0.01 811,200.00 -0.00 962,085.71 800,400.00 1,850,000.00 45,000.00 0.00 45,200.00 564,500.00 43,392.92 0.02 928,400.00 44,050.00 917,400.00 45,350.00 44,828.57 -0.01 -0.00 -0.02 44,650.00 43,071.42 43,198.66 0.01 43,394.00 43,571.26 45,250.00 44,950.00 38,800.00 43,293.96 42,954.01 43,445.85 38,800.00 38,800.00 38,800.00 43,037.46 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-18 42,922.89 0.00 44,716.67 -0.00 -0.01 928,400.00 564,500.00 773,033.33 -0.01 917,400.00 -0.00 913,814.29 862,700.00 800,400.00 44,550.00 1.00 44,950.00 811,200.00 42,954.01 -0.00 1,850,000.00 44,650.00 590,500.00 45,250.00 44,778.57 -0.02 -0.01 0.01 45,350.00 43,037.46 43,194.21 0.02 42,916.62 43,394.00 45,000.00 44,050.00 38,800.00 43,077.84 43,071.42 43,571.26 38,800.00 38,800.00 38,800.00 43,445.85 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-19 43,499.99 0.01 44,800.00 0.00 0.00 1,850,000.00 811,200.00 855,966.67 -0.02 590,500.00 0.00 800,957.14 564,500.00 862,700.00 44,600.00 1.00 44,050.00 917,400.00 43,071.42 -0.01 800,400.00 45,350.00 1,060,000.00 45,000.00 44,950.00 0.01 -0.01 0.02 45,250.00 43,445.85 43,255.44 -0.00 42,922.89 42,916.62 44,550.00 44,650.00 38,800.00 43,113.17 43,037.46 43,394.00 38,800.00 38,800.00 38,800.00 43,571.26 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-20 43,447.06 -0.01 44,916.67 0.00 0.01 800,400.00 917,400.00 775,733.33 0.01 1,060,000.00 0.00 783,285.71 811,200.00 564,500.00 45,250.00 0.00 44,650.00 590,500.00 43,037.46 -0.01 862,700.00 45,250.00 676,700.00 44,550.00 44,985.71 0.02 0.00 -0.00 45,000.00 43,571.26 43,313.95 -0.01 43,499.99 42,922.89 44,600.00 45,350.00 38,800.00 43,289.98 43,445.85 42,916.62 38,800.00 38,800.00 38,800.00 43,394.00 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-21 43,296.97 -0.00 44,950.00 0.00 -0.01 862,700.00 590,500.00 872,233.33 0.02 676,700.00 -0.00 785,757.14 917,400.00 811,200.00 44,900.00 0.00 45,350.00 1,060,000.00 43,445.85 0.00 564,500.00 45,000.00 880,000.00 44,600.00 44,892.86 -0.00 0.01 -0.01 44,550.00 43,394.00 43,292.68 -0.01 43,447.06 43,499.99 45,250.00 45,250.00 38,800.00 43,414.67 43,571.26 42,922.89 38,800.00 38,800.00 38,800.00 42,916.62 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-24 43,264.80 -0.01 44,583.33 -0.01 -0.00 564,500.00 1,060,000.00 1,075,566.67 -0.00 880,000.00 -0.00 943,685.71 590,500.00 917,400.00 44,700.00 0.00 45,250.00 676,700.00 43,571.26 0.01 811,200.00 44,550.00 1,670,000.00 45,250.00 44,735.71 -0.01 -0.01 -0.01 44,600.00 42,916.62 43,248.90 0.00 43,296.97 43,447.06 44,900.00 45,000.00 38,800.00 43,336.28 43,394.00 43,499.99 38,800.00 38,800.00 38,800.00 42,922.89 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
2025-02-25 43,190.95 0.00 44,350.00 -0.01 -0.01 811,200.00 676,700.00 1,163,300.00 -0.01 1,670,000.00 -0.00 962,071.43 1,060,000.00 590,500.00 44,150.00 1.00 45,000.00 880,000.00 43,394.00 -0.01 917,400.00 44,600.00 939,900.00 44,900.00 44,621.43 -0.01 -0.00 0.00 45,250.00 42,922.89 43,219.90 0.01 43,264.80 43,296.97 44,700.00 44,550.00 38,800.00 43,250.91 42,916.62 43,447.06 38,800.00 38,800.00 38,800.00 43,499.99 38,800.00 38,800.00 38,800.00 38,800.00 1.00 38,800.00 1.00 1.00 1.00 38,800.00 1.00 1.00 9.09 0.00 1.00 0.00 0.00 0.00 0.00 9.09 9.09 9.09 9.09 9.09 9.09 9.09 9.09 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 9.09 1.00 1.00 0.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Sử dụng LSTM để dự đoán cho giá trị tương lai 3 ngày tới

In [48]:
def lstm_train_finetune_predict(
    pred_df,
    actual_df,
    scaler,
    lookback=360,
    epochs_pretrain=1000,
    epochs_finetune=1000,
    batch_size=32,
    predict_days=7
):
    # Bước 1: Huấn luyện
    pred_series = pred_df['Prediction value'].values.reshape(-1, 1)
    last_date = pred_df.index[-1]
    scaled_pred = scaler.fit_transform(pred_series)

    def create_sequences(data, lookback):
        X, y = [], []
        for i in range(lookback, len(data)):
            X.append(data[i - lookback:i, 0])
            y.append(data[i, 0])
        X = np.array(X)
        y = np.array(y)
        return X.reshape(X.shape[0], X.shape[1], 1), y

    X_pred, y_pred = create_sequences(scaled_pred, lookback)
    split = int(len(X_pred) * 0.8)
    X_train_pred, X_val_pred = X_pred[:split], X_pred[split:]
    y_train_pred, y_val_pred = y_pred[:split], y_pred[split:]

    model = Sequential()
    model.add(LSTM(50, input_shape=(lookback, 1)))
    model.add(Dense(1))
    model.compile(optimizer='adam', loss='mean_squared_error')

    early_stop = EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True)

    model.fit(
        X_train_pred, y_train_pred,
        validation_data=(X_val_pred, y_val_pred),
        epochs=epochs_pretrain,
        batch_size=batch_size,
        callbacks=[early_stop],
        verbose=1
    )

    # Bước 2: Fine-tune trên giá thực
    actual_series = actual_df['Target'].values.reshape(-1, 1)
    scaled_actual = scaler.fit_transform(actual_series)

    X_actual, y_actual = create_sequences(scaled_actual, lookback)
    split_act = int(len(X_actual) * 0.8)
    X_train_act, X_val_act = X_actual[:split_act], X_actual[split_act:]
    y_train_act, y_val_act = y_actual[:split_act], y_actual[split_act:]

    model.fit(
        X_train_act, y_train_act,
        validation_data=(X_val_act, y_val_act),
        epochs=epochs_finetune,
        batch_size=batch_size,
        callbacks=[early_stop],
        verbose=1
    )

    # Dự đoán ngày mới
    last_seq = scaled_actual[-lookback:].reshape(1, lookback, 1)
    future_scaled_preds = []

    for _ in range(predict_days):
        next_scaled = model.predict(last_seq, verbose=0)[0][0]
        future_scaled_preds.append(next_scaled)
        last_seq = np.append(last_seq[:, 1:, :], [[[next_scaled]]], axis=1)

    future_preds = scaler.inverse_transform(np.array(future_scaled_preds).reshape(-1, 1)).flatten()
    future_dates = pd.bdate_range(start=actual_df.index[-1] + pd.Timedelta(days=1), periods=predict_days)

    future_df = pd.DataFrame({
        'Date': future_dates,
        'Predicted Closing Price': future_preds
    })

    return model, future_df
In [53]:
days = 3
model_predict_cmg, predict_cmg_price_further = lstm_train_finetune_predict(prediction_cmg, regressor_cmg[['Target']], model['CMG']['X_scaler'], predict_days=days)
print(f"Dự đoán giá cổ  phiếu CMG thời gian {days} ngày tới")
display(predict_cmg_price_further)

Epoch 1/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 4s 461ms/step - loss: 1.2229 - val_loss: 0.8650
Epoch 2/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 270ms/step - loss: 0.7979 - val_loss: 0.5059
Epoch 3/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 253ms/step - loss: 0.4448 - val_loss: 0.2145
Epoch 4/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 248ms/step - loss: 0.1689 - val_loss: 0.0214
Epoch 5/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 240ms/step - loss: 0.0145 - val_loss: 0.0466
Epoch 6/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 247ms/step - loss: 0.0618 - val_loss: 0.0758
Epoch 7/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 203ms/step - loss: 0.0624 - val_loss: 0.0171
Epoch 8/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 211ms/step - loss: 0.0118 - val_loss: 5.9487e-04
Epoch 9/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 214ms/step - loss: 0.0022 - val_loss: 0.0096
Epoch 10/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 207ms/step - loss: 0.0118 - val_loss: 0.0161
Epoch 11/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 282ms/step - loss: 0.0160 - val_loss: 0.0139
Epoch 12/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 234ms/step - loss: 0.0126 - val_loss: 0.0068
Epoch 13/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 231ms/step - loss: 0.0057 - val_loss: 0.0013
Epoch 1/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 240ms/step - loss: 0.0108 - val_loss: 0.0197
Epoch 2/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 262ms/step - loss: 0.0130 - val_loss: 0.0175
Epoch 3/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 241ms/step - loss: 0.0107 - val_loss: 0.0110
Epoch 4/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 259ms/step - loss: 0.0060 - val_loss: 0.0054
Epoch 5/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 254ms/step - loss: 0.0035 - val_loss: 0.0022
Epoch 6/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 247ms/step - loss: 0.0029 - val_loss: 8.6957e-04
Epoch 7/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 219ms/step - loss: 0.0030 - val_loss: 5.4699e-04
Epoch 8/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 220ms/step - loss: 0.0045 - val_loss: 5.1144e-04
Epoch 9/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 270ms/step - loss: 0.0042 - val_loss: 5.2920e-04
Epoch 10/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 213ms/step - loss: 0.0034 - val_loss: 6.3820e-04
Epoch 11/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 247ms/step - loss: 0.0035 - val_loss: 9.4109e-04
Epoch 12/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 218ms/step - loss: 0.0027 - val_loss: 0.0014
Epoch 13/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 241ms/step - loss: 0.0026 - val_loss: 0.0020
Dự đoán giá cổ  phiếu CMG thời gian 3 ngày tới
Date Predicted Closing Price
0 2025-02-26 44,614.54
1 2025-02-27 44,554.74
2 2025-02-28 44,507.10

Giá cổ phiếu CMG thực tế 3 ngày đó:

  • 2025-02-26: 44600 VNĐ
  • 2025-02-27: 44450 VNĐ
  • 2025-02-28: 44400 VNĐ
In [54]:
days = 3
model_predict_fpt, predict_fpt_price_further = lstm_train_finetune_predict(prediction_fpt, regressor_fpt[['Target']], model['FPT']['X_scaler'], predict_days=days)
print(f"Dự đoán giá cổ  phiếu CMG thời gian {days} ngày tới")
display(predict_fpt_price_further)

Epoch 1/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 4s 483ms/step - loss: 0.8391 - val_loss: 0.6667
Epoch 2/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 205ms/step - loss: 0.5647 - val_loss: 0.3914
Epoch 3/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 216ms/step - loss: 0.3191 - val_loss: 0.1466
Epoch 4/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 276ms/step - loss: 0.1052 - val_loss: 0.0022
Epoch 5/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 250ms/step - loss: 0.0083 - val_loss: 0.0698
Epoch 6/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 299ms/step - loss: 0.0729 - val_loss: 0.0473
Epoch 7/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 268ms/step - loss: 0.0385 - val_loss: 0.0031
Epoch 8/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 312ms/step - loss: 0.0037 - val_loss: 0.0044
Epoch 9/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 233ms/step - loss: 0.0063 - val_loss: 0.0153
Epoch 1/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 228ms/step - loss: 0.0040 - val_loss: 5.3828e-04
Epoch 2/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 234ms/step - loss: 0.0061 - val_loss: 3.2942e-04
Epoch 3/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 286ms/step - loss: 0.0042 - val_loss: 5.5482e-04
Epoch 4/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 284ms/step - loss: 0.0022 - val_loss: 0.0031
Epoch 5/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 282ms/step - loss: 0.0023 - val_loss: 0.0059
Epoch 6/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 271ms/step - loss: 0.0031 - val_loss: 0.0056
Epoch 7/1000
3/3 ━━━━━━━━━━━━━━━━━━━━ 1s 266ms/step - loss: 0.0028 - val_loss: 0.0031
Dự đoán giá cổ  phiếu CMG thời gian 3 ngày tới
Date Predicted Closing Price
0 2025-03-13 137,930.36
1 2025-03-14 137,690.94
2 2025-03-17 137,462.42

Giá cổ phiếu FPT 3 ngày đó:

  • 2025-03-13: 136500 VNĐ
  • 2025-03-14: 131400 VNĐ
  • 2025-03-17: 130000 VNĐ